Datasets:
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
video-understanding
multi-evidence-reasoning
long-video
temporal-reasoning
spatial-reasoning
video-qa
License:
Update dataset card with accurate statistics and links
Browse files- Update title to match paper
- Update arXiv citation to 2512.14870
- Update project page to gabrieleserussi.github.io/HERBench/
- Add accurate statistics for Full (27,936 questions, 335 videos, 424s avg) and Lite (5,960 questions, 68 videos, 421s avg)
- Add MRFS Analysis section with comparison chart
- Remove coming soon placeholders from links
- README.md +27 -12
- assets/mrfs_res.jpg +3 -0
README.md
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@@ -27,15 +27,15 @@ configs:
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path: data/herbench_lite.parquet
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---
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# HERBench: Multi-Evidence Integration in Video Question Answering
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<div align="center">
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<img src="assets/HERBench_logo.png" alt="HERBench Logo" width="400"/>
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[](https://github.com/DanBenAmi/HERBench)
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[](https://
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[](https://creativecommons.org/licenses/by-nc-sa/4.0/)
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[](https://huggingface.co/datasets/DanBenAmi/HERBench)
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| Metric | Full Version | Lite Version |
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|--------|--------------|--------------|
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| π **Total Questions** | 27,936 five-way multiple-choice |
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| π¬ **Videos** | 335 unique videos |
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| β±οΈ **Avg. Video Length** |
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| π **Mean MRFS (Minimum Required Frame-Set)** | ~5.5 ||
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| π **Total Size** | ~161 GB | ~35 GB |
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### Why HERBench?
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- Recommended for: Final paper results, thorough model evaluation, benchmarking
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#### Lite Version (~35 GB) π
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- Same task distribution and difficulty as full version
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- Videos sampled to maintain diversity across all 12 tasks
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- Recommended for: Quick prototyping, limited storage, initial experiments, development
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---
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## π― Dataset Features
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### High Evidential Requirement (ER)
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@article{herbench2025,
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title={HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering},
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author={Ben-Ami, Dan and Serussi, Gabriele and Cohen, Kobi and Baskin, Chaim},
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journal={arXiv preprint arXiv:
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year={2025}
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}
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```
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## π Links
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- π **Paper**: https://arxiv.org/abs/
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- π» **Code**: https://github.com/DanBenAmi/HERBench
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- π **Project Page**: https://
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- π€ **Dataset**: https://huggingface.co/datasets/DanBenAmi/HERBench
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- π **Leaderboard**: *(coming soon)*
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---
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path: data/herbench_lite.parquet
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---
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# HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering
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<div align="center">
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<img src="assets/HERBench_logo.png" alt="HERBench Logo" width="400"/>
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[](https://arxiv.org/abs/2512.14870)
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[](https://github.com/DanBenAmi/HERBench)
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[](https://gabrieleserussi.github.io/HERBench/)
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[](https://creativecommons.org/licenses/by-nc-sa/4.0/)
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[](https://huggingface.co/datasets/DanBenAmi/HERBench)
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| Metric | Full Version | Lite Version |
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|--------|--------------|--------------|
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| π **Total Questions** | 27,936 five-way multiple-choice | 5,960 questions (21.3%) |
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| π¬ **Videos** | 335 unique videos | 68 unique videos (20.3%) |
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| β±οΈ **Avg. Video Length** | 424 seconds | 421 seconds |
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| π **Total Size** | ~161 GB | ~35 GB |
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### Why HERBench?
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- Recommended for: Final paper results, thorough model evaluation, benchmarking
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#### Lite Version (~35 GB) π
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- **5,960 questions** across **68 videos** (21.3% subset)
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- Same task distribution and difficulty as full version
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- Videos sampled to maintain diversity across all 12 tasks
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- Recommended for: Quick prototyping, limited storage, initial experiments, development
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---
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## π MRFS Analysis
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HERBench requires significantly more evidence integration than existing benchmarks, as measured by the **Minimum Required Frame-Set (MRFS)** metric:
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<div align="center">
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<img src="assets/mrfs_res.jpg" alt="MRFS Comparison" width="600"/>
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</div>
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**Key Insights:**
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- **HERBench has the highest MRFS (5.49)** among video QA benchmarks, requiring integration of ~5.5 frames on average
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- **4Γ larger than existing benchmarks** with lower text-only accuracy (less language bias)
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- **Higher evidential requirement**: Questions cannot be answered from single frames or limited context
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- Demonstrates the need for true multi-evidence reasoning in video understanding
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---
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## π― Dataset Features
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### High Evidential Requirement (ER)
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@article{herbench2025,
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title={HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering},
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author={Ben-Ami, Dan and Serussi, Gabriele and Cohen, Kobi and Baskin, Chaim},
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journal={arXiv preprint arXiv:2512.14870},
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year={2025}
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}
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```
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## π Links
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- π **Paper**: https://arxiv.org/abs/2512.14870
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- π» **Code**: https://github.com/DanBenAmi/HERBench
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- π **Project Page**: https://gabrieleserussi.github.io/HERBench/
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- π€ **Dataset**: https://huggingface.co/datasets/DanBenAmi/HERBench
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---
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assets/mrfs_res.jpg
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Git LFS Details
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