Datasets:
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
video-understanding
multi-evidence-reasoning
long-video
temporal-reasoning
spatial-reasoning
video-qa
License:
Add Lite-v2 (manually refined) config + README note; CVPR 2026 acceptance
Browse files- README.md +28 -6
- data/herbench_annotations_lite_v2.json +3 -0
- data/herbench_lite_v2.parquet +3 -0
README.md
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data_files:
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- split: test
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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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[](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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*A challenging benchmark for evaluating multi-evidence integration capabilities of vision-language models*
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</div>
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---
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## π Dataset Summary
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### Key Statistics
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| Metric | Full Version | Lite Version |
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|--------|--------------|--------------|
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| π **Total Questions** | 27,631 five-way multiple-choice | 2,000 questions (7.2%) |
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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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# Download LITE version only (2,000 questions, ~35 GB videos)
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huggingface-cli download DanBenAmi/HERBench \
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--include "data/herbench_lite.parquet" \
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--include "data/*metadata.json" \
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--include "videos/videos.tar.part.00" \
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--include "videos/videos.tar.part.01" \
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# Load LITE version - 2,000 questions (7.2% sample)
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dataset_lite = load_dataset("DanBenAmi/HERBench", "lite")
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print(f"Lite questions: {len(dataset_lite['test'])}")
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```
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**Schema:** Each example contains:
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data_files:
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- split: test
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path: data/herbench_lite.parquet
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- config_name: lite_v2
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data_files:
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- split: test
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path: data/herbench_lite_v2.parquet
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---
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# HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering
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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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[](https://cvpr.thecvf.com/)
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*A challenging benchmark for evaluating multi-evidence integration capabilities of vision-language models*
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**π HERBench has been accepted to CVPR 2026!**
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</div>
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> **π New: Lite-v2 config.** We released a refreshed **`lite_v2`** version of the
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> Lite split (1,971 questions / 68 videos) in which 9 of the 12 tasks were
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> regenerated and went through **additional manual refinement** for higher
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> quality, while TSO, SVA, and RLPC are carried over unchanged from `lite`.
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> Load it with `load_dataset("DanBenAmi/HERBench", "lite_v2")`. The original
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> `lite` config remains available unchanged.
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---
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## π Dataset Summary
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### Key Statistics
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| Metric | Full Version | Lite Version | Lite-v2 (refined) |
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|--------|--------------|--------------|-------------------|
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| π **Total Questions** | 27,631 five-way multiple-choice | 2,000 questions (7.2%) | 1,971 questions |
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| π¬ **Videos** | 335 unique videos | 68 unique videos (20.3%) | 68 unique videos |
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| β±οΈ **Avg. Video Length** | 424 seconds | 421 seconds | 421 seconds |
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| π **Total Size** | ~161 GB | ~35 GB | ~35 GB (same videos) |
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> **Lite-v2** uses the same 68 videos as Lite. 9 of the 12 tasks were regenerated
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> with additional manual refinement; TSO, SVA, and RLPC are identical to Lite.
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### Why HERBench?
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# Download LITE version only (2,000 questions, ~35 GB videos)
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huggingface-cli download DanBenAmi/HERBench \
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--include "data/herbench_lite.parquet" \
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--include "data/herbench_lite_v2.parquet" \
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--include "data/*metadata.json" \
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--include "videos/videos.tar.part.00" \
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--include "videos/videos.tar.part.01" \
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# Load LITE version - 2,000 questions (7.2% sample)
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dataset_lite = load_dataset("DanBenAmi/HERBench", "lite")
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print(f"Lite questions: {len(dataset_lite['test'])}")
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# Load LITE-v2 (refined) - 1,971 questions, same 68 videos
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dataset_lite_v2 = load_dataset("DanBenAmi/HERBench", "lite_v2")
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print(f"Lite-v2 questions: {len(dataset_lite_v2['test'])}")
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```
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**Schema:** Each example contains:
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data/herbench_annotations_lite_v2.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:247eeca9f76cf1745a5d853a111463f0bb1af4f64fa1d945df6c40c15abd88a1
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size 2595653
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data/herbench_lite_v2.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:23a7dc1d6baafc75ac9065cf13591e6dc1c7ef92f044bb9d2f00067b8f861c8c
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size 462396
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