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--- |
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language: en |
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widget: |
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- text: "translate Bash to SQL: find -name \"feel good story\" -mtime -1" |
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example_title: Last day |
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- text: "translate Bash to SQL: find -name \"show me sports stories\" -mtime -1 -team \"Red Sox\"" |
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example_title: Last day with filter |
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- text: "translate Bash to SQL: find -name \"breaking news\" -summary" |
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example_title: Summary |
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- text: "translate Bash to SQL: find -name \"breaking news\" -translate fr" |
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example_title: Translate to French |
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inference: |
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parameters: |
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max_length: 512 |
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license: apache-2.0 |
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library_name: txtai |
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--- |
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# T5-small finedtuned to generate txtai SQL |
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[T5 small](https://huggingface.co/t5-small) fine-tuned to generate [txtai](https://github.com/neuml/txtai) SQL. This model takes [Bash](https://en.wikipedia.org/wiki/Bash_(Unix_shell)) like commands and builds txtai-compatible SQL statements. |
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``` |
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find -name "feel good story" -mtime -1 |
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find -name "show me sports stories" -mtime -1 -team \"Red Sox\" |
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find -name "breaking news" -summary |
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find -name "breaking news" -translate fr |
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``` |
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## Custom query syntax |
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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 Bash-like commands but a similar strategy can be deployed to support other languages. Natural language can be translated to functions, query clauses, column selection and more. |
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See [t5-small-txtsql](https://huggingface.co/NeuML/t5-small-txtsql) for a model that translates natural language statements into txtai SQL. |
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## Model training |
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This model was trained using scripts that can be [found here](https://github.com/neuml/txtai/tree/master/models/bashsql). |
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Steps to train: |
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```bash |
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python generate.py bashsql.csv |
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python train.py bashsql.csv t5-small-bashsql |
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``` |
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