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LIBERO-Pro2.0-Train

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Robotics
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Tags:
libero
libero-pro2
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imitation-learning
vision-language-action
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5

Fix browser playback for all review videos

#2
by zhouxueyang - opened
base: refs/heads/main
←
from: refs/pr/2
Discussion Files changed
+33797
-26995
This view is limited to 50 files because it contains too many changes. See the raw diff here.
Files changed (50) hide show
  1. README.md +10 -4
  2. data/libero_10/task_0/BASE/review_videos/success_000.mp4 +2 -2
  3. data/libero_10/task_0/BASE/review_videos/success_001.mp4 +2 -2
  4. data/libero_10/task_0/BASE/review_videos/success_002.mp4 +2 -2
  5. data/libero_10/task_0/BASE/review_videos/success_003.mp4 +2 -2
  6. data/libero_10/task_0/BASE/review_videos/success_004.mp4 +2 -2
  7. data/libero_10/task_0/D01/review_videos/success_000.mp4 +2 -2
  8. data/libero_10/task_0/D01/review_videos/success_001.mp4 +2 -2
  9. data/libero_10/task_0/D01/review_videos/success_002.mp4 +2 -2
  10. data/libero_10/task_0/D01/review_videos/success_003.mp4 +2 -2
  11. data/libero_10/task_0/D01/review_videos/success_004.mp4 +2 -2
  12. data/libero_10/task_0/D02/review_videos/success_000.mp4 +2 -2
  13. data/libero_10/task_0/D02/review_videos/success_001.mp4 +2 -2
  14. data/libero_10/task_0/D02/review_videos/success_002.mp4 +2 -2
  15. data/libero_10/task_0/D02/review_videos/success_003.mp4 +2 -2
  16. data/libero_10/task_0/D02/review_videos/success_004.mp4 +2 -2
  17. data/libero_10/task_0/D03/review_videos/success_000.mp4 +2 -2
  18. data/libero_10/task_0/D03/review_videos/success_001.mp4 +2 -2
  19. data/libero_10/task_0/D03/review_videos/success_002.mp4 +2 -2
  20. data/libero_10/task_0/D03/review_videos/success_003.mp4 +2 -2
  21. data/libero_10/task_0/D03/review_videos/success_004.mp4 +2 -2
  22. data/libero_10/task_0/D04/review_videos/success_000.mp4 +2 -2
  23. data/libero_10/task_0/D04/review_videos/success_001.mp4 +2 -2
  24. data/libero_10/task_0/D04/review_videos/success_002.mp4 +2 -2
  25. data/libero_10/task_0/D04/review_videos/success_003.mp4 +2 -2
  26. data/libero_10/task_0/D04/review_videos/success_004.mp4 +2 -2
  27. data/libero_10/task_0/D05/review_videos/success_000.mp4 +2 -2
  28. data/libero_10/task_0/D05/review_videos/success_001.mp4 +2 -2
  29. data/libero_10/task_0/D05/review_videos/success_002.mp4 +2 -2
  30. data/libero_10/task_0/D05/review_videos/success_003.mp4 +2 -2
  31. data/libero_10/task_0/D05/review_videos/success_004.mp4 +2 -2
  32. data/libero_10/task_0/D06/review_videos/success_000.mp4 +2 -2
  33. data/libero_10/task_0/D06/review_videos/success_001.mp4 +2 -2
  34. data/libero_10/task_0/D06/review_videos/success_002.mp4 +2 -2
  35. data/libero_10/task_0/D06/review_videos/success_003.mp4 +2 -2
  36. data/libero_10/task_0/D06/review_videos/success_004.mp4 +2 -2
  37. data/libero_10/task_0/D07/review_videos/success_000.mp4 +2 -2
  38. data/libero_10/task_0/D07/review_videos/success_001.mp4 +2 -2
  39. data/libero_10/task_0/D07/review_videos/success_002.mp4 +2 -2
  40. data/libero_10/task_0/D07/review_videos/success_003.mp4 +2 -2
  41. data/libero_10/task_0/D07/review_videos/success_004.mp4 +2 -2
  42. data/libero_10/task_0/D08/review_videos/success_000.mp4 +2 -2
  43. data/libero_10/task_0/D08/review_videos/success_001.mp4 +2 -2
  44. data/libero_10/task_0/D08/review_videos/success_002.mp4 +2 -2
  45. data/libero_10/task_0/D08/review_videos/success_003.mp4 +2 -2
  46. data/libero_10/task_0/D08/review_videos/success_004.mp4 +2 -2
  47. data/libero_10/task_0/D09/review_videos/success_000.mp4 +2 -2
  48. data/libero_10/task_0/D09/review_videos/success_001.mp4 +2 -2
  49. data/libero_10/task_0/D09/review_videos/success_002.mp4 +2 -2
  50. data/libero_10/task_0/D09/review_videos/success_003.mp4 +2 -2
README.md CHANGED
@@ -18,7 +18,7 @@ size_categories:
18
 
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  # LIBERO-Pro2.0 — Native HDF5 Training Data
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- **Release status: COMPLETE.** All 1,349 instances have been uploaded; remote file sizes and content hashes match the prepared release. See `release.json` and `manifests/`.
22
 
23
  This repository distributes the native HDF5 training demonstrations for LIBERO-Pro2.0, with per-instance metadata, trajectory source indexes, and review videos. This is the HDF5 release, not an RLDS or LeRobot conversion. No simulator assets, model weights, or evaluation rollouts are bundled here.
24
 
@@ -34,7 +34,7 @@ This repository distributes the native HDF5 training demonstrations for LIBERO-P
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  The source audit reports **8,258,504 total steps**. Each instance contains 30 stored demonstrations and 5 review videos (6,745 videos total). BASE and perturbation instances are included; case coverage is not identical for every task. Exact statistics and per-episode records are in `manifests/statistics.json` and `manifests/episodes.jsonl`.
36
 
37
- The source package was collected in September 2026. The original archive, approximately 218.8 GiB, passed both per-part and concatenated-archive SHA-256 verification before release preparation. Production HDF5 files, metadata, source indexes, and review videos are preserved byte-for-byte. Pilot HDF5 files, collection logs, progress files, attempt logs, and lock files are excluded.
38
 
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  ## Trajectory provenance and repeated demonstrations
40
 
@@ -86,7 +86,7 @@ Each file contains `data/demo_0` through `data/demo_29`. `T` varies by demonstra
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  | dones | `(T,)` | bool |
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  | server_step_seconds | `(T,)` | recorded server timing, where present |
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- Dataset attributes include `env_args`, `generation_metadata`, and `total`; demo attributes include success and source metadata. See `manifests/schema_example.json` for the original action schema from an inspected episode, including control frequency, controller, and gripper semantics. Images and actions have not been rotated, resized, normalized, or converted for publication. This repository does not supply training normalization statistics or claim drop-in compatibility with arbitrary policy loaders.
90
 
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  ## Download and inspect
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@@ -115,10 +115,16 @@ Raw HDF5 is intended for local training loaders. This release does not advertise
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  ## Validation and limitations
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- The source audit is preserved as `manifests/source_final_audit.json`. Release preparation additionally checks every production HDF5 file for readability, demo counts, action/image shapes, reward/done lengths, success attributes, and step totals; it hashes every distributed payload file. It does not replay physics, decode every image/video, or independently re-establish the source audit's uniqueness and task-success claims. A completed release is marked only after its remote file sizes and content hashes match the prepared payload.
119
 
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  ## License
121
 
122
  This dataset repository uses **CC BY-NC 4.0**, retaining the license selected by the repository owner. See https://creativecommons.org/licenses/by-nc/4.0/ . This metadata does not relicense external simulator code, benchmark assets, or other third-party materials. Refer to their original licenses when using them separately.
123
 
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  No paper DOI or formal citation is asserted for this release. Cite this repository URL and the specific revision used; benchmark-code and publication references can be added by the maintainers.
 
 
 
 
 
 
 
18
 
19
  # LIBERO-Pro2.0 — Native HDF5 Training Data
20
 
21
+ **Release status: COMPLETE (v1.0.1).** All 1,349 instances have been uploaded; remote file sizes and content hashes match the prepared release. All 6,745 review videos now use browser-compatible H.264. See `release.json` and `manifests/`.
22
 
23
  This repository distributes the native HDF5 training demonstrations for LIBERO-Pro2.0, with per-instance metadata, trajectory source indexes, and review videos. This is the HDF5 release, not an RLDS or LeRobot conversion. No simulator assets, model weights, or evaluation rollouts are bundled here.
24
 
 
34
 
35
  The source audit reports **8,258,504 total steps**. Each instance contains 30 stored demonstrations and 5 review videos (6,745 videos total). BASE and perturbation instances are included; case coverage is not identical for every task. Exact statistics and per-episode records are in `manifests/statistics.json` and `manifests/episodes.jsonl`.
36
 
37
+ The source package was collected in September 2026. The original archive, approximately 218.8 GiB, passed both per-part and concatenated-archive SHA-256 verification before release preparation. Production HDF5 files, metadata, and source indexes are preserved byte-for-byte. In v1.0.1, review videos are re-encoded from the original MPEG-4 Part 2 (mp4v) files as browser-compatible H.264 Constrained Baseline / yuv420p with MP4 faststart. Resolution, frame count, frame rate, duration, and orientation are preserved; this is a lossy video re-encoding at CRF 18, not a change to HDF5 training observations. Original videos remain available at the immutable v1.0.0 tag. Pilot HDF5 files, collection logs, progress files, attempt logs, and lock files are excluded.
38
 
39
  ## Trajectory provenance and repeated demonstrations
40
 
 
86
  | dones | `(T,)` | bool |
87
  | server_step_seconds | `(T,)` | recorded server timing, where present |
88
 
89
+ Dataset attributes include `env_args`, `generation_metadata`, and `total`; demo attributes include success and source metadata. See `manifests/schema_example.json` for the original action schema from an inspected episode, including control frequency, controller, and gripper semantics. Images and actions inside HDF5 have not been rotated, resized, normalized, or converted for publication. This repository does not supply training normalization statistics or claim drop-in compatibility with arbitrary policy loaders.
90
 
91
  ## Download and inspect
92
 
 
115
 
116
  ## Validation and limitations
117
 
118
+ The source audit is preserved as `manifests/source_final_audit.json`. Release preparation additionally checks every production HDF5 file for readability, demo counts, action/image shapes, reward/done lengths, success attributes, and step totals; it hashes every distributed payload file. For v1.0.1, all 6,745 transcoded review videos are fully decoded and checked for codec, pixel format, MP4 faststart, resolution, frame count, frame rate, and duration. It does not replay physics, decode every HDF5 observation image, or independently re-establish the source audit's uniqueness and task-success claims. A completed release is marked only after its remote file sizes and content hashes match the prepared payload.
119
 
120
  ## License
121
 
122
  This dataset repository uses **CC BY-NC 4.0**, retaining the license selected by the repository owner. See https://creativecommons.org/licenses/by-nc/4.0/ . This metadata does not relicense external simulator code, benchmark assets, or other third-party materials. Refer to their original licenses when using them separately.
123
 
124
  No paper DOI or formal citation is asserted for this release. Cite this repository URL and the specific revision used; benchmark-code and publication references can be added by the maintainers.
125
+
126
+ ## v1.0.1 browser playback fix
127
+
128
+ Original review videos used MPEG-4 Part 2 (`mp4v`), which is not broadly supported by HTML5 browsers. The review videos on `main` now use H.264 (`avc1`), yuv420p, and faststart. See `manifests/video_transcodes.jsonl` for original and derived video hashes and per-file validation results. The HDF5 files and source metadata are unchanged. Use the `v1.0.0` tag for original, byte-preserved videos.
129
+
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+ A Chrome 130 smoke test on the actual Hugging Face file page confirmed playback of `data/libero_10/task_0/BASE/review_videos/success_000.mp4` after conversion. This is a representative browser check, not an exhaustive test of every browser.
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