Datasets:
Tasks:
Text2Text Generation
Modalities:
Text
Formats:
json
Languages:
English
Size:
1K - 10K
Tags:
schema-summarization
Update README.md
Browse files
README.md
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@@ -39,3 +39,9 @@ First we go through every words in the orginal SQL query and see if it matches a
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In order to leverage the '*' wildcard we automatically include the primary key of each table that is within the original SQL query
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### Source Data
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As explained above the natural question and SQL queries that answers this question are extracted from the `xlangai/spider` dataset and the databases schemas are extracted from the `richardr1126/spider-schema` dataset.
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In order to leverage the '*' wildcard we automatically include the primary key of each table that is within the original SQL query
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### Source Data
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As explained above the natural question and SQL queries that answers this question are extracted from the `xlangai/spider` dataset and the databases schemas are extracted from the `richardr1126/spider-schema` dataset.
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## TODO
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- [ ] Fix rows with empty summarized-schema
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- [ ] Fix overwhelmingly long summarized-schema. Sometimes the needed columns has the same name in diferent tables. We need to only include it once (Maybe ?)
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- [ ] Prompt egineer `Llama3.1:70b` with a 1-shot example to generate better summarized-schema
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- [ ] Find a way to add data from WikiSQL
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