trais-lab/DCA-Bench
DCA-Benchmark DCA-Benchmark aims to provide a comprehensive benchmark for evaluating LLM agents' capabilities in discovering data quality issues across online dataset platforms, representing the first step of the curation pipeline. Throughout this document, we will refer to such an LLM agent as a "Curator" to highlight its role in this task. A well-performing Curator can detect and locate existing issues, which is critical for subsequent fixes by human maintainers or other… See the full description on the dataset page: https://huggingface.co/datasets/trais-lab/DCA-Bench.
| Author / organization | trais-lab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 545 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 31 May 2025 |
| Last updated at source | 31 May 2025 |
Popularity, last 2 days
545 now (+9 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: DCA-Benchmark DCA-Benchmark aims to provide a comprehensive benchmark for evaluating LLM agents' capabilities in discovering data quality issues across online dataset platforms, representing the first step of the curation pipeline. Througho → DCA-Benchmark DCA-Benchmark aims to provide a comprehensive benchmark for evaluating LLM agents' capabilities in discovering data quality issues across online dataset platforms, representing the first step of the curation pipeline. Througho
Changes detected by Silytics between refreshes of the source.
More from trais-lab
- trais-lab/dattri-benchmarkDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.