juierror/text-to-sql-with-table-schema
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Updated
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17.2k
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Datasets:
Tasks:
Text2Text Generation
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Annotations Creators:
crowdsourced
Source Datasets:
original
ArXiv:
Tags:
text-to-sql
License:
unknown
Dataset Preview
Go to dataset viewer
The dataset preview is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: NotImplementedError
Message: Extraction protocol for TAR archives like 'https://github.com/salesforce/WikiSQL/raw/master/data.tar.bz2' is not implemented in streaming mode. Please use `dl_manager.iter_archive` instead.
Example usage:
url = dl_manager.download(url)
tar_archive_iterator = dl_manager.iter_archive(url)
for filename, file in tar_archive_iterator:
...
Traceback: Traceback (most recent call last):
File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 485, in compute_first_rows_response
rows = get_rows(
File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 120, in decorator
return func(*args, **kwargs)
File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 164, in get_rows
ds = load_dataset(
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/load.py", line 1751, in load_dataset
return builder_instance.as_streaming_dataset(split=split)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1206, in as_streaming_dataset
splits_generators = {sg.name: sg for sg in self._split_generators(dl_manager)}
File "/tmp/modules-cache/datasets_modules/datasets/wikisql/7037bfe6a42b1ca2b6ac3ccacba5253b1825d31379e9cc626fc79a620977252d/wikisql.py", line 81, in _split_generators
dl_dir = dl_manager.download_and_extract(_DATA_URL)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 1074, in download_and_extract
return self.extract(self.download(url_or_urls))
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 1026, in extract
urlpaths = map_nested(self._extract, url_or_urls, map_tuple=True)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 436, in map_nested
return function(data_struct)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 1036, in _extract
raise NotImplementedError(
NotImplementedError: Extraction protocol for TAR archives like 'https://github.com/salesforce/WikiSQL/raw/master/data.tar.bz2' is not implemented in streaming mode. Please use `dl_manager.iter_archive` instead.
Example usage:
url = dl_manager.download(url)
tar_archive_iterator = dl_manager.iter_archive(url)
for filename, file in tar_archive_iterator:
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Dataset Card for "wikisql"
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: 24.95 MB
- Size of the generated dataset: 147.57 MB
- Total amount of disk used: 172.52 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: aint32feature.question: astringfeature.header: alistofstringfeatures.page_title: astringfeature.page_id: astringfeature.types: alistofstringfeatures.id: astringfeature.section_title: astringfeature.caption: astringfeature.rows: a dictionary feature containing:feature: astringfeature.
name: astringfeature.human_readable: astringfeature.sel: aint32feature.agg: aint32feature.conds: a dictionary feature containing:column_index: aint32feature.operator_index: aint32feature.condition: astringfeature.
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.
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Repository:
github.com
Paper:
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
Size of downloaded dataset files:
24.95 MB
Size of the generated dataset:
147.57 MB
Total amount of disk used:
172.52 MB
