spider_sql_schema / README.md
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---
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},
}
```