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T5-small finedtuned to generate txtai SQL

T5 small fine-tuned to generate txtai SQL. This model takes natural language queries and builds txtai-compatible SQL statements.

txtai supports both natural language queries

Tell me a feel good story
Show me stories about wildlife
Sports stories about hockey

and SQL statements

select * from txtai where similar("Tell me a feel good story") and
entry >= date('now', '-1 day')

This model bridges the gap between the two and enables natural language queries with filters.

Tell me a feel good story since yesterday
Show me sports stories since yesterday with team equal Red Sox
Breaking news summarized
Breaking news translated to fr

Custom query syntax

This model is an example of creating a custom query syntax that can be translated into SQL txtai can understand. Any query syntax can be created. This one supports English but a similar strategy can be deployed to support other languages. Natural language can be translated to functions, query clauses, column selection and more.

See t5-small-bashsql for a model that translates Bash like commands into txtai SQL.

Model training

This model was trained using scripts that can be found here.

Steps to train:

python generate.py txtsql.csv
python train.py txtsql.csv t5-small-txtsql
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This model can be loaded on the Inference API on-demand.

Space using NeuML/t5-small-txtsql