✳flâneur — a map of the web's best reading
BIRD-bench
bird-bench.github.io · 5,996 words · saved by 1 readers
BIRD-bench
BIRD-bench --> About BIRD --> BIRD ( BI g Bench for La R ge-scale D atabase Grounded Text-to-SQL Evaluation) represents a pioneering, cross-domain dataset that examines the impact of extensive database contents on text-to-SQL parsing. 1) the necessity to incorporate external knowledge into parsers; 2) the need for parsers to reason over 'dirty' values; and 3) the requirment to consider efficiency while executing SQLs. --> BIRD contains over 12,751 unique question-SQL pairs, 95 big databases with a total size of 33.4 GB . It also covers more than 37 professional domains, such as blockchain, hoc
Explore this link on the map →related reading
- Spider: Yale Semantic Parsing and Text-to-SQL Challengeyale-lily.github.io
- Cookbookcookbook.openai.com
- AI Model & API Providers Analysis | Artificial Analysisartificialanalysis.ai
- Against SQLscattered-thoughts.net
- GitHub - brexhq/prompt-engineering: Tips and tricks for working with Large Language Models like OpenAI's GPT-4. · GitHubgithub.com
- Databases in 2024: A Year in Review // Blog // Andy Pavlo - Carnegie Mellon Universitycs.cmu.edu
- There's An AI For That® — The front page of AItheresanaiforthat.com
- Cursor · CursorBenchcursor.com
- PostTrainBenchposttrainbench.com
- LLMs shouldn’t write SQL - by Benn Stancil - benn.substackbenn.substack.com
- Outerbase | The interface for your databaseouterbase.com
- The key technologies behind SQL Comprehension | dbt Developer Blogdocs.getdbt.com