参照：
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:liveqa')
- 説明：
This is LiveQA, a Chinese dataset constructed from play-by-play live broadcast.
It contains 117k multiple-choice questions written by human commentators for over 1,670 NBA games,
which are collected from the Chinese Hupu website.
- ライセンス：既知のライセンスはありません
- バージョン：1.0.0
- 分割：
| スプリット | 例 |
|---|---|
'train' | 1670 |
- 特徴：
{
"id": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"passages": {
"feature": {
"is_question": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"candidate1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"candidate2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
参照：
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:liveqa')
- 説明：
This is LiveQA, a Chinese dataset constructed from play-by-play live broadcast.
It contains 117k multiple-choice questions written by human commentators for over 1,670 NBA games,
which are collected from the Chinese Hupu website.
- ライセンス：既知のライセンスはありません
- バージョン：1.0.0
- 分割：
| スプリット | 例 |
|---|---|
'train' | 1670 |
- 特徴：
{
"id": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"passages": {
"feature": {
"is_question": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"candidate1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"candidate2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}