KaifengGGG/spider_sql_schema

---
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},
}

```

原始信息汇总

数据集概述

数据集特征

• db_id: 数据类型为字符串
• schema: 数据类型为字符串序列
• question: 数据类型为字符串
• query: 数据类型为字符串
• query_toks: 数据类型为字符串序列
• query_toks_no_value: 数据类型为字符串序列
• question_toks: 数据类型为字符串序列

数据集分割

• train:
  • 数据大小: 15408745 字节
  • 示例数量: 7000
• validation:
  • 数据大小: 1706072 字节
  • 示例数量: 1034

数据集大小

• 下载大小: 1045566 字节
• 数据集总大小: 17114817 字节

数据文件配置

• default:
  • train: 路径为 data/train-*
  • validation: 路径为 data/validation-*