Organize PROWBench inputs for browsing
Browse files- README.md +43 -14
- SHA256SUMS +9 -1
- organization.json +23 -0
- organized-files.jsonl.gz +3 -0
README.md
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- video-generation
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- programmable-world-models
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pretty_name: PROWBench — No-depth input bundle
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---
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# PROWBench — No-depth input bundle
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[Project page](https://alaya-lab.github.io/PROWBench/) · [Gallery](https://alaya-lab.github.io/PROWBench/gallery.html) · [
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| Group | Episodes | Views | Samples | Views with RGB first frame |
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|---|---:|---:|---:|---:|
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| `long_video` | 10 | 10 | 30 | 0 |
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| `multi_view` | 10 | 40 | 120 | 0 |
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| `unverified_first_frame` | 90 | 90 | 270 | 0 |
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| `neon` | 20 | 20 | 60 | 20 |
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```bash
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hf download AlayaLab/PROWBench --repo-type dataset --local-dir prowbench-download
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tar --zstd -xf archives/PROWBench-no-depth-20261008T152517Z.tar.zst
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```
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The extracted entry point is `inputs_no_depth/README.txt`. Keep the
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The source snapshot stores the Gunfight records in `episodes/gunfight`, while its existing catalogs reference `episodes/neon`. This archive includes the compatibility symlink `episodes/neon -> gunfight` so those 60 sample paths resolve. The recorded data, videos, prompts, and metadata text are unchanged; `release.json` documents this packaging adjustment.
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##
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`release.json` records the
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- video-generation
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- programmable-world-models
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pretty_name: PROWBench — No-depth input bundle
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configs:
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- config_name: default
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default: true
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data_files:
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- split: full
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path: splits/full.parquet
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- split: long_video
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path: splits/long_video.parquet
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- split: multi_view
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path: splits/multi_view.parquet
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- split: verified_first_frame
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path: splits/verified_first_frame.parquet
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- split: unverified_first_frame
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path: splits/unverified_first_frame.parquet
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- split: neon
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path: splits/neon.parquet
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---
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# PROWBench — No-depth input bundle
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PROWBench provides structured conditioning inputs for video/world-model evaluation. This **private** dataset currently contains **170 episodes, 200 selected camera tracks, and 600 representation samples**. Each view has three proxy representations: `white`, `mixed`, and `colored-obb`. The source snapshot is `20261008T152517Z`.
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[Project page](https://alaya-lab.github.io/PROWBench/) · [Gallery](https://alaya-lab.github.io/PROWBench/gallery.html) · [Project repository](https://github.com/AlayaLab/PROWBench)
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| Group | Episodes | Views | Samples | Views with first frame |
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|---|---:|---:|---:|---:|
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| `long_video` | 10 | 10 | 30 | 0 |
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| `multi_view` | 10 | 40 | 120 | 0 |
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| `unverified_first_frame` | 90 | 90 | 270 | 0 |
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| `neon` | 20 | 20 | 60 | 20 |
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The videos in this repository are **proxy input videos**, not generated model results. RGB first frames are included only where recorded in the source catalog. Depth and generated result videos are not part of this release.
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## Browse the data
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The `full` split has one row per representation sample (600 rows). The other five splits select rows from that same index by group; they are **not additional samples**. Each row includes the episode, camera, representation, prompt text, paths to directly downloadable files, source paths, SHA-256 hashes, and visual-revision indicators.
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```text
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splits/ Parquet sample index: full + five group splits
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cases/ 170 episode summaries, each listing its samples
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videos/ 600 individual proxy MP4 files
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images/ 60 available RGB first-frame PNG files
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prompts/ 690 individual prompt files, including long-video windows
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archives/ Complete, independently verified source bundle
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organized-files.jsonl.gz Checksums and source paths for the browsable files
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organization.json Layout and count summary
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```
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Paths in the Parquet columns (`video_file`, `prompt_file`, `first_frame_file`, and `case_file`) are relative to the repository root. `first_frame_file` is null when no first frame exists. For example, download one video with `hf download AlayaLab/PROWBench <video_file> --repo-type dataset`. An account with access to this private repository must be authenticated first.
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For the complete source bundle:
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```bash
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hf download AlayaLab/PROWBench --repo-type dataset --local-dir prowbench-download
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tar --zstd -xf archives/PROWBench-no-depth-20261008T152517Z.tar.zst
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```
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The extracted entry point is `inputs_no_depth/README.txt`. Keep the whole directory, including `.shared`; relative symlinks and Coastal metadata references are part of the bundle. See `inputs_no_depth/eval/BUNDLE.md` for evaluation usage. The browsable folders are convenience copies of selected inputs; the archive is the complete reproducibility package.
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## Provenance and limitations
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`release.json` records the source snapshot, archive checksum, and visual revisions. `snapshot-files.jsonl.gz` lists the archived paths, file hashes, and symlink targets. `organized-files.jsonl.gz` separately verifies the directly browsable copies and records their source paths. `SHA256SUMS` verifies the top-level release files and split indexes.
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The source snapshot stores Gunfight records in `episodes/gunfight`, while its existing catalogs call the group `neon`. The archive includes the compatibility symlink `episodes/neon -> gunfight`, so the catalog paths resolve. The recorded content is unchanged. The Parquet field `video_matches_source` is false for **76** samples whose proxy video has a documented visual revision relative to its source video; this is a provenance distinction, not a missing file. See the archive's `provenance/` records and `promptBinding` in `samples.jsonl` before comparing historical model outputs.
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No public license has been assigned to this private staging release. Component notices remain in the source bundle. This packaging check does not constitute a model evaluation run.
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SHA256SUMS
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-
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c190eb114e83677c00e0527c663c99d7435c37972951806f40654d7e23a1dca3 archives/PROWBench-no-depth-20261008T152517Z.tar.zst
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cf5f40deb82852bb1b8b1f36e1b05d47c1e3924bd8a3664f060c7dca56c8d773 release.json
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dabb5f5cbb5d93dece6a3ea272248641fd2aaf731826b17607e99969c4ead353 snapshot-files.jsonl.gz
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071fc519505ca90032ca1e34672626d217ea4f16c79ac4b759ea1fdc973dd780 README.md
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c190eb114e83677c00e0527c663c99d7435c37972951806f40654d7e23a1dca3 archives/PROWBench-no-depth-20261008T152517Z.tar.zst
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91209b9a1e24da146222acd567ed7a712d0a79a12ea3bd619a383f026cddf20a organization.json
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c27cc0fc6105d9404ab6fe601502f80c2d2682a588591acdcc9881f1ae1a47e5 organized-files.jsonl.gz
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cf5f40deb82852bb1b8b1f36e1b05d47c1e3924bd8a3664f060c7dca56c8d773 release.json
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dabb5f5cbb5d93dece6a3ea272248641fd2aaf731826b17607e99969c4ead353 snapshot-files.jsonl.gz
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d95aa0a8d0b3a13881cca979c0a391b545b19a37359063a1c9bb370997375e77 splits/full.parquet
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2e9b1cf87a5f8cafa36bcda63f849cd3a2d348c29b70ad6165276966ce6a216c splits/long_video.parquet
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a8c66dd0dfd80ca715d7dfdbd3e43824fd9be8cf3a95bab9b33208409f88f305 splits/multi_view.parquet
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99ab9c5c7e67ab6a09597444f339307fba47e94ded2ec6f856daec02280fe84b splits/neon.parquet
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a44503e6f8bcba1df153c0fd9338f84cf3c94eebc262634ba942beb1352a3423 splits/unverified_first_frame.parquet
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af9f1e695beb137bda1bb4a1a2ab6a575a70120343816a8e5dc4d8eb67e60cd2 splits/verified_first_frame.parquet
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organization.json
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{
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"camera_tracks": 200,
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"direct_bytes": 486600278,
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"direct_files": 1526,
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"episodes": 170,
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"first_frames": 60,
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"layout": "browsable-copy-v1",
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"prompt_files": 690,
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"repo_id": "AlayaLab/PROWBench",
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"samples": 600,
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"source_archive_sha256": "c190eb114e83677c00e0527c663c99d7435c37972951806f40654d7e23a1dca3",
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"source_snapshot": "20261008T152517Z",
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"split_rows": {
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"full": 600,
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"long_video": 30,
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"multi_view": 120,
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"neon": 60,
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"unverified_first_frame": 270,
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"verified_first_frame": 120
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},
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"video_files": 600,
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"visual_revision_samples": 76
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}
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organized-files.jsonl.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:c27cc0fc6105d9404ab6fe601502f80c2d2682a588591acdcc9881f1ae1a47e5
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size 82259
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