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A large crowd-sourced dataset for developing natural language interfaces for relational databases. WikiSQL is the dataset released along with our work Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. Regarding tokenization and Stanza, when WikiSQL was written 3-years ago, it relied on Stanza, a CoreNLP python wrapper that has since been deprecated. If you'd still like to use the tokenizer, please use the docker image. We do not anticipate switching to the current Stanza as changes to the tokenizer would render the previous results not reproducible.
Features
- Both the evaluation script as well as the dataset are stored within the repo
- Only Python 3 is supported at the moment
- Inside the data folder you will find the files in jsonl and db format
- We supply a sample predictions file for the dev set
- In addition to the raw data dump, we also release an optional annotation script that annotates WikiSQL
- Develop natural language interfaces for relational databases
Project Samples
Categories
HTML/XHTML, Database, Reinforcement Learning Frameworks, Reinforcement Learning Libraries, Reinforcement Learning AlgorithmsLicense
BSD LicenseFollow WikiSQL
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