参考文献:
単純化
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:asset/simplification')
- 説明：
ASSET is a dataset for evaluating Sentence Simplification systems with multiple rewriting transformations,
as described in "ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations".
The corpus is composed of 2000 validation and 359 test original sentences that were each simplified 10 times by different annotators.
The corpus also contains human judgments of meaning preservation, fluency and simplicity for the outputs of several automatic text simplification systems.
- ライセンス: Creative Common Attribution-NonCommercial 4.0 International
- バージョン: 1.0.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 359 |
'validation' | 2000年 |
- 特徴：
{
"original": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"simplifications": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
評価
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:asset/ratings')
- 説明：
ASSET is a dataset for evaluating Sentence Simplification systems with multiple rewriting transformations,
as described in "ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations".
The corpus is composed of 2000 validation and 359 test original sentences that were each simplified 10 times by different annotators.
The corpus also contains human judgments of meaning preservation, fluency and simplicity for the outputs of several automatic text simplification systems.
- ライセンス: Creative Common Attribution-NonCommercial 4.0 International
- バージョン: 1.0.0
- 分割:
| スプリット | 例 |
|---|---|
'full' | 4500 |
- 特徴：
{
"original": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"simplification": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"original_sentence_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"aspect": {
"num_classes": 3,
"names": [
"meaning",
"fluency",
"simplicity"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"worker_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"rating": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}