参照：
en-qa1
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa1')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa2
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa2')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa3
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa3')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa4
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa4')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 1000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa5
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa5')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa6
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa6')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa7
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa7')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa8
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa8')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa9
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa9')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa10
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa10')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa11
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa11')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa12
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa12')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa13
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa13')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa14
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa14')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa15
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa15')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 250 |
'train' | 250 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa16
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa16')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 1000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa17
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa17')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 125 |
'train' | 125 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa18
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa18')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 199 |
'train' | 198 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa19
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa19')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 1000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-qa20
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-qa20')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 93 |
'train' | 94 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa1
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa1')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa2
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa2')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa3
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa3')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 167 |
'train' | 167 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa4
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa4')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 1000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa5
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa5')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa6
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa6')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa7
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa7')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa8
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa8')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa9
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa9')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa10
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa10')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa11
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa11')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa12
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa12')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa13
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa13')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 125 |
'train' | 125 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa14
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa14')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa15
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa15')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 250 |
'train' | 250 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa16
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa16')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 1000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa17
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa17')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 125 |
'train' | 125 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa18
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa18')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 198 |
'train' | 198 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa19
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa19')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 1000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-qa20
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-qa20')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 94 |
'train' | 93 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa1
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa1')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa2
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa2')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa3
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa3')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa4
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa4')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 10000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa5
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa5')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa6
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa6')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa7
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa7')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa8
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa8')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa9
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa9')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa10
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa10')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa11
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa11')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa12
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa12')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa13
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa13')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa14
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa14')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa15
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa15')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 250 |
'train' | 2500 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa16
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa16')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 10000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa17
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa17')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 125 |
'train' | 1250 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa18
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa18')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 199 |
'train' | 1978年 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa19
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa19')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 10000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-10k-qa20
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-10k-qa20')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 93 |
'train' | 933 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa1
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa1')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 180 |
'validation' | 20 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa2
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa2')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 180 |
'validation' | 20 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa3
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa3')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 180 |
'validation' | 20 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa4
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa4')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 900 |
'validation' | 100 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa5
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa5')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 180 |
'validation' | 20 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa6
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa6')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 180 |
'validation' | 20 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa7
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa7')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 180 |
'validation' | 20 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa8
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa8')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 180 |
'validation' | 20 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa9
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa9')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 180 |
'validation' | 20 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa10
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa10')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 180 |
'validation' | 20 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa11
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa11')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 180 |
'validation' | 20 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa12
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa12')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 180 |
'validation' | 20 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa13
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa13')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 180 |
'validation' | 20 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa14
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa14')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 180 |
'validation' | 20 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa15
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa15')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 250 |
'train' | 225 |
'validation' | 25 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa16
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa16')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 900 |
'validation' | 100 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa17
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa17')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 125 |
'train' | 113 |
'validation' | 12 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa18
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa18')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 199 |
'train' | 179 |
'validation' | 19 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa19
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa19')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 900 |
'validation' | 100 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-qa20
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-qa20')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 93 |
'train' | 85 |
'validation' | 9 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa1
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa1')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 1800 |
'validation' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa2
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa2')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 1800 |
'validation' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa3
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa3')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 1800 |
'validation' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa4
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa4')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 9000 |
'validation' | 1000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa5
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa5')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 1800 |
'validation' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa6
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa6')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 1800 |
'validation' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa7
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa7')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 1800 |
'validation' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa8
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa8')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 1800 |
'validation' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa9
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa9')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 1800 |
'validation' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa10
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa10')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 1800 |
'validation' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa11
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa11')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 1800 |
'validation' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa12
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa12')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 1800 |
'validation' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa13
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa13')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 1800 |
'validation' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa14
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa14')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 1800 |
'validation' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa15
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa15')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 250 |
'train' | 2250 |
'validation' | 250 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa16
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa16')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 9000 |
'validation' | 1000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa17
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa17')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 125 |
'train' | 1125 |
'validation' | 125 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa18
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa18')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 199 |
'train' | 1781年 |
'validation' | 197 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa19
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa19')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 9000 |
'validation' | 1000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
en-valid-10k-qa20
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa20')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 93 |
'train' | 840 |
'validation' | 93 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa1
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa1')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa2
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa2')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa3
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa3')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 167 |
'train' | 1667年 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa4
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa4')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 10000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa5
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa5')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa6
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa6')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa7
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa7')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa8
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa8')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa9
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa9')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa10
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa10')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa11
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa11')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa12
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa12')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa13
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa13')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 125 |
'train' | 1250 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa14
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa14')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa15
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa15')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 250 |
'train' | 2500 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa16
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa16')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 10000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa17
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa17')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 125 |
'train' | 1250 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa18
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa18')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 198 |
'train' | 1977 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa19
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa19')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 10000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hn-10k-qa20
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/hn-10k-qa20')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 94 |
'train' | 934 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa1
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa1')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa2
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa2')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa3
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa3')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa4
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa4')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 1000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa5
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa5')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa6
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa6')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa7
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa7')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa8
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa8')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa9
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa9')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa10
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa10')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa11
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa11')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa12
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa12')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa13
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa13')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa14
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa14')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 200 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa15
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa15')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 250 |
'train' | 250 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa16
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa16')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 1000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa17
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa17')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 125 |
'train' | 125 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa18
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa18')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 199 |
'train' | 198 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa19
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa19')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 1000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-qa20
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-qa20')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 93 |
'train' | 94 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa1
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa1')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa2
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa2')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa3
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa3')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa4
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa4')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 10000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa5
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa5')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa6
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa6')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa7
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa7')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa8
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa8')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa9
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa9')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa10
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa10')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa11
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa11')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa12
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa12')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa13
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa13')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa14
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa14')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 200 |
'train' | 2000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa15
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa15')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 250 |
'train' | 2500 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa16
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa16')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 10000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa17
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa17')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 125 |
'train' | 1250 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa18
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa18')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 199 |
'train' | 1978年 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa19
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa19')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 1000 |
'train' | 10000 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
シャッフル-10k-qa20
次のコマンドを使用して、このデータセットをTFDSにロードします。
ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa20')
- 説明：
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
- ライセンス：クリエイティブ・コモンズ表示3.0ライセンス
- バージョン：1.2.0
- 分割：
| スプリット | 例 |
|---|---|
'test' | 93 |
'train' | 933 |
- 特徴：
{
"story": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"type": {
"num_classes": 2,
"names": [
"context",
"question"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_ids": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}