References:
SearchQA
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:multi_re_qa/SearchQA')
- Description:
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- License: No known license
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'train' |
3163801 |
'validation' |
454836 |
- Features:
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
TriviaQA
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:multi_re_qa/TriviaQA')
- Description:
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- License: No known license
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'train' |
1893674 |
'validation' |
238339 |
- Features:
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
HotpotQA
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:multi_re_qa/HotpotQA')
- Description:
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- License: No known license
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'train' |
508879 |
'validation' |
52191 |
- Features:
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
SQuAD
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:multi_re_qa/SQuAD')
- Description:
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- License: No known license
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'train' |
95659 |
'validation' |
10642 |
- Features:
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
NaturalQuestions
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:multi_re_qa/NaturalQuestions')
- Description:
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- License: No known license
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'train' |
448355 |
'validation' |
22118 |
- Features:
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
BioASQ
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:multi_re_qa/BioASQ')
- Description:
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- License: No known license
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
14158 |
- Features:
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
RelationExtraction
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:multi_re_qa/RelationExtraction')
- Description:
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- License: No known license
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
3301 |
- Features:
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
TextbookQA
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:multi_re_qa/TextbookQA')
- Description:
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- License: No known license
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
71147 |
- Features:
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
DuoRC
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:multi_re_qa/DuoRC')
- Description:
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- License: No known license
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
5525 |
- Features:
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}