AgenticDataBench
Benchmark for data-science agents: 344 tasks over 97 real datasets in 15 domains, with 433 fine-grained skill labels for skill-level scoring.
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Description
From Tsinghua University and Ant Digital Technologies (arXiv 2607.01647). Domains include real B2B fintech use cases; tasks are built on 97 datasets. 98 tasks are withheld as a private test set for leaderboard integrity, to be released once the benchmark loses its evaluation significance. v1.1 released 2026-10-12. Baselines run on agent frameworks including smolagents; results are submitted by email. Code Apache-2.0; datasets Apache-2.0 on Hugging Face (shawnzzzh/AgenticDataBench).
Sources
- https://agenticdatabench.github.io/
- https://github.com/AgenticDataBench/AgenticDataBench
- https://huggingface.co/datasets/shawnzzzh/AgenticDataBench
- https://arxiv.org/abs/2607.01647
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- Source file on GitHub (edit via pull request)