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Replace old benchmark with agent and world-model evaluation galleries

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  1. .gitattributes +1 -64
  2. README.md +13 -40
  3. cosmos3-super-56525-outcomes.json +1 -0
  4. index.html +0 -0
  5. media/cosmos3-super-56525/055c48f3d867e1c9/ground_truth.webm +3 -0
  6. media/cosmos3-super-56525/055c48f3d867e1c9/prediction.webm +3 -0
  7. media/cosmos3-super-56525/09b34a26c82571a5/ground_truth.webm +3 -0
  8. media/cosmos3-super-56525/09b34a26c82571a5/prediction.webm +3 -0
  9. media/cosmos3-super-56525/0a90d037d716f3dd/ground_truth.webm +3 -0
  10. media/cosmos3-super-56525/0a90d037d716f3dd/prediction.webm +3 -0
  11. public/samples/s0006_e3d7715b_r_443/right_t-15.jpg → media/cosmos3-super-56525/161222e9db14bdfa/ground_truth.webm +2 -2
  12. public/samples/s0006_e3d7715b_r_443/right_t-30.jpg → media/cosmos3-super-56525/161222e9db14bdfa/prediction.webm +2 -2
  13. media/cosmos3-super-56525/16672203ef9e9b11/ground_truth.webm +3 -0
  14. media/cosmos3-super-56525/16672203ef9e9b11/prediction.webm +3 -0
  15. media/cosmos3-super-56525/16d079eed98ef92a/ground_truth.webm +3 -0
  16. media/cosmos3-super-56525/16d079eed98ef92a/prediction.webm +3 -0
  17. public/samples/s0006_e3d7715b_r_443/right_t.jpg → media/cosmos3-super-56525/1e4dcde4eef7c676/ground_truth.webm +2 -2
  18. public/samples/s0015_9bd892f2_l_2676/right_t.jpg → media/cosmos3-super-56525/1e4dcde4eef7c676/prediction.webm +2 -2
  19. media/cosmos3-super-56525/28aa17d0727b7d68/ground_truth.webm +3 -0
  20. media/cosmos3-super-56525/28aa17d0727b7d68/prediction.webm +3 -0
  21. media/cosmos3-super-56525/29a609ff7225d763/ground_truth.webm +3 -0
  22. media/cosmos3-super-56525/29a609ff7225d763/prediction.webm +3 -0
  23. media/cosmos3-super-56525/2d7d99c39166582f/ground_truth.webm +3 -0
  24. media/cosmos3-super-56525/2d7d99c39166582f/prediction.webm +3 -0
  25. media/cosmos3-super-56525/34d285a80844cee5/ground_truth.webm +3 -0
  26. media/cosmos3-super-56525/34d285a80844cee5/prediction.webm +3 -0
  27. media/cosmos3-super-56525/373137380f35e21c/ground_truth.webm +3 -0
  28. media/cosmos3-super-56525/373137380f35e21c/prediction.webm +3 -0
  29. media/cosmos3-super-56525/3a27281c89c1c90c/ground_truth.webm +3 -0
  30. media/cosmos3-super-56525/3a27281c89c1c90c/prediction.webm +3 -0
  31. media/cosmos3-super-56525/3a292d88375dc132/ground_truth.webm +3 -0
  32. media/cosmos3-super-56525/3a292d88375dc132/prediction.webm +3 -0
  33. media/cosmos3-super-56525/3e598c0e3398ad7b/ground_truth.webm +3 -0
  34. media/cosmos3-super-56525/3e598c0e3398ad7b/prediction.webm +3 -0
  35. media/cosmos3-super-56525/470ab9f7c8740e13/ground_truth.webm +3 -0
  36. media/cosmos3-super-56525/470ab9f7c8740e13/prediction.webm +3 -0
  37. media/cosmos3-super-56525/4b19605d096bcc38/ground_truth.webm +3 -0
  38. media/cosmos3-super-56525/4b19605d096bcc38/prediction.webm +3 -0
  39. media/cosmos3-super-56525/54f3e533ea482f19/ground_truth.webm +3 -0
  40. media/cosmos3-super-56525/54f3e533ea482f19/prediction.webm +3 -0
  41. media/cosmos3-super-56525/56e79010450986c0/ground_truth.webm +3 -0
  42. media/cosmos3-super-56525/56e79010450986c0/prediction.webm +3 -0
  43. media/cosmos3-super-56525/604d4f56215df917/ground_truth.webm +3 -0
  44. media/cosmos3-super-56525/604d4f56215df917/prediction.webm +3 -0
  45. media/cosmos3-super-56525/617af15d9c23fec0/ground_truth.webm +3 -0
  46. media/cosmos3-super-56525/617af15d9c23fec0/prediction.webm +3 -0
  47. media/cosmos3-super-56525/61bac130fb58b535/ground_truth.webm +3 -0
  48. media/cosmos3-super-56525/61bac130fb58b535/prediction.webm +3 -0
  49. media/cosmos3-super-56525/6204ee4f756869d9/ground_truth.webm +3 -0
  50. media/cosmos3-super-56525/6204ee4f756869d9/prediction.webm +3 -0
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README.md CHANGED
@@ -1,53 +1,26 @@
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  ---
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- title: ABC Grasp Prediction Review
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  emoji: 🤖
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  colorFrom: blue
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  colorTo: green
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  sdk: static
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  app_file: index.html
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  fullWidth: true
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- short_description: Robot pickup predictions, images, and recorded outcomes
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  ---
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- # ABC grasp benchmark — model evaluation
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- Interactive review of 306 robot pickup scenes with camera history, planned gripper motion, frozen model predictions, and recorded benchmark outcomes. The four public worked examples are hidden by default and excluded from the 302-sample score.
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- ## Available models
 
 
 
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- Select a model in the viewer to inspect its predictions, scores, charts, and downloads. Currently available: Astra.
 
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- ## Astra results
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-
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- - Accuracy: 146 / 302 (48.34%)
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- - Brier score: 0.26165
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-
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- ## Accuracy breakdown
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-
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- | Difficulty | Frames before real close | Correct | Accuracy |
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- |---|---|---|---|
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- | At decision | 0–10 | 97 / 206 | 47.09% |
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- | Early | 30–60 | 49 / 96 | 51.04% |
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-
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- | Recorded outcome | Correct | Accuracy |
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- |---|---|---|
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- | Success | 86 / 150 | 57.33% |
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- | Fail | 60 / 152 | 39.47% |
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-
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- These scores exclude the four worked examples. Type labels come from the authorized answer metadata, preserved in scored_predictions.jsonl. Public sample JSON contains planned close timing but no explicit type field. The benchmark README documents the timing definitions.
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-
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- ## Accuracy and calibration
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-
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- Both charts keep the original P(success) on the horizontal axis, preserving the distinction between predicted failure and predicted success. The default view shows fraction of correct classifications, with no calibration diagonal. The second view shows actual success frequency, with a perfect-probability-calibration diagonal. Both use ten-percentage-point bins and include counts for all 302 scored samples, excluding worked examples. Sample filters do not change the charts. Sparse bins should be interpreted cautiously.
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-
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- ## Method and limitations
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-
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- Predictions were manually assessed in Codex using public camera contact sheets and motion summaries. Contact-sheet images were resized to 256 × 192; the full joint trajectories and all remaining history frames were not exhaustively inspected. This viewer exposes the supplied images at their original resolution. The probabilities are subjective and uncalibrated; no learned classifier was trained.
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-
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- Predictions were frozen before the user authorized access to outcome labels. Scoring excludes four public examples, and the prediction file hash is recorded in score_report.json. Outcomes are automatic proxies based on robot motion, not independent human verification. Performance is approximately chance.
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-
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- ## Included data
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-
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- This Space contains the 3,060 public camera images, public per-sample input JSON, frozen predictions and their reasons, the authorized scored comparisons, and the score report. It does not contain the protected answers folder or future-evidence images. Original benchmark materials are ABC grasp-outcome benchmark v1, validation split; dataset builder commit 9def2b8 per the supplied benchmark documentation.
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-
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- The page is static and requires no model inference, server credentials, or external scripts. Select a sample from the sidebar, filter incorrect predictions, switch observation time, or click an image to enlarge it.
 
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  ---
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+ title: ABC Grasp Evaluation
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+ short_description: Agent predictions and world-model grasp rollouts
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  ---
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+ # ABC Grasp Evaluation
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+ Current human-confirmed grasp benchmark: 37 successes and 37 failures.
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+ - **Agents:** initial images and recorded action targets; 70 scored attempts,
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+ excluding four labeled examples. Success threshold: 0.5.
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+ - **World Models:** generated videos alongside recorded videos; 74 attempts.
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+ Generated outcomes are AI-reviewed with user corrections, not all human-confirmed.
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+ These evaluation sets differ by four examples. Fable5p1 Extra disclosed reading
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+ outside its allowed inputs; the gallery marks this protocol deviation.
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+ The static site contains display predictions, recorded outcomes, and videos.
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+ No inference runs here. Private input packets and detailed review records are
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+ not included. This replaces the previous motion-proxy benchmark display.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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