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Datasets:
DBD123
/
MedHorizon

Tasks:
Visual Question Answering
Video Classification
Modalities:
Tabular
Text
Video
Formats:
json
Languages:
English
Size:
< 1K
Tags:
medical-video
long-video-understanding
multimodal-benchmark
endoscopy
ultrasound
surgery
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
DBD123 mlvbench-review commited on
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Duplicate from mlvbench-review/MedHorizon

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Co-authored-by: anonymous <mlvbench-review@users.noreply.huggingface.co>

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  1. .gitattributes +11 -0
  2. README.md +59 -0
  3. autolaparo/01.mp4 +3 -0
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+ *.mp4 filter=lfs diff=lfs merge=lfs -text
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+ *.avi filter=lfs diff=lfs merge=lfs -text
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+ *.mov filter=lfs diff=lfs merge=lfs -text
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+ ---
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+ license: cc-by-nc-4.0
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+ language:
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+ - en
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+ pretty_name: MedHorizon
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+ task_categories:
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+ - visual-question-answering
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+ - video-classification
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+ tags:
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+ - medical-video
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+ - long-video-understanding
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+ - multimodal-benchmark
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+ - endoscopy
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+ - ultrasound
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+ - surgery
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+ size_categories:
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+ - 1K<n<10K
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: test
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+ path: medhorizon_test.jsonl
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+ ---
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+
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+ # MedHorizon
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+
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+ MedHorizon is a long-context medical video benchmark for evaluating multimodal models on full-procedure clinical videos. The benchmark emphasizes two properties that are not captured by short-clip medical video datasets: extremely sparse evidence retrieval and multi-hop reasoning over observations distributed across a full procedure.
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+
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+ ## Dataset Contents
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+
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+ - **Videos:** 340 full-procedure videos.
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+ - **Questions:** 1,253 multiple-choice QA pairs.
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+ - **Evaluation split:** `test`.
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+ - **Video hours:** 759 hours in total.
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+ - **Modalities and scenarios:** endoscopy, surgical videos, and ultrasound studies.
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+
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+ The main annotation file is `medhorizon_test.jsonl`. Each record corresponds to one video and contains metadata plus a list of QA items under `qa`. The `video_path` field is relative to this repository, for example `real_colon/002-010.mp4` or `us_study/01-lus.mp4`.
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+
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+ For compatibility with internal evaluation scripts, `medhorizon_testbench.jsonl` contains the same records as `medhorizon_test.jsonl`, and `medhorizon_test_swift.jsonl` provides a Swift-friendly flattened view.
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+
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+ ## Fields
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+
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+ - `key`: video identifier.
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+ - `dataset`: source subset name.
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+ - `organ`: organ or anatomical target category.
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+ - `scene_type`: clinical scene type.
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+ - `duration_tier`: duration bucket.
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+ - `video_path`: relative path to the video file in this repository.
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+ - `num_frames`, `fps`, `duration_seconds`: video metadata.
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+ - `qa`: list of multiple-choice QA items with `question`, `options`, `answer`, `task_id`, `task_name`, and category metadata.
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+ - `split`: always `test` for the released benchmark.
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+
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+ ## Splits
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+
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+ This release is evaluation-only and intentionally provides a **test** split rather than a train split. The benchmark is intended for standardized model evaluation and leaderboard reporting.
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+
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+ ## Citation
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+
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+ A paper citation will be added after the preprint is available.
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+ # MedHorizon - autolaparo
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+
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+ This directory contains videos for the `autolaparo` subset used by MedHorizon.
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+ {
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