애셋

참고자료:

단순화

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:asset/simplification')
  • 설명 :
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.
  • 라이센스 : Creative Common Attribution-NonCommercial 4.0 International
  • 버전 : 1.0.0
  • 분할 :
나뉘다
'test' 359
'validation' 2000
  • 특징 :
{
    "original": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "simplifications": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

평가

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:asset/ratings')
  • 설명 :
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.
  • 라이센스 : Creative Common Attribution-NonCommercial 4.0 International
  • 버전 : 1.0.0
  • 분할 :
나뉘다
'full' 4500
  • 특징 :
{
    "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"
    }
}