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cnn_dailymail

参考:

3.0.0

使用以下命令在 TFDS 中加载此数据集:

ds = tfds.load('huggingface:cnn_dailymail/3.0.0')
  • 说明
CNN/DailyMail non-anonymized summarization dataset.

There are two features:
  - article: text of news article, used as the document to be summarized
  - highlights: joined text of highlights with <s> and </s> around each
    highlight, which is the target summary
  • 许可:无已知许可
  • 版本:3.0.0
  • 拆分
拆分 样本
'test' 11490
'train' 287113
'validation' 13368
  • 特征
{
    "article": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "highlights": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

1.0.0

使用以下命令在 TFDS 中加载此数据集:

ds = tfds.load('huggingface:cnn_dailymail/1.0.0')
  • 说明
CNN/DailyMail non-anonymized summarization dataset.

There are two features:
  - article: text of news article, used as the document to be summarized
  - highlights: joined text of highlights with <s> and </s> around each
    highlight, which is the target summary
  • 许可:无已知许可
  • 版本:1.0.0
  • 拆分
拆分 样本
'test' 11490
'train' 287113
'validation' 13368
  • 特征
{
    "article": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "highlights": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2.0.0

使用以下命令在 TFDS 中加载此数据集:

ds = tfds.load('huggingface:cnn_dailymail/2.0.0')
  • 说明
CNN/DailyMail non-anonymized summarization dataset.

There are two features:
  - article: text of news article, used as the document to be summarized
  - highlights: joined text of highlights with <s> and </s> around each
    highlight, which is the target summary
  • 许可:无已知许可
  • 版本:2.0.0
  • 拆分
拆分 样本
'test' 11490
'train' 287113
'validation' 13368
  • 特征
{
    "article": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "highlights": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}