Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Annotations Creators:
crowdsourced
Source Datasets:
original
ArXiv:
Tags:
text-to-sql
License:
wikisql / README.md
albertvillanova's picture
Convert dataset sizes from base 2 to base 10 in the dataset card (#2)
829510c
---
annotations_creators:
- crowdsourced
language:
- en
language_creators:
- found
- machine-generated
license:
- unknown
multilinguality:
- monolingual
pretty_name: WikiSQL
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text2text-generation
task_ids: []
paperswithcode_id: wikisql
tags:
- text-to-sql
dataset_info:
features:
- name: phase
dtype: int32
- name: question
dtype: string
- name: table
struct:
- name: header
sequence: string
- name: page_title
dtype: string
- name: page_id
dtype: string
- name: types
sequence: string
- name: id
dtype: string
- name: section_title
dtype: string
- name: caption
dtype: string
- name: rows
sequence:
sequence: string
- name: name
dtype: string
- name: sql
struct:
- name: human_readable
dtype: string
- name: sel
dtype: int32
- name: agg
dtype: int32
- name: conds
sequence:
- name: column_index
dtype: int32
- name: operator_index
dtype: int32
- name: condition
dtype: string
splits:
- name: test
num_bytes: 32234761
num_examples: 15878
- name: validation
num_bytes: 15159314
num_examples: 8421
- name: train
num_bytes: 107345917
num_examples: 56355
download_size: 26164664
dataset_size: 154739992
---
# Dataset Card for "wikisql"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Repository:** https://github.com/salesforce/WikiSQL
- **Paper:** [Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning](https://arxiv.org/abs/1709.00103)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of downloaded dataset files:** 26.16 MB
- **Size of the generated dataset:** 154.74 MB
- **Total amount of disk used:** 180.90 MB
### Dataset Summary
A large crowd-sourced dataset for developing natural language interfaces for relational databases.
WikiSQL is a dataset of 80654 hand-annotated examples
of questions and SQL queries distributed across 24241 tables from Wikipedia.
### Supported Tasks and Leaderboards
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Languages
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## Dataset Structure
### Data Instances
#### default
- **Size of downloaded dataset files:** 26.16 MB
- **Size of the generated dataset:** 154.74 MB
- **Total amount of disk used:** 180.90 MB
An example of 'validation' looks as follows.
```
This example was too long and was cropped:
{
"phase": 1,
"question": "How would you answer a second test question?",
"sql": {
"agg": 0,
"conds": {
"column_index": [2],
"condition": ["Some Entity"],
"operator_index": [0]
},
"human_readable": "SELECT Header1 FROM table WHERE Another Header = Some Entity",
"sel": 0
},
"table": "{\"caption\": \"L\", \"header\": [\"Header1\", \"Header 2\", \"Another Header\"], \"id\": \"1-10015132-9\", \"name\": \"table_10015132_11\", \"page_i..."
}
```
### Data Fields
The data fields are the same among all splits.
#### default
- `phase`: a `int32` feature.
- `question`: a `string` feature.
- `header`: a `list` of `string` features.
- `page_title`: a `string` feature.
- `page_id`: a `string` feature.
- `types`: a `list` of `string` features.
- `id`: a `string` feature.
- `section_title`: a `string` feature.
- `caption`: a `string` feature.
- `rows`: a dictionary feature containing:
- `feature`: a `string` feature.
- `name`: a `string` feature.
- `human_readable`: a `string` feature.
- `sel`: a `int32` feature.
- `agg`: a `int32` feature.
- `conds`: a dictionary feature containing:
- `column_index`: a `int32` feature.
- `operator_index`: a `int32` feature.
- `condition`: a `string` feature.
### Data Splits
| name |train|validation|test |
|-------|----:|---------:|----:|
|default|56355| 8421|15878|
## Dataset Creation
### Curation Rationale
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
#### Who are the source language producers?
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Annotations
#### Annotation process
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
#### Who are the annotators?
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Personal and Sensitive Information
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Discussion of Biases
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Other Known Limitations
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## Additional Information
### Dataset Curators
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Licensing Information
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Citation Information
```
@article{zhongSeq2SQL2017,
author = {Victor Zhong and
Caiming Xiong and
Richard Socher},
title = {Seq2SQL: Generating Structured Queries from Natural Language using
Reinforcement Learning},
journal = {CoRR},
volume = {abs/1709.00103},
year = {2017}
}
```
### Contributions
Thanks to [@lewtun](https://github.com/lewtun), [@ghomasHudson](https://github.com/ghomasHudson), [@thomwolf](https://github.com/thomwolf) for adding this dataset.