Conversational Text-to-SQL Systems (CoSQL) Dataset
Created by Yu et al. at 2019, the Conversational Text-to-SQL Systems (CoSQL) Dataset consists of 30k+ turns plus 10k+ annotated SQL queries, obtained from a Wizard-of-Oz collection of 3k dialogues querying 200 complex databases spanning 138 domains.It is the dilaogue version of the Spider and SParC tasks., in English language. Containing 3 in JSON, SQL file format.
Dataset Sources
Here you can download the Conversational Text-to-SQL Systems (CoSQL) dataset in JSON, SQL format.
Download Conversational Text-to-SQL Systems (CoSQL) dataset JSON, SQL files
Fine-tune with Conversational Text-to-SQL Systems (CoSQL) dataset
Metatext is a powerful no-code tool for train, tune and integrate custom NLP models
Paper
Read full original Conversational Text-to-SQL Systems (CoSQL) paper.
Classify and extract text 10x better and faster 🦾
Metatext helps you to classify and extract information from text and documents with customized language models with your data and expertise.