Results 8 issues of Alex Kuo

There's a lot of data we want to integrate. But for now, it's mostly limited to queries about race, age, gender, population, and crime of zip codes/cities/counties/states. We should add...

Add middle step to prompt LM to return relevant tables to answer a given natural language query.

Create a dev database + frontend + backend for testing new features/datasets.

Prompt LM to use markdown to indicate code text. Currently, we take text before ';' and after ':' from the LM response to extract the SQL query.

Starting a discussion around datasets people want to see. We currently only have the following tables/columns: crime_by_city - city (TEXT) - violent_crime (DOUBLE_PRECISION) - murder_and_nonnegligent_manslaughter (DOUBLE_PRECISION) - rape (DOUBLE_PRECISION) -...

We envision users progressively building on their queries, instead of asking 1 time questions. For example: 1. User asks "What are the 5 wealthiest cities in CA?" 2. CensusGPT responds...

https://github.com/RUCKBReasoning/RESDSQL ^ This repo has an implementation of this paper: https://arxiv.org/pdf/2302.05965.pdf It details an advanced strategy for generating accurate SQL to answer a natural language query. As far as I...

Currently, the SQL statements for setting up table and enum metadata, for the language model, are written in PostgreSQL. We want to add support for MySQL as well. The functions...