{
  "citation": "\n@article{Narayan2018DontGM,\n  title={Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization},\n  author={Shashi Narayan and Shay B. Cohen and Mirella Lapata},\n  journal={ArXiv},\n  year={2018},\n  volume={abs/1808.08745}\n}\n",
  "description": "\nExtreme Summarization (XSum) Dataset.\n\nThere are two features:\n  - document: Input news article.\n  - summary: One sentence summary of the article.\n\nThis data need to manaully downloaded and extracted as described in\nhttps://github.com/EdinburghNLP/XSum/blob/master/XSum-Dataset/README.md.\nThe folder 'xsum-extracts-from-downloads' need to be compressed as\n'xsum-extracts-from-downloads.tar.gz' and put in manually downloaded folder.\n",
  "location": {
    "urls": [
      "https://github.com/EdinburghNLP/XSum/tree/master/XSum-Dataset"
    ]
  },
  "name": "xsum",
  "schema": {
    "feature": [
      {
        "name": "document",
        "type": "BYTES"
      },
      {
        "name": "summary",
        "type": "BYTES"
      }
    ]
  },
  "sizeInBytes": "2720574",
  "splits": [
    {
      "name": "test",
      "numShards": "1",
      "shardLengths": [
        "11301"
      ],
      "statistics": {
        "features": [
          {
            "bytesStats": {
              "commonStats": {
                "numNonMissing": "11301"
              }
            },
            "name": "document",
            "type": "BYTES"
          },
          {
            "bytesStats": {
              "commonStats": {
                "numNonMissing": "11301"
              }
            },
            "name": "summary",
            "type": "BYTES"
          }
        ],
        "numExamples": "11301"
      }
    },
    {
      "name": "train",
      "numShards": "1",
      "shardLengths": [
        "50894",
        "50894",
        "50895",
        "50894"
      ],
      "statistics": {
        "features": [
          {
            "bytesStats": {
              "commonStats": {
                "numNonMissing": "203577"
              }
            },
            "name": "document",
            "type": "BYTES"
          },
          {
            "bytesStats": {
              "commonStats": {
                "numNonMissing": "203577"
              }
            },
            "name": "summary",
            "type": "BYTES"
          }
        ],
        "numExamples": "203577"
      }
    },
    {
      "name": "validation",
      "numShards": "1",
      "shardLengths": [
        "11305"
      ],
      "statistics": {
        "features": [
          {
            "bytesStats": {
              "commonStats": {
                "numNonMissing": "11305"
              }
            },
            "name": "document",
            "type": "BYTES"
          },
          {
            "bytesStats": {
              "commonStats": {
                "numNonMissing": "11305"
              }
            },
            "name": "summary",
            "type": "BYTES"
          }
        ],
        "numExamples": "11305"
      }
    }
  ],
  "supervisedKeys": {
    "input": "document",
    "output": "summary"
  },
  "version": "1.1.0"
}