README.md

---

---

Dataset Card for "wikisql"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits Sample Size
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • 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
  • Contributions

Dataset Description

• Homepage: https://github.com/salesforce/WikiSQL
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 24.95 MB
• Size of the generated dataset: 147.57 MB
• Total amount of disk used: 172.52 MB

Dataset Summary

A large crowd-sourced dataset for developing natural language interfaces for relational databases

Supported Tasks

More Information Needed

Languages

More Information Needed

Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

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: 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 Sample Size

name	train	validation	test
default	56355	8421	15878

Dataset Creation

Curation Rationale

More Information Needed

Source Data

More Information Needed

Annotations

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

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.