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Perplexity and Midjourney have really cool discord bots for their discord servers, and we need one for CensusGPT. The backend API is implemented already (https://text-sql-be.onrender.com/api/text_to_sql), it takes only one param...

Right now, we support three kinds of geolocation rendering on the Map. 1. Zipcode (zoomed in) 2. Zipcode (zoomed out) 3. Cities (basically circles around the lat/long of city center)...

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) -...

Currently, the project only supports visualizing zipcodes and cities on the map using Mapbox But data can be visualized in many other interesting ways like Bar Charts, Heatmaps and Pie...

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...

* only applicable to maps where zip codes are highlighted (thus far) * could also extend to graphs (e.g. click row -> highlight/select column in bar graph)

Explain SQL query back in natural language. SQL code-gen we have today is powerful because it enables to get accurate answers from a massive dataset (given that the generated SQL...

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...