README.md

---
dataset_info:
  features:
  - name: answer
    dtype: string
  - name: question
    dtype: string
  - name: context
    dtype: string
  splits:
  - name: train
    num_bytes: 90244824.04555836
    num_examples: 118695
  - name: test
    num_bytes: 11154652.165005254
    num_examples: 14835
  - name: validation
    num_bytes: 11267107.641870596
    num_examples: 14838
  download_size: 24508769
  dataset_size: 112666583.85243422
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: validation
    path: data/validation-*
task_categories:
- question-answering
- zero-shot-classification
- text2text-generation
language:
- en
size_categories:
- 100K<n<1M
---

#### Overview
This dataset is build from [b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context), [Clinton/Text-to-sql-v1](https://huggingface.co/datasets/Clinton/Text-to-sql-v1) and [knowrohit07/know_sql](https://huggingface.co/datasets/knowrohit07/know_sql).

A total of 148368 examples consist of natural language queries, SQL CREATE TABLE statements, and SQL Query answering the question using the CREATE statement as context.

#### Next Step
- Further augment the data by converting queries and CREATE TABLE statements into different SQL dialects.
- Support other informative contexts beyond CREATE TABLE.