spider_sql_schema / README.md
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metadata
language:
  - en
license: mit
dataset_info:
  features:
    - name: db_id
      dtype: string
    - name: schema
      sequence: string
    - name: question
      dtype: string
    - name: query
      dtype: string
    - name: query_toks
      sequence: string
    - name: query_toks_no_value
      sequence: string
    - name: question_toks
      sequence: string
  splits:
    - name: train
      num_bytes: 15408745
      num_examples: 7000
    - name: validation
      num_bytes: 1706072
      num_examples: 1034
  download_size: 1045566
  dataset_size: 17114817
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*

Citation

@inproceedings{yu-etal-2018-spider,
    title = "{S}pider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-{SQL} Task",
    author = "Yu, Tao  and
      Zhang, Rui  and
      Yang, Kai  and
      Yasunaga, Michihiro  and
      Wang, Dongxu  and
      Li, Zifan  and
      Ma, James  and
      Li, Irene  and
      Yao, Qingning  and
      Roman, Shanelle  and
      Zhang, Zilin  and
      Radev, Dragomir",
    editor = "Riloff, Ellen  and
      Chiang, David  and
      Hockenmaier, Julia  and
      Tsujii, Jun{'}ichi",
    booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
    month = oct # "-" # nov,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D18-1425",
    doi = "10.18653/v1/D18-1425",
    pages = "3911--3921",
    archivePrefix={arXiv},
    eprint={1809.08887},
    primaryClass={cs.CL},
}