cnn_daymail

ds = tfds.load('huggingface:cnn_dailymail/3.0.0')

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

{
    "article": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "highlights": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ds = tfds.load('huggingface:cnn_dailymail/1.0.0')

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

{
    "article": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "highlights": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ds = tfds.load('huggingface:cnn_dailymail/2.0.0')

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

{
    "article": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "highlights": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}