Sign inGet started
Dataset · Hugging Face

RUC-DataLab/CoDA-Bench

CoDA-Bench: Can Code Agents Handle Data-Intensive Tasks? Authors: Yuxin Zhang, Ju Fan, Meihao Fan, Shaolei Zhang*, Xiaoyong Du CoDA-Bench (Code and Data-intensive Benchmark) is the first benchmark to jointly evaluate code intelligence and data intelligence of AI agents in realistic data-intensive environments. Unlike existing benchmarks that provide oracle data directly, CoDA-Bench requires agents to: 🔍 Discover relevant data among hundreds of semantically similar files… See the full description on the dataset page: https://huggingface.co/datasets/RUC-DataLab/CoDA-Bench.

Author / organizationRUC-DataLab
License (as declared)mit
Downloads699 (as reported by Hugging Face)
Likes3
Created29 May 2026
Last updated at source29 September 2026
codedata-analysisjupyterkagglebenchmarkagent-evaluationdata-science
Embed this entry
<iframe src="https://silytics.si/embed/item/8692b682-2e2b-4345-bbd3-f501ad4a3661" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from RUC-DataLab

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.