NJU-LINK/DR3-Eval
DR3-Eval: Towards Realistic and ReproducibleDeep Research Evaluation ✨ Overview DR³-Eval is a realistic, reproducible, and multimodal evaluation benchmark for Deep Research Agents, focusing on multi-file report generation tasks. Existing benchmarks face a fundamental tension between realism, controllability, and reproducibility when evaluating deep research agents. DR³-Eval addresses this through the… See the full description on the dataset page: https://huggingface.co/datasets/NJU-LINK/DR3-Eval.
| Author / organization | NJU-LINK |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 8.3K (as reported by Hugging Face) |
| Likes | 2 |
| Created | 11 March 2026 |
| Last updated at source | 20 April 2026 |
Popularity, last 4 days
8,344 now (+478 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
Recent changes
- 16 Oct 2026 Description: DR3-Eval: Towards Realistic and ReproducibleDeep Research Evaluation ✨ Overview DR³-Eval is a realistic, reproducible, and multimodal evaluation benchmark for Deep Research Agents, focusing on multi-file report generation tasks. Existing be → DR3-Eval: Towards Realistic and ReproducibleDeep Research Evaluation ✨ Overview DR³-Eval is a realistic, reproducible, and multimodal evaluation benchmark for Deep Research Agents, focusing on multi-file report generation tasks. Existing be
Changes detected by Silytics between refreshes of the source.
Related papers
More from NJU-LINK
- NJU-LINK/CodeTraceBenchDataset
- NJU-LINK/OmniVideoBenchDataset
- NJU-LINK/AVSCapBenchDataset
- NJU-LINK/WebCompassDataset
- NJU-LINK/OmniCap-IF-54KDataset
- NJU-LINK/CoVEBenchDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.