albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#2)
829510c
metadata
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 Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Repository: https://github.com/salesforce/WikiSQL
- Paper: Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
- Point of Contact: More Information Needed
- 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
Languages
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
: aint32
feature.question
: astring
feature.header
: alist
ofstring
features.page_title
: astring
feature.page_id
: astring
feature.types
: alist
ofstring
features.id
: astring
feature.section_title
: astring
feature.caption
: astring
feature.rows
: a dictionary feature containing:feature
: astring
feature.
name
: astring
feature.human_readable
: astring
feature.sel
: aint32
feature.agg
: aint32
feature.conds
: a dictionary feature containing:column_index
: aint32
feature.operator_index
: aint32
feature.condition
: astring
feature.
Data Splits
name | train | validation | test |
---|---|---|---|
default | 56355 | 8421 | 15878 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
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, @ghomasHudson, @thomwolf for adding this dataset.