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Initial dataset upload

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  1. README.md +54 -0
  2. annotations.csv +101 -0
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README.md ADDED
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+ ---
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+ license: cc-by-nc-sa-3.0
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+ task_categories:
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+ - image-to-image
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+ tags:
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+ - intuitive-physics
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+ - counterfactual-world-model
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+ - zwm
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+ ---
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+
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+ # ZWM intuitive-physics eval dataset
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+
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+ A short-timescale physical-reasoning benchmark used to evaluate world models
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+ in the [ZWM repo](https://github.com/awwkl/ZWM). It contains tabletop
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+ hand-object interactions across five categories of physical reasoning:
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+
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+ 1. **Object cohesion** — moving part of an object moves the whole object.
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+ 2. **Support (top object moves)** — removing the support drops the supported object.
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+ 3. **Support (bottom object moves)** — moving the bottom of a stack carries the top with it.
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+ 4. **Force transfer** — pushing object A into B makes B move.
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+ 5. **Force separation** — moving A does not affect a spatially separated B.
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+
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+ The benchmark contains 100 image pairs (5 categories × 20 pairs). For each
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+ pair the model predicts a target frame (`frame_03`) conditioned on a context
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+ frame (`frame_02`) plus a small set of revealed patches around a grounding
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+ point. Each pair is evaluated under 8 random mask configurations, yielding
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+ 5 × 20 × 8 = 800 evaluations per model.
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+
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+ **Accuracy** is the proportion of examples for which the model's prediction
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+ is closer to the ground-truth target (`frame_03`) than to the context frame
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+ (`frame_02`), measured in MSE and LPIPS.
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+
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+ ## Layout
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+
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+ ```
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+ annotations.csv # 100 rows: category, video_id, factual_x/y, counterfactual_x/y, keyframes
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+ keyframes/<category>/<video_id>/frame_02.png # 512x512 RGB context frame
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+ keyframes/<category>/<video_id>/frame_03.png # 512x512 RGB target frame
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+ segment_masks/<category>/<video_id>/frame<N>_<primary|secondary|overall>_mask.npy
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+ # (1, 512, 512) binary masks (secondary may be absent)
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+ ```
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+
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+ ## Usage with the ZWM repo
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+
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+ ```
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+ huggingface-cli download awwkl/zwm-intuitive-physics --repo-type dataset --local-dir data/evals/intuitive_physics/
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+ bash scripts/eval/intuitive_physics/eval_intuitive_physics.sh
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+ bash scripts/eval/intuitive_physics/grade_intuitive_physics.sh
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+ ```
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+
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+ ## Source
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+
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+ Derived from the ObjectReasoning benchmark in the counterfactual-benchmark
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+ repo (internal Stanford NeuroAI).
annotations.csv ADDED
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  • Size of remote file: 309 kB
keyframes/2.support_top/017/frame_03.png ADDED

Git LFS Details

  • SHA256: 6a572f4af893522b576c0b50320ba02bdedd38d6f8f805e35ece08fad68a1735
  • Pointer size: 131 Bytes
  • Size of remote file: 306 kB
keyframes/2.support_top/018/frame_01.png ADDED

Git LFS Details

  • SHA256: f7816831dccbe6d28c8b05b4703c8a3191f603e115fbd21a2457411988235d1c
  • Pointer size: 131 Bytes
  • Size of remote file: 292 kB
keyframes/2.support_top/018/frame_02.png ADDED

Git LFS Details

  • SHA256: 5c197d027ec63420b86cc164b9c0699935aee9e4d48bd4d5d5739cccf9fcbc5a
  • Pointer size: 131 Bytes
  • Size of remote file: 303 kB
keyframes/2.support_top/018/frame_03.png ADDED

Git LFS Details

  • SHA256: fc4782bce93e937e7bcbc1a439102cd533a8e0f96e349463783b9f8b9474db36
  • Pointer size: 131 Bytes
  • Size of remote file: 317 kB
keyframes/2.support_top/019/frame_01.png ADDED

Git LFS Details

  • SHA256: 4f3ca17bfe67fe72da82e6b6960f3b351da648d8c9deecffca78e089e8a8dc5b
  • Pointer size: 131 Bytes
  • Size of remote file: 292 kB
keyframes/2.support_top/019/frame_02.png ADDED

Git LFS Details

  • SHA256: c2008f0dc00c2eb7dbf7a5b3226b269f6dbeca7d680d85cafcfc361123059857
  • Pointer size: 131 Bytes
  • Size of remote file: 308 kB
keyframes/2.support_top/019/frame_03.png ADDED

Git LFS Details

  • SHA256: df61743afb844c42a61cdb1565c17fdc785b09164437741f5d44a0ff8a5d3eaf
  • Pointer size: 131 Bytes
  • Size of remote file: 312 kB