metadata
task_categories:
- text2text-generation
language:
- en
size_categories:
- 1K<n<10K
tags:
- schema-summarization
modalities:
- Text
Dataset Card for schema-summarization_spider
Dataset Description
Dataset Summary
This dataset has been built to train and benchmark models uppon the schema-summarization task. This task aims to generate the smallest schema needed to answer a NL question with the help of the original database schema. This dataset has been build by crossing these two datasets :
xlangai/spider
richardr1126/spider-schema
With the first dataset we take the natural language question and the SQL query. With the second dataset we take the associated schema of the databse id used to answer the question. We then generate the summarized-schema with the help of the SQL query
Languages
As the xlangai/spider
and richardr1126/spider-schema
are only labelled in english, this dataset is also labelled in english
Dataset Structure
Data Fields
- db_id : The Database name
- question : The natural language question
- schema : The full schema
- summarized-schema : A subset of the full schema to answer the question