What it measures

Enterprise text-to-SQL and agentic database querying benchmarks over Snowflake, BigQuery, Postgres, and multi-thousand-column schemas.

Reading the measurement

Look beyond a plausible code sample to the executable artifact. Tests, repository context, language coverage and time limits shape the result. Separate first-attempt correctness from success after debugging, retries or agent assistance.

Published evaluation

Spider 2.0-Snow; Spider 2.0 · Snow. Results retain their published native scale and task setting.

Where this fits in an evaluation suite

The agent wrapper is part of the system. Pin tools, dependencies, timeouts, tests, and the repository revision. Compare contest coding separately from repository maintenance.

Start with a capability hypothesis, then choose a second test with a different failure mode. Keep the checkpoint, reasoning effort, agent tools, sampling policy, and scoring procedure fixed when measuring a training intervention. Record failures and missing outputs in the denominator.

A reproducible comparison

Spider 2.0-Snow; Spider 2.0 · Snow. Results retain their published native scale and task setting.

Publish the exact run configuration, item coverage, score units, and available uncertainty. If a source supplies only an aggregate or a single run, preserve that limit. A new model name or a rounded score alone does not establish a capability improvement.

PRIMARY EVIDENCE & FURTHER READING

  1. Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows — published result table ↗

    Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su et al. · 2024

    All 16 authors

    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

  2. Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs — published result table ↗

    Li, Jinyang, Hui, Binyuan, Qu, Ge, Yang, Jiaxi, Li, Binhua, Li, Bowen et al. · 2023

    All 18 authors

    Li, Jinyang, Hui, Binyuan, Qu, Ge, Yang, Jiaxi, Li, Binhua, Li, Bowen, Wang, Bailin, Qin, Bowen, Cao, Rongyu, Geng, Ruiying, Huo, Nan, Zhou, Xuanhe, Ma, Chenhao, Li, Guoliang, Chang, Kevin C. C., Huang, Fei, Cheng, Reynold, Li, Yongbin

Reviewed 2026-10-26. Explanation and interpretation by RLTasks. Benchmark ownership remains with its original authors.