Summary of Spider 2.0: Evaluating Language Models on Real-world Enterprise Text-to-sql Workflows, by Fangyu Lei et al.
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
by Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida Wang, Tao Yu
First submitted to arxiv on: 12 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Databases (cs.DB)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The Spider 2.0 evaluation framework is introduced, comprising 632 real-world text-to-SQL workflow problems derived from enterprise-level database use cases. The databases are sourced from real data applications, often containing over 1,000 columns and stored in local or cloud database systems such as BigQuery and Snowflake. Solving these problems requires understanding and searching through database metadata, dialect documentation, and even project-level codebases. This challenge calls for models to interact with complex SQL workflow environments, process extremely long contexts, perform intricate reasoning, and generate multiple SQL queries with diverse operations, often exceeding 100 lines. Our evaluations indicate that based on o1-preview, our code agent framework successfully solves only 21.3% of the tasks, compared with 91.2% on Spider 1.0 and 73.0% on BIRD. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Spider 2.0 is an evaluation framework for text-to-SQL workflows in real-world enterprise settings. It’s like a big puzzle that needs to be solved using complex SQL queries. The puzzles are based on real-world data applications, with over 1,000 columns each! Solving these puzzles requires understanding how databases work and searching through lots of information. This is different from other text-to-SQL challenges because it’s much harder and requires more advanced skills. |
