参考：
raw
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:aqua_rat/raw')
- 说明：
A large-scale dataset consisting of approximately 100,000 algebraic word problems.
The solution to each question is explained step-by-step using natural language.
This data is used to train a program generation model that learns to generate the explanation,
while generating the program that solves the question.
- 许可：Copyright 2017 Google Inc.
根据 Apache 许可 2.0（“许可”）获得许可；除非遵循许可要求，否则您不得使用此文件。您可在以下网址获得许可的副本：
http://www.apache.org/licenses/LICENSE-2.0
除非适用法律要求或以书面形式同意，否则在本许可下分发的软件将在“按原样”的基础上分发，不存在任何明示或暗示的任何类型的保证或条件。有关在本许可下管理权限和限制的特定语言，请参阅本许可。
- 版本：0.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'test' |
254 |
'train' |
97467 |
'validation' |
254 |
- 特征：
{
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"options": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"rationale": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
tokenized
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:aqua_rat/tokenized')
- 说明：
A large-scale dataset consisting of approximately 100,000 algebraic word problems.
The solution to each question is explained step-by-step using natural language.
This data is used to train a program generation model that learns to generate the explanation,
while generating the program that solves the question.
- 许可：Copyright 2017 Google Inc.
根据 Apache 许可 2.0（“许可”）获得许可；除非遵循许可要求，否则您不得使用此文件。您可在以下网址获得许可的副本：
http://www.apache.org/licenses/LICENSE-2.0
除非适用法律要求或以书面形式同意，否则在本许可下分发的软件将在“按原样”的基础上分发，不存在任何明示或暗示的任何类型的保证或条件。有关在本许可下管理权限和限制的特定语言，请参阅本许可。
- 版本：0.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'test' |
254 |
'train' |
97467 |
'validation' |
254 |
- 特征：
{
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"options": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"rationale": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"correct": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}