{
  "citation": "@article{qrecc,\n  title={Open-Domain Question Answering Goes Conversational via Question Rewriting},\n  author={Anantha, Raviteja and Vakulenko, Svitlana and Tu, Zhucheng and Longpre, Shayne and Pulman, Stephen and Chappidi, Srinivas},\n  journal={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},\n  year={2021}\n}",
  "description": "A dataset containing 14K conversations with 81K question-answer pairs. QReCC is built on questions from TREC CAsT, QuAC and Google Natural Questions.",
  "downloadSize": "7971464",
  "fileFormat": "tfrecord",
  "location": {
    "urls": [
      "https://github.com/apple/ml-qrecc"
    ]
  },
  "moduleName": "tensorflow_datasets.text.qrecc.qrecc",
  "name": "q_re_cc",
  "releaseNotes": {
    "1.0.0": "Initial release."
  },
  "splits": [
    {
      "filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}",
      "name": "train",
      "numBytes": "57369720",
      "shardLengths": [
        "63501"
      ]
    },
    {
      "filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}",
      "name": "test",
      "numBytes": "15288871",
      "shardLengths": [
        "16451"
      ]
    }
  ],
  "version": "1.0.0"
}