Publish dataset documentation, sample index, schemas and checksums
Browse files- .gitattributes +1 -0
- README.md +90 -1
- SHA256SUMS.txt +94 -0
- docs/RENDERING.md +104 -0
- docs/USAGE.md +107 -0
- docs/caption_v1_prompt.txt +136 -0
- examples/extract_clip.py +78 -0
- examples/inspect_frame.py +108 -0
- examples/prepare_proxy_session.py +145 -0
- manifests/selected_sample_ids.txt +5000 -0
- manifests/selection_report.json +1 -0
- manifests/train.jsonl +3 -0
- manifests/train.parquet +3 -0
- manifests/train_members.jsonl +0 -0
- manifests/train_shards.json +1 -0
- manifests/training_SHA256SUMS.txt +32 -0
- manifests/training_validation.json +1 -0
- metadata/README.md +76 -0
- metadata/catalog.json +552 -0
- metadata/episode_index.json +109 -0
- metadata/renderer/environment/requirements.lock +42 -0
- metadata/schema.json +87 -0
- metadata/validation.json +126 -0
- release_validation.json +45 -0
.gitattributes
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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metadata/source_index/global_index.sqlite3 filter=lfs diff=lfs merge=lfs -text
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manifests/train.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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---
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---
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language:
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- en
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pretty_name: CoCode World Data
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size_categories:
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- 1K<n<10K
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tags:
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- video
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- world-model
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- multi-view
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- multi-agent
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- proxy-rendering
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- game-world
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configs:
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- config_name: train
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data_files:
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- split: train
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path: train/train-*.tar
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---
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# CoCode World Data
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CoCode World Data provides **5,000 aligned training clips**, each with a GTA target video, a proxy555 control video, the original **caption method v1** text, and a frame-level alignment record. The release also includes the recorded map geometry, player controls, camera records, world state, and proxy compiler source needed to inspect or render the captured scenes in other proxy styles.
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本数据集包含 **5000 组训练 clip**：proxy555 视频、target 视频及原始 caption v1，并提供地图建模、玩家操作、相机、world state 和帧级对齐元数据，方便社区设计自己的 proxy 渲染风格。保留原片：每段 124 帧、24 FPS，实际时长约 **5.17 秒**。
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## Training data
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| Property | Value |
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|---|---|
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| Split | train; exactly 5,000 distinct clip IDs |
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| Video layout | Horizontal dual view: agent_000 left, agent_001 right |
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| Resolution | 2560 × 720 pixels; 1280 × 720 per view |
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| Frames and playback | 124 frames at 24 FPS; 5.166667 seconds |
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| Proxy compiler | 5.5.1, also referred to as proxy555 |
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| Captions | Original caption method v1, in English |
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| Packaging | 25 uncompressed TAR shards, 200 examples per shard |
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| Recording coverage | 21 episodes |
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The common “5-second clip” description refers to these original 124-frame clips. Videos and caption text retain their source bytes; they are not trimmed or regenerated. Each video contains both cameras. Thus 5,000 examples contain 5,000 proxy videos and 5,000 target videos, each with two views.
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Each sample uses the same stable ID across its archive members:
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```text
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<sample_id>.proxy.mp4
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<sample_id>.target.mp4
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<sample_id>.caption_v1.txt
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<sample_id>.alignment.json
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<sample_id>.json
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```
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`manifests/train.jsonl` provides the complete sample index, archive/member references, captions, source identities, and checksums. `manifests/train.parquet` provides the same 5,000 records in columnar form. Selection and validation evidence are distributed beside the manifest. The example reader in `examples/` works directly with the archives and does not require a video decoder merely to retrieve a sample. See [the usage guide](docs/USAGE.md) for verified standard-library extraction and Hugging Face Datasets streaming examples.
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## Selection and caption identity
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The source collection contains 8,552 paired clips. Its existing automated quality screen marks 8,318 as `keep`; this release selects exactly 5,000 from that pool with proportional episode stratification and deterministic selection. Flagged and review cases are excluded. This is an automated quality screen, not a claim of complete manual review. Source-segment identities are checked against the existing held-out evaluation segments before release.
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“Caption v1” denotes the original caption method, with an overall summary plus left- and right-view timelines. The public annotation schema is `caption-v1`. Caption text retains its original bytes. A public reference prompt, with release naming conventions, is documented in [the usage guide](docs/USAGE.md).
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## Metadata and reconstruction
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See [`metadata/README.md`](metadata/README.md), [`metadata/catalog.json`](metadata/catalog.json), and the guides in [`docs/`](docs/) for archive contents and reconstruction steps. The metadata covers all 21 recording episodes, including intervals beyond the selected 5,000 training clips. This preserves contiguous state and control histories for reuse.
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The metadata includes:
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- Static map placements, geometry, collision information, and material metadata.
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- Both players' recorded actions, button states, motion, camera parameters, and timing records.
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- World-state observations of agents, vehicles, pedestrians, objects, and environment changes.
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- Frame/source mappings, cross-view timing, prepared scene records, and compiler provenance.
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- The offline proxy compiler runtime and Python dependency records, with documented coordinate, timing, and rendering conventions.
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Use the per-clip alignment record and global frame index to join a training video to its original observations. The two cameras must be matched using the recorded server clock; identical local frame numbers do not establish a cross-camera match. Preserve left/right camera ownership when building new proxy representations.
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Alternative colors, materials, primitive geometry, and visualizations can be derived from the recorded scene and camera data. The metadata describes captured trajectories and actions. It does not itself provide a game simulator that can predict a new world-state sequence after arbitrary new player actions.
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## Public identifiers and privacy
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Training examples use `clip_000001` through `clip_005000`; recordings use `episode_001` through `episode_021`. Map assets are published as `scene_001`. These public identifiers consistently link video, caption, controls, scene state, and frame indices.
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Public metadata normalizes internal paths and collection identifiers, removes local account and machine details, and omits recording wall-clock identity fields. Monotonic timestamps, frame identities, in-game time, camera parameters, player actions, and geometric state needed for synchronization and rendering are preserved. Original video and caption bytes are retained. The private identifier mapping is not distributed.
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## Verification
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The release includes sample checksums, archive checksums, counts, selection evidence, and validation reports. To verify the published files after download, run:
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```bash
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sha256sum -c SHA256SUMS.txt
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```
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Checksums apply to the exact released bytes. Video and caption hashes verify the preserved source files. Alignment and sample-metadata hashes verify the public records after path and identifier normalization.
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Release prepared on 2026-11-11.
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SHA256SUMS.txt
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1fd7d87495b0feb3ce5efdfc3bf4811d828c0453fb0256c2841d86ba0d7910de .gitattributes
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5c8bff78a6e0541370a71e080a537f947a99e61211554656321085dd6fd7e8ee examples/extract_clip.py
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0e117b2402637ff47e8d4f4a86dd1aae578c61eef6b2a020f8a12e138eb09dbb examples/inspect_frame.py
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5ee1c3eebc186f9cf29ff42ce5f3d43534cf8db03e24616fbe4f309708050311 examples/prepare_proxy_session.py
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| 9 |
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|
| 53 |
+
c9eeff3fbd91664a1d2ffa8987e67e85c141f4814176459200f4025178c22ac6 metadata/integrity/episode_013.members.jsonl.gz
|
| 54 |
+
2748c16895404f2b142856a054bf806e911c24429ca6b9372ab8fa1f3a39a865 metadata/integrity/episode_014.members.jsonl.gz
|
| 55 |
+
fa17e29f787c4f0d35e273370beae142a97c314e10ca534a5714a6bcba9331dc metadata/integrity/episode_015.members.jsonl.gz
|
| 56 |
+
4bb9db8d11bcad9ded5cb49c90a7592b2cd04f25039318878ee7e8bb6b19f64d metadata/integrity/episode_016.members.jsonl.gz
|
| 57 |
+
9c1b714f69e750c9d25e90aad7d80c6df7d1ac0d231afb3be002baeb268c16f0 metadata/integrity/episode_017.members.jsonl.gz
|
| 58 |
+
a70bfb6dc05cba263f3cd354ccf3df7b8377a3c342fd859075935ff557e9c201 metadata/integrity/episode_018.members.jsonl.gz
|
| 59 |
+
dcf3f4027ec30f252f78d564ab89d2f8c6d85f0b05c63f8c6b127f80fd678722 metadata/integrity/episode_019.members.jsonl.gz
|
| 60 |
+
33c382db294f24b159f67b5fac7d1e07ddacc9ca75f59d1738aba96251568948 metadata/integrity/episode_020.members.jsonl.gz
|
| 61 |
+
ce25003c3b95b66d0bd91c1d7af9d36edabbf72bbd4e3a9658d1f03d41873f8f metadata/integrity/episode_021.members.jsonl.gz
|
| 62 |
+
f41c4c95cb3bed83b12585fe833a01b32b65a07738e6341446b0328c6f5408a6 metadata/integrity/scene_001.members.jsonl.gz
|
| 63 |
+
5cf865709aaeb092df4fae75efe14d831a27e78274867e80881f7ba68cb3025e metadata/maps/scene_001.tar.gz
|
| 64 |
+
73df53aaae5f5b2f56814404c31497a1d232f41c975eb45cbf4f6a8a7d5d3c84 metadata/renderer/environment/requirements.lock
|
| 65 |
+
a7aee297162005dbc8e3f33b3731d6bef89eab233e65821042a4df9468f82a21 metadata/renderer/proxy_source_5_5_1.zip
|
| 66 |
+
13094d59ed565bc15279717a06a8a1e0ba4a0f3efd1e398b356e869e0666234a metadata/schema.json
|
| 67 |
+
d349739f3ed6767650c50c1c73651998d9174244ff3b75140cc9ebff60505258 metadata/source_index/global_index.sqlite3
|
| 68 |
+
5aa1bfbcf98b9fc6017c32ffdfa029e8d7dd81b020a40b25851e7ae44f771f2e metadata/validation.json
|
| 69 |
+
b3e77af640e3d2b6ce4e46c4f59cf4a8db9fc9211fd358c8cd5f59496e5bc907 release_validation.json
|
| 70 |
+
9064f69fa44020e1e3418fa37f415934b007bb3ebd7088b1c591cfd0b0363a42 train/train-00000.tar
|
| 71 |
+
adf60063b963a38e29724e27929ace4478c45ab6c1e17ae9638b106e8e7f1aa5 train/train-00001.tar
|
| 72 |
+
ced40160cfe14a4441b85808ec1285993741928e51bd073deb5b295425317cdf train/train-00002.tar
|
| 73 |
+
8d4589ed0eaf835a41eb91bc77de0190d11c174e68a95f1b527113ce121cb553 train/train-00003.tar
|
| 74 |
+
22bef2a3e6514808144b1fc4ba9bbd718a17fd96c480c4c89bd2f7a10a99d5b8 train/train-00004.tar
|
| 75 |
+
cfcf02162b770ac82300a13bee6c2bceac5563dcd9c9ab675c0949e561879b7c train/train-00005.tar
|
| 76 |
+
b4369edbcea9c94306b973f032bb682ac783fee04ffdebd4f4371f72959e86d9 train/train-00006.tar
|
| 77 |
+
779b44c75decc3af69507b9aa906212d5c4cb12bb0ef51a6ca20a401f49fe15a train/train-00007.tar
|
| 78 |
+
46ccce6fb0220f3b45f3f25046c317fd1b3534fe42bcc7687dc4f4ae60c9d45b train/train-00008.tar
|
| 79 |
+
879ecff6f508f4dac0197bf70916cad18439d034fa241ba5f2f5893facc47084 train/train-00009.tar
|
| 80 |
+
c86ff08e78ab3088cd88f0ad905b93094acc1f5b22574f5a5f35a83963e9823a train/train-00010.tar
|
| 81 |
+
da28ac3c51ccd59ec9fa99a992040ce07e71f850718152577c9be1021565f4cd train/train-00011.tar
|
| 82 |
+
8955349e6ede6eddc6b7a8aaa8392e7a1758e197030dfb5648acbbb93242dc4b train/train-00012.tar
|
| 83 |
+
c5a420e34153fc61ad7d805f857392dc6e3a081b78979bc79f9234546f1dea36 train/train-00013.tar
|
| 84 |
+
c56c1d4792e02b71250399efa4f087323fca37438ee2cd3ebe143d6f815f230a train/train-00014.tar
|
| 85 |
+
6eff68d010ac89b5e0fe7986b50f2b0e6e334b0a53409db48ef0c7c50bc5d835 train/train-00015.tar
|
| 86 |
+
9623adf2602e626ba87b7d43df9d104f15c137a0846d334f30821f862e5f6dd4 train/train-00016.tar
|
| 87 |
+
41efea49e51bcdb0f3d2ed5ab07e3abce513ba0a018fa08b036fce322dbd3e9b train/train-00017.tar
|
| 88 |
+
ec7238b5408f58513e0622b52eca89028e0d7c70ac005f854cb463e272afd253 train/train-00018.tar
|
| 89 |
+
5533081e36b8eec99fe002dfcb0a89c303cfa0572b8b11e8b2918952849f4301 train/train-00019.tar
|
| 90 |
+
eb86773006d784979d397cbd88eb6ea3cc8321d58cc0214c3d49c700d46414f3 train/train-00020.tar
|
| 91 |
+
26f9190d4564ddbcd4065831d80caa73cd6cffaed625cbcbe1296f5c97bee4fb train/train-00021.tar
|
| 92 |
+
e1511c398be247b7932481683d781655161c8abeab0c65f91352a4a53f206a27 train/train-00022.tar
|
| 93 |
+
e37b7b15520f8ac189d5e73f8c6bffdb3fd07df32972845ad9bf1f55d26e2ad2 train/train-00023.tar
|
| 94 |
+
b5f2b917deaaff7265ea5ba8916470f471b855eb20abf44bb81b9d63ba1d1827 train/train-00024.tar
|
docs/RENDERING.md
ADDED
|
@@ -0,0 +1,104 @@
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|
|
|
| 1 |
+
# Rendering custom proxy styles
|
| 2 |
+
|
| 3 |
+
The release includes map geometry, recorded world/camera observations, frame timing, and the source of proxy compiler 5.5.1. These inputs support new visual representations of the recorded scenes. The example below prepares a small portable session for a selected clip, then calls the actual bundled compiler. It does not require the omitted full-length source RGB video.
|
| 4 |
+
|
| 5 |
+
## Prepare a clip-sized session
|
| 6 |
+
|
| 7 |
+
First extract a training clip and its episode/map metadata as described in [USAGE.md](USAGE.md). Then run:
|
| 8 |
+
|
| 9 |
+
```bash
|
| 10 |
+
python examples/prepare_proxy_session.py \
|
| 11 |
+
--index metadata/source_index/global_index.sqlite3 \
|
| 12 |
+
--source-root source \
|
| 13 |
+
--alignment extracted_clip/clip_000001.alignment.json \
|
| 14 |
+
--output work/clip_session
|
| 15 |
+
```
|
| 16 |
+
|
| 17 |
+
The destination must be new. This standard-library adapter looks up each source `frame_id`, loads the authoritative per-segment `source_frames.jsonl` and `source_alignment.jsonl`, and prepares 124 output timestamps for each camera. It carries forward the recorded server times and world ticks while placing the output on the clip's 24 FPS grid. It copies unchanged observations from four seconds before through 0.6 seconds after the selected source interval to support the compiler's temporal filters. Reused source frames remain explicit in the preparation's `release_source_frame_id` fields.
|
| 18 |
+
|
| 19 |
+
The resulting session is a new rendering input. It is not claimed to reproduce the released compressed proxy bytes: filtering state, initialization, rendering environment, and encoding can affect a rerender. For exact original playback, use the included `.proxy.mp4`.
|
| 20 |
+
|
| 21 |
+
## Install the bundled renderer
|
| 22 |
+
|
| 23 |
+
Extract `metadata/renderer/proxy_source_5_5_1.zip` to a working directory; it contains `source/pyproject.toml` and the Python package. The original environment used Python 3.11 and is recorded under `metadata/renderer/environment/`. A typical isolated setup is:
|
| 24 |
+
|
| 25 |
+
```bash
|
| 26 |
+
python3.11 -m venv work/render-env
|
| 27 |
+
work/render-env/bin/python -m pip install -r metadata/renderer/environment/requirements.lock
|
| 28 |
+
work/render-env/bin/python -m pip install -e 'work/renderer/source[proxy-gl]' --no-deps
|
| 29 |
+
```
|
| 30 |
+
|
| 31 |
+
In this example, extract the source ZIP under work/renderer first. FFmpeg must be on PATH, and full collision rendering needs a working headless OpenGL/EGL implementation such as system Mesa. Install compatible system OpenGL/EGL libraries and drivers for your platform. The dependency lock covers Python packages; it does not install native graphics drivers.
|
| 32 |
+
|
| 33 |
+
The `wm-proxy` entry point is defined in the bundled `source/pyproject.toml`; its arguments are implemented in `source/src/wm_engine/proxy/cli.py`.
|
| 34 |
+
|
| 35 |
+
## Render a different shading style
|
| 36 |
+
|
| 37 |
+
This command uses flat shading instead of the release's relief shading, while retaining the captured trajectories and the compiler's classified map representation:
|
| 38 |
+
|
| 39 |
+
```bash
|
| 40 |
+
WM_GL_BACKEND=egl work/render-env/bin/python -m wm_engine.proxy.cli render \
|
| 41 |
+
work/clip_session \
|
| 42 |
+
--world source/worlds/scene_001 \
|
| 43 |
+
--output work/proxy_flat \
|
| 44 |
+
--ground collision \
|
| 45 |
+
--scene-mode classified \
|
| 46 |
+
--surface-shading flat \
|
| 47 |
+
--radius 150 \
|
| 48 |
+
--vegetation-clearance 0.35 \
|
| 49 |
+
--human-facing-cues
|
| 50 |
+
```
|
| 51 |
+
|
| 52 |
+
`work/proxy_flat` must not already exist. For a quick environment check, add `--max-frames 1 --resolution 320 180`; this produces one frame per camera rather than the whole clip. For software rendering on a configured Mesa system, `LIBGL_ALWAYS_SOFTWARE=1` and `GALLIUM_DRIVER=llvmpipe` select the CPU backend. Native library setup remains platform-specific.
|
| 53 |
+
|
| 54 |
+
The outputs are `work/proxy_flat/agent_000/proxy.mp4` and `work/proxy_flat/agent_001/proxy.mp4`. With the full-resolution, full-length command, combine the two views using:
|
| 55 |
+
|
| 56 |
+
```bash
|
| 57 |
+
ffmpeg -i work/proxy_flat/agent_000/proxy.mp4 \
|
| 58 |
+
-i work/proxy_flat/agent_001/proxy.mp4 \
|
| 59 |
+
-filter_complex '[0:v][1:v]hstack=inputs=2[v]' -map '[v]' \
|
| 60 |
+
-an -c:v libx264 -crf 18 -pix_fmt yuv420p -movflags +faststart \
|
| 61 |
+
work/proxy_flat_dual.mp4
|
| 62 |
+
```
|
| 63 |
+
|
| 64 |
+
Validate that both inputs have the same 124-frame sequence before combining them. The left camera must remain agent_000.
|
| 65 |
+
|
| 66 |
+
## CPU-only data-path smoke test
|
| 67 |
+
|
| 68 |
+
If EGL is unavailable, the bundled compiler also has a coarse CPU rasterizer. This command checks that the prepared observations, timing, and camera data are readable:
|
| 69 |
+
|
| 70 |
+
```bash
|
| 71 |
+
work/render-env/bin/python -m wm_engine.proxy.cli render \
|
| 72 |
+
work/clip_session \
|
| 73 |
+
--world source/worlds/scene_001 \
|
| 74 |
+
--output work/proxy_cpu_smoke \
|
| 75 |
+
--ground agent_plane \
|
| 76 |
+
--scene-mode placements_heightmap \
|
| 77 |
+
--surface-shading flat \
|
| 78 |
+
--max-frames 1 --resolution 320 180
|
| 79 |
+
```
|
| 80 |
+
|
| 81 |
+
This coarse ground/placement rendering changes geometry assumptions and is useful only as a setup check; the map's full collision representation requires the EGL path described earlier.
|
| 82 |
+
|
| 83 |
+
Release preparation tested clip extraction and all member hashes, both-view source/control lookup, clip-session preparation, and this one-frame-per-view CPU rendering using the shipped compiler. The full collision/EGL smoke test could not initialize a device on the publication host (`found 0 devices`), so it is not claimed as a newly verified full rerender.
|
| 84 |
+
|
| 85 |
+
## Extend the style beyond CLI switches
|
| 86 |
+
|
| 87 |
+
| Change | Source entry point |
|
| 88 |
+
|---|---|
|
| 89 |
+
| Flat versus neutral relief shading | `proxy/shading.py:surface_colors`, CLI `--surface-shading` |
|
| 90 |
+
| Static geometry representation | `proxy/scene.py:scene_geometry`, CLI `--scene-mode` |
|
| 91 |
+
| Semantic colors and facing cues | `proxy/geometry.py`, `proxy/gl_renderer.py` |
|
| 92 |
+
| Character and vehicle primitives | `proxy/humanoid.py`, `proxy/vehicle.py`, `proxy/compiler.py:dynamic_boxes` |
|
| 93 |
+
| Camera projection and world-to-image conversion | `proxy/geometry.py:Camera`, `proxy/gl_renderer.py:GLRenderer` |
|
| 94 |
+
| World placements and collision lookup | `world/static_store.py`, `world/collision.py` |
|
| 95 |
+
|
| 96 |
+
These paths are relative to `source/src/wm_engine/` inside the source ZIP. Make changes in a separate working copy and write outputs to a new directory. Preserve camera calibration, timing, entity identities, and raw observation provenance when the intended change is visual style. Be careful with palette changes: some renderer code recognizes semantic classes through exact colors, including the separation of water geometry; update those coupled rules together.
|
| 97 |
+
|
| 98 |
+
The compiler's supported scene modes are `classified`, `fast_collision`, and `placements_heightmap`; the last is a coarse legacy preview. It also exposes clutter/puddle filters, vegetation clearance, human facing cues, and occupant smoothing controls. Inspect `python -m wm_engine.proxy.cli render --help` for the exact bundled interface.
|
| 99 |
+
|
| 100 |
+
## Scope of reconstruction
|
| 101 |
+
|
| 102 |
+
The original proxy is a simplified geometric control representation. Rigid human proxies do not recover articulated motion or detailed seated poses. The map export does not capture every recording-specific dynamic IPL/MLO state. Clock alignment is estimated, and some source intervals have missing camera/world information. The metadata retains those limitations instead of inventing missing observations.
|
| 103 |
+
|
| 104 |
+
Recorded controls can support control-conditioned training, analysis, or new action encodings. New user-authored actions require a dynamics model or a compatible interactive simulator to produce a new world-state sequence. The shipped metadata and renderer alone do not implement the full GTA game simulation or guarantee deterministic game replay.
|
docs/USAGE.md
ADDED
|
@@ -0,0 +1,107 @@
|
|
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|
|
|
|
|
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|
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|
|
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|
|
|
|
|
| 1 |
+
# Reading training clips and recorded metadata
|
| 2 |
+
|
| 3 |
+
本次发布包含 5000 个双视角 clip，保留原始 124 帧、24 FPS 视频和原始 caption v1。每个 clip 实际为 5.166667 秒。地图、玩家操作、相机与 world state 的元数据覆盖完整 21 个 episode，可用于设计新的 proxy 表达与渲染风格。
|
| 4 |
+
|
| 5 |
+
## Retrieve one training example
|
| 6 |
+
|
| 7 |
+
Download `manifests/train.jsonl`, the desired `train/train-XXXXX.tar` shard, and the scripts in `examples/`. The manifest identifies every sample's shard, exact archive members, and SHA256 hashes. Place them in their original repository-relative locations.
|
| 8 |
+
|
| 9 |
+
```bash
|
| 10 |
+
python examples/extract_clip.py \
|
| 11 |
+
--release-root . \
|
| 12 |
+
--output extracted_clip
|
| 13 |
+
```
|
| 14 |
+
|
| 15 |
+
Without `--sample-id`, this chooses the first manifest entry. To retrieve a specific entry, pass its complete ID using `--sample-id`. The destination must be new. The script verifies all five members and writes their original names. It needs only Python's standard library.
|
| 16 |
+
|
| 17 |
+
Each example contains two videos, one caption, one alignment record, and one sample metadata record:
|
| 18 |
+
|
| 19 |
+
| Member suffix | Meaning |
|
| 20 |
+
|---|---|
|
| 21 |
+
| `.proxy.mp4` | Original proxy555 control video; compiler 5.5.1 |
|
| 22 |
+
| `.target.mp4` | Original paired GTA RGB target video |
|
| 23 |
+
| `.caption_v1.txt` | Original English caption text |
|
| 24 |
+
| `.alignment.json` | Output-frame to source-frame mapping for each view |
|
| 25 |
+
| `.json` | Portable sample identity, source, format, quality and member metadata |
|
| 26 |
+
|
| 27 |
+
Both videos are 2560 × 720 with agent_000's camera on the left and agent_001's on the right. A single clip ID is one paired dual-view training example. Keep the same left/right ownership when transforming the videos.
|
| 28 |
+
|
| 29 |
+
The TAR files are uncompressed and group samples using WebDataset-style keys. The standard-library example is the reference reader; it treats `.proxy.mp4` and `.target.mp4` as separate member types. `manifests/train.parquet`, when present, is a tabular copy of the JSONL index.
|
| 30 |
+
|
| 31 |
+
## Load with Hugging Face Datasets
|
| 32 |
+
|
| 33 |
+
The dataset card selects the 25 training TAR shards. For streaming access, use:
|
| 34 |
+
|
| 35 |
+
```python
|
| 36 |
+
from datasets import Video, load_dataset
|
| 37 |
+
|
| 38 |
+
ds = load_dataset(
|
| 39 |
+
"iapple1/CoCode-World-Data", "train", split="train", streaming=True
|
| 40 |
+
)
|
| 41 |
+
ds = ds.cast_column("proxy.mp4", Video(decode=False))
|
| 42 |
+
ds = ds.cast_column("target.mp4", Video(decode=False))
|
| 43 |
+
example = next(iter(ds))
|
| 44 |
+
print(example["__key__"])
|
| 45 |
+
print(example["caption_v1.txt"])
|
| 46 |
+
proxy_bytes = example["proxy.mp4"]["bytes"]
|
| 47 |
+
target_bytes = example["target.mp4"]["bytes"]
|
| 48 |
+
```
|
| 49 |
+
|
| 50 |
+
The explicit casts expose video bytes without requiring a decoder. A local equivalent using the released TAR files was tested with Datasets 4.4.1: first and last shards each yielded 200 examples, and a combined cross-episode stream yielded 400. Multi-dot member fields remain distinct. That version initially infers videos as binary columns, so retain the casts when video feature typing is needed. Hub viewer conversion and automatic video previews depend on the service environment and are not part of the local verification.
|
| 51 |
+
|
| 52 |
+
## Caption method identity
|
| 53 |
+
|
| 54 |
+
The release preserves **caption method v1**: an overall summary, a left-view timeline, and a right-view timeline. The public annotation schema is named caption-v1. No caption text was rewritten during packaging.
|
| 55 |
+
|
| 56 |
+
The reference prompt is [caption_v1_prompt.txt](caption_v1_prompt.txt). Internal model names and annotation labels were normalized for public distribution. The original generated caption text remains unchanged. The public prompt SHA256 is:
|
| 57 |
+
|
| 58 |
+
```text
|
| 59 |
+
57c1f2626720344b12d3f67a424929c574addac3425a9d1dabaa8d8edd4e0239
|
| 60 |
+
```
|
| 61 |
+
|
| 62 |
+
The captioning procedure samples RGB at 4 FPS plus the last frame, with three proxy anchors per view. Captions and automated quality labels can contain errors; this release does not claim a complete human review. Caption times such as `5.17s` correspond to the preserved 124-frame clip.
|
| 63 |
+
|
| 64 |
+
## Extract the metadata you need
|
| 65 |
+
|
| 66 |
+
The metadata catalog lists archive paths, sizes, checksums, and coverage. Extract map and episode archives beneath one directory, called `source` here. Archives preserve the original relative directory structure, including hidden `.spool` directories.
|
| 67 |
+
|
| 68 |
+
```bash
|
| 69 |
+
mkdir -p source
|
| 70 |
+
tar -xzf metadata/maps/scene_001.tar.gz -C source
|
| 71 |
+
tar -xzf metadata/episodes/episode_001.tar.gz -C source
|
| 72 |
+
```
|
| 73 |
+
|
| 74 |
+
Replace `episode_001` using the selected manifest row's `source.episode`. The archive path is also recorded in the row's metadata references. Keep the portable `metadata/source_index/global_index.sqlite3` beside the release. Full original RGB recordings and full-length proxy videos are not part of the metadata archive; their source identities remain in the scientific provenance.
|
| 75 |
+
|
| 76 |
+
## Trace a clip frame to its recorded observations
|
| 77 |
+
|
| 78 |
+
For output frame `i`, the alignment's `left[i]` and `right[i]` entries contain source `frame_id` values. Those primary keys join to `frames.frame_id` in the global SQLite index. The joined `segment_id` identifies the episode, camera owner, and metadata directory.
|
| 79 |
+
|
| 80 |
+
```bash
|
| 81 |
+
python examples/inspect_frame.py \
|
| 82 |
+
--index metadata/source_index/global_index.sqlite3 \
|
| 83 |
+
--source-root source \
|
| 84 |
+
--alignment extracted_clip/clip_000001.alignment.json \
|
| 85 |
+
--side left --frame 0 --records \
|
| 86 |
+
--output frame_record.json
|
| 87 |
+
```
|
| 88 |
+
|
| 89 |
+
`--records` scans the episode's raw streams. Large episodes take longer; omit it to inspect only the index, scene path, and per-frame rendering provenance. The output includes the recorded world snapshot and any directly matching client observations, including their `action`, `camera`, `agent_state`, and availability fields. When multiple client rows match, the script reports all of them instead of silently selecting one.
|
| 90 |
+
|
| 91 |
+
The joins preserve distinct identities:
|
| 92 |
+
|
| 93 |
+
- `frame_id` identifies a source frame in the release index.
|
| 94 |
+
- `segment_id` plus `proxy_frame_index` identifies a frame in its published source segment.
|
| 95 |
+
- `source_id` plus `rgb_decode_index` identifies the decoded frame in the original recording source.
|
| 96 |
+
- `world_capture_tick` maps to the world stream's `sample_seq` within the episode and server clock domain.
|
| 97 |
+
- Client matching uses the recorded render frame or client sample identity and its clock domain; legacy rows may use `sample_seq_estimate`.
|
| 98 |
+
|
| 99 |
+
Do not join cameras by equal local frame indices. The 24 FPS clip grid may reuse a source frame, especially for older recordings at lower native FPS. Cross-view timing remains an estimate: original nearest matches allow up to 75 ms and can be many-to-one. Camera interpolation, vehicle interpolation, and occupant smoothing are explicitly recorded derived operations. The matching raw control row is an observation, not an interpolated input command.
|
| 100 |
+
|
| 101 |
+
## Reuse controls and world state
|
| 102 |
+
|
| 103 |
+
Raw client rows are under `<episode-relative>/.spool/agents/<agent_id>/client.jsonl`. Controls include forward/right motion, look deltas, action buttons, and keyboard/mouse aggregates. Preserve `pressed`, `released`, and `held` separately. Honor `action.availability`; absent data must not be treated as a measured zero. These controls are sampled/aggregated observations, not a complete stream of operating-system input events.
|
| 104 |
+
|
| 105 |
+
World rows are under `<episode-relative>/.spool/world_state.jsonl`. They record observed agents, vehicles, pedestrians, objects, environment, and lifecycle information. Completeness and availability fields are part of the data. This is an observable world-state sequence, not a complete engine save or all internal AI state.
|
| 106 |
+
|
| 107 |
+
See [`RENDERING.md`](RENDERING.md) for creating a new proxy visualization from recorded trajectories. Editing controls alone does not produce new physically consistent trajectories; that requires a simulator or a learned dynamics model.
|
docs/caption_v1_prompt.txt
ADDED
|
@@ -0,0 +1,136 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
CoCode World Data Caption v1 — Overall Summary and Per-view Timelines
|
| 2 |
+
Public reference prompt: naming normalized for release; generated caption texts remain unchanged.
|
| 3 |
+
|
| 4 |
+
任务
|
| 5 |
+
为给定 GTA V 双人、双视角视频生成逐样本事件 caption，供条件视频训练使用。
|
| 6 |
+
先查看实际 RGB 序列及所需辅助信息，再输出英文训练文本和独立标注记录。
|
| 7 |
+
不要只根据文件名、proxy 或现有文字推测 RGB 内容。此任务不修改训练数据、训练 prompt 或缓存。
|
| 8 |
+
|
| 9 |
+
输入
|
| 10 |
+
用户可提供一个双屏 RGB 视频，或同一 sample 的左右 RGB 路径，或 manifest 路径与 sample_id。
|
| 11 |
+
可选辅助输入：RGB 首帧、对应 proxy、实体映射、游戏日志、同步/重采样记录、已有跨窗口实体表。
|
| 12 |
+
读取实际媒体的 fps、帧数、尺寸和窗口范围。当前项目通常是 24 fps、124 帧、1664×480，
|
| 13 |
+
左右各 832×480；这些是项目默认值，不能替代媒体核对。长视频只标指定窗口。
|
| 14 |
+
缺少可读取 RGB 时报告缺失信息，不生成伪装成实测的 caption。
|
| 15 |
+
|
| 16 |
+
身份与参考规则
|
| 17 |
+
1. 左视角相机 owner 固定为 agent_000；右视角固定为 agent_001。
|
| 18 |
+
相机归属不等于画面中只有该玩家；两路都可能看到两个玩家。
|
| 19 |
+
2. 在本项目 proxy 中，蓝色人形始终是 agent_000，红色人形始终是 agent_001，
|
| 20 |
+
黄色人形表示 NPC。颜色是身份标记，不是 RGB 衣服颜色。
|
| 21 |
+
3. RGB/首帧决定可见外观；proxy 辅助身份、位置、朝向和相机路径；
|
| 22 |
+
可信日志辅助时间和游戏状态。每种来源只支持其实际包含的事实。
|
| 23 |
+
proxy 不证明关节动作、接触或命中；按键日志不证明动作成功。
|
| 24 |
+
4. 全文用 agent_000、agent_001 和稳定的 npc_001、vehicle_001 等 ID。
|
| 25 |
+
不用“左边的人/右边的人”替代身份。跨窗口有实体表时沿用；缺少跨窗口匹配证据时
|
| 26 |
+
只保证 sample 内 ID 稳定，并记录 id_scope=sample，不声称完成了全局关联。
|
| 27 |
+
5. 身份不能确定时保留 unknown_entity_001 等临时 ID 并记录问题，不凭服装猜玩家归属。
|
| 28 |
+
|
| 29 |
+
时间与取证
|
| 30 |
+
1. 以最终训练窗口的首帧为 t=0。恒定帧率视频第 f 帧为 f/fps 秒。
|
| 31 |
+
事件元数据使用整数半开区间 [start_frame, end_frame_exclusive)，
|
| 32 |
+
0 <= start_frame < end_frame_exclusive <= num_frames。
|
| 33 |
+
124 帧、24 fps 的窗口覆盖 [0, 5.166667) 秒；最后一帧从 5.125 秒开始。
|
| 34 |
+
训练文字的秒数保留两位，仅为展示；整数帧是权威时间。
|
| 35 |
+
变帧率媒体按实际 PTS 处理并记录映射，不套用 f/fps。
|
| 36 |
+
2. 核对并记录左右时间基准，但不要求两路动作或分段边界严格对应。
|
| 37 |
+
相同帧号、sample_id 或 segment_id 本身不证明同步。
|
| 38 |
+
sync_status 使用 verified / declared / unverified / mismatch：
|
| 39 |
+
verified=有可引用的同步记录或完成了共同事件校验；declared=用户明确说明已经同步；
|
| 40 |
+
unverified=未核实；mismatch=发现不一致。记录依据，不擅自平移视频或修改 RGB/proxy。
|
| 41 |
+
3. 未核实同步时使用各视角局部时间，仍可输出综述和两路独立动作时间线；
|
| 42 |
+
综述概括窗口内的主要活动，不声称精确同时性或未经确认的跨视角因果。
|
| 43 |
+
仅缺少同步证明不阻止 candidate。发现实际错配且影响身份、主要事件或窗口归属时，
|
| 44 |
+
annotation_status=needs_review、scene_description=null，并记录具体冲突。
|
| 45 |
+
已完成同步验证或有用户明确同步说明时，继续标注，不重复请求确认。
|
| 46 |
+
4. 起始浏览建议按约 4 fps 抽帧并包含首尾帧，两路按相同时间点查看。
|
| 47 |
+
对快速动作、动作切换、接触、倒地、上下车、遮挡与身份交叉处加密到 8–12 fps，
|
| 48 |
+
必要时逐帧；为每张图明确标注 view、frame、time，必要时附原帧定位的局部 crop。
|
| 49 |
+
这是起始采样策略，不保证覆盖所有短事件。记录实际查看过的帧。
|
| 50 |
+
5. 未逐帧核查的边界标为 sampled；局部逐帧核查标为 frame_checked；
|
| 51 |
+
来自已对齐日志的边界标为 log_aligned。边界有歧义时记录可能范围；
|
| 52 |
+
不把稀疏采样推断包装成逐帧真值。不用推测补齐看不清的动作。
|
| 53 |
+
|
| 54 |
+
内容规范
|
| 55 |
+
1. caption 补充每个 case 的具体场景、动作、交互与状态转换。
|
| 56 |
+
保留短场景描述与必要外观绑定，不重复现有 system prompt 的通用生成规则。
|
| 57 |
+
2. 使用一份稳定实体表，动作按各视角实际可见内容分别记录。
|
| 58 |
+
两名玩家是平等参与者；两路可以描述不同动作、采用不同分段边界和条目数，
|
| 59 |
+
不要求每条事件在另一视角找到对应。确认是同一事件时可记录关联，关联不是必填项。
|
| 60 |
+
3. 每个事件写清 actor、action、recipient/object；结果只在有证据时填写。
|
| 61 |
+
区分尝试、挥击、接触、命中、受击、倒地、死亡；不从前者自动推断后者。
|
| 62 |
+
只写观察支持的关联，不凭前后相邻就断言因果、合作、敌意或目的。
|
| 63 |
+
4. 每个视角分别覆盖其中可观察到的玩家主要动作与持续状态，包括站立、跑动、停下、
|
| 64 |
+
转身和反应。按各自语义转换分段；约 5 秒的简单片段每路可从 2–5 个主要阶段开始，
|
| 65 |
+
无变化片段可以更少，复杂互动可更多，不机械地每 0.25 秒造一个新动作。
|
| 66 |
+
5. 相机移动和人物移动分开。只在依据充分时描述世界运动；画面位移不自动等于角色平移。
|
| 67 |
+
屏幕方向写 screen-left/screen-right；角色左右手写 actor-left/actor-right。
|
| 68 |
+
未知世界坐标时不猜东南西北、精确距离或角度。
|
| 69 |
+
6. 可见性按事件/实体和视角记录：visible / partial / occluded / out_of_view / unknown。
|
| 70 |
+
occluded 表示在画幅内被遮挡；out_of_view 表示在画幅外；无法区分时用 unknown。
|
| 71 |
+
可见性发生实质变化时拆分观察区间。另一路可见的事实可以支持整体综述，
|
| 72 |
+
但不能写成当前视角也看到了。离画或遮挡不等于消失、传送、倒地或死亡。
|
| 73 |
+
7. 不把不可见的隐藏状态、猜测意图、无证据的音效、对白、武器型号、细小手部动作
|
| 74 |
+
写进训练文本。相关日志可以保留在证据记录中。此版本面向视觉事件，不标音轨。
|
| 75 |
+
8. 使用简洁英文、现在时、稳定实体 ID 和具体动作词。普通 5 秒片段通常约 100–220 词；
|
| 76 |
+
事实少就少写，事件多可增加，不为字数补情节。不要写模型推理、置信度或评测评论。
|
| 77 |
+
9. Overall summary 用一至三句简要概括这约 5 秒的场景和主要事件，可顺带绑定必要外观；
|
| 78 |
+
不堆叠时间点，不逐条复述两路动作，不强行解释两路对应关系。
|
| 79 |
+
综述可以概括后续发生的事情，但不要把后续才出现的实体说成首帧已有。
|
| 80 |
+
持续状态应有序列证据，不能仅凭两个端点断言。
|
| 81 |
+
10. 已确认事件和未决问题分开。非关键细节未知可省略；未解决的关键身份、实际错配或核心事件冲突
|
| 82 |
+
会阻止该样本成为 candidate。candidate 表示可复核的训练候选，不代表人工审核已完成。
|
| 83 |
+
|
| 84 |
+
英文训练文本固定为以下三段，空泛规则不要追加。
|
| 85 |
+
每个视角内部的条目按起始帧、结束帧、实体 ID 排序；两路独立分段，不做逐项配对。
|
| 86 |
+
视角时间线以实际人物动作和状态为主，相机运动、遮挡与构图仅在有助于理解动作时补充。
|
| 87 |
+
每个时间段描述该视角中可见的实体在做什么，不把视角段限制为相机描述。
|
| 88 |
+
|
| 89 |
+
Overall summary:
|
| 90 |
+
<One to three concise sentences summarizing the setting and main activity across the clip.>
|
| 91 |
+
|
| 92 |
+
Left-view timeline (camera owner: agent_000):
|
| 93 |
+
[<start_s>–<end_s>s] <Visible actor ID and observable action/state; relevant interaction, result or camera context.>
|
| 94 |
+
<Additional segments based on changes visible in the left view.>
|
| 95 |
+
|
| 96 |
+
Right-view timeline (camera owner: agent_001):
|
| 97 |
+
[<start_s>–<end_s>s] <Visible actor ID and observable action/state; relevant interaction, result or camera context.>
|
| 98 |
+
<Additional segments based on changes visible in the right view.>
|
| 99 |
+
|
| 100 |
+
输出
|
| 101 |
+
每个 sample 返回：
|
| 102 |
+
A. 英文 caption 代码块：仅含上述三段，对应 scene_description；needs_review 时省略此块。
|
| 103 |
+
B. 独立 JSON 标注记录，包含以下字段：
|
| 104 |
+
schema_version: "caption-v1"
|
| 105 |
+
sample_id: 原始样本 ID
|
| 106 |
+
annotation_status: "candidate" 或 "needs_review"
|
| 107 |
+
clip: {fps, num_frames, width, height, time_base, sync_status, sync_basis}
|
| 108 |
+
sources: 实际使用的 RGB、proxy、anchor、日志或 manifest 路径；没用的不要编造
|
| 109 |
+
entities: [{entity_id, role, appearance_en, identity_basis, id_scope}]
|
| 110 |
+
events: [{event_id, view, time_base, start_frame, end_frame_exclusive, actor_ids, action_en,
|
| 111 |
+
target_ids, result_en, visibility, boundary_quality,
|
| 112 |
+
boundary_range_frames: {start, end_exclusive}, evidence}]
|
| 113 |
+
view_observations: [{view, time_base, start_frame, end_frame_exclusive, description_en, evidence}]
|
| 114 |
+
uncertainties: [{subject, issue, evidence, blocks_caption}]
|
| 115 |
+
provenance: {captioner, prompt_version, inspected_frames: {left, right}, human_reviewed}
|
| 116 |
+
scene_description: 与 A 完全相同的字符串；needs_review 时为 null
|
| 117 |
+
每条 events 只对应一个视角的动作分段，view 为 "left" 或 "right"；
|
| 118 |
+
visibility 按 actor ID 记录该视角中的可见性，不必填写另一视角的可见性或对应事件。
|
| 119 |
+
view_observations 仅保留额外需要记录的相机或可见性证据，无额外内容时用 []。
|
| 120 |
+
未知 result_en 用 null；没有 target 的事件用 []。
|
| 121 |
+
boundary_range_frames 的 start/end_exclusive 分别为边界可能值的闭区间 [min,max]；
|
| 122 |
+
确认精确边界用 [f,f]，不能确定范围用 null，不填写模型自报概率。
|
| 123 |
+
evidence 为对象数组，写 source 和实际 frame_indices，或确切日志引用。
|
| 124 |
+
同步已验证或明确声明时，clip.time_base 与所有事件/观察的 time_base 均为 "clip_local"。
|
| 125 |
+
未核实同步时 clip.time_base="per_view_local"；事件和观察分别用 "left_local" / "right_local"。
|
| 126 |
+
此时英文视角标题分别追加 "; times local to left view" / "; times local to right view"，
|
| 127 |
+
秒数仍从各自窗口首帧起算，综述不作精确同时性断言。
|
| 128 |
+
captioner 填当前会话可确认的模型标识，无法确认则填 "unknown"；不猜精确模型版本。
|
| 129 |
+
human_reviewed 默认为 false；仅有人类完成该样本审核的记录时可改为 true。
|
| 130 |
+
C. 一句中文状态说明：是否存在阻止使用的同步、身份或核心事件问题。
|
| 131 |
+
|
| 132 |
+
用户要求保存结果时，将 caption 和记录写到用户指定目录，文件名为
|
| 133 |
+
<sample_id>.caption.txt 与 <sample_id>.annotation.json；无指定目录时在对话中返回。
|
| 134 |
+
needs_review 只保存 annotation.json，已有 candidate 文件不得被静默覆盖或保留成最新可用版本。
|
| 135 |
+
scene_description 是最终训练文本字段，JSON 证据记录不进入 模型文本条件。
|
| 136 |
+
生成新 caption 后不自动合并 manifest、不重建缓存、不启动训练。
|
examples/extract_clip.py
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
"""Extract one manifest-selected clip, verifying member hashes; stdlib only."""
|
| 3 |
+
import argparse
|
| 4 |
+
import hashlib
|
| 5 |
+
import json
|
| 6 |
+
from pathlib import Path, PurePosixPath
|
| 7 |
+
import tarfile
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
def safe_relative(name):
|
| 11 |
+
path = PurePosixPath(name)
|
| 12 |
+
if path.is_absolute() or '..' in path.parts or '\\' in name:
|
| 13 |
+
raise ValueError(f'Unsafe relative path: {name!r}')
|
| 14 |
+
return path
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
def find_sample(root, sample_id):
|
| 18 |
+
with (root / 'manifests/train.jsonl').open(encoding='utf-8') as stream:
|
| 19 |
+
for line in stream:
|
| 20 |
+
row = json.loads(line)
|
| 21 |
+
if sample_id is None or row['sample_id'] == sample_id:
|
| 22 |
+
return row
|
| 23 |
+
raise ValueError(f'Sample not found: {sample_id}')
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
def extract(root, sample_id, destination):
|
| 27 |
+
row = find_sample(root, sample_id)
|
| 28 |
+
shard = (root / safe_relative(row['shard'])).resolve()
|
| 29 |
+
shard.relative_to(root.resolve())
|
| 30 |
+
if destination.exists():
|
| 31 |
+
raise FileExistsError(f'Choose a new output directory: {destination}')
|
| 32 |
+
destination.mkdir(parents=True)
|
| 33 |
+
files = {}
|
| 34 |
+
try:
|
| 35 |
+
with tarfile.open(shard, 'r:') as archive:
|
| 36 |
+
for kind, name in row['members'].items():
|
| 37 |
+
relative = safe_relative(name)
|
| 38 |
+
if len(relative.parts) != 1:
|
| 39 |
+
raise ValueError(f'Expected a flat sample member: {name}')
|
| 40 |
+
member = archive.getmember(name)
|
| 41 |
+
if not member.isfile():
|
| 42 |
+
raise ValueError(f'Expected regular file: {name}')
|
| 43 |
+
expected = row['sha256'].get(kind)
|
| 44 |
+
if not expected:
|
| 45 |
+
raise ValueError(f'No expected hash for {kind}')
|
| 46 |
+
path = destination / relative.name
|
| 47 |
+
digest = hashlib.sha256()
|
| 48 |
+
source = archive.extractfile(member)
|
| 49 |
+
if source is None:
|
| 50 |
+
raise ValueError(f'Unreadable member: {name}')
|
| 51 |
+
with source, path.open('xb') as output:
|
| 52 |
+
while chunk := source.read(1024 * 1024):
|
| 53 |
+
digest.update(chunk)
|
| 54 |
+
output.write(chunk)
|
| 55 |
+
if digest.hexdigest() != expected:
|
| 56 |
+
path.unlink()
|
| 57 |
+
raise ValueError(f'SHA256 mismatch: {name}')
|
| 58 |
+
files[kind] = str(path)
|
| 59 |
+
return {'sample_id': row['sample_id'], 'shard': row['shard'],
|
| 60 |
+
'num_frames': row['num_frames'], 'fps': row['fps'],
|
| 61 |
+
'duration_seconds': row['duration_seconds'], 'files': files}
|
| 62 |
+
except Exception:
|
| 63 |
+
# Verified files may remain for inspection; no existing directory is overwritten.
|
| 64 |
+
raise
|
| 65 |
+
|
| 66 |
+
|
| 67 |
+
def main():
|
| 68 |
+
parser = argparse.ArgumentParser(description=__doc__)
|
| 69 |
+
parser.add_argument('--release-root', type=Path, required=True)
|
| 70 |
+
parser.add_argument('--sample-id', help='Defaults to the first manifest row')
|
| 71 |
+
parser.add_argument('--output', type=Path, required=True)
|
| 72 |
+
args = parser.parse_args()
|
| 73 |
+
result = extract(args.release_root, args.sample_id, args.output)
|
| 74 |
+
print(json.dumps(result, ensure_ascii=False, indent=2))
|
| 75 |
+
|
| 76 |
+
|
| 77 |
+
if __name__ == '__main__':
|
| 78 |
+
main()
|
examples/inspect_frame.py
ADDED
|
@@ -0,0 +1,108 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
"""Resolve a clip frame to source timing, scene and optional recorded controls."""
|
| 3 |
+
import argparse
|
| 4 |
+
import json
|
| 5 |
+
from pathlib import Path
|
| 6 |
+
import sqlite3
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
def resolve_source(root, value):
|
| 10 |
+
if value.startswith('source/'):
|
| 11 |
+
value = value[len('source/'):]
|
| 12 |
+
path = (root / value).resolve()
|
| 13 |
+
path.relative_to(root.resolve())
|
| 14 |
+
return path
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
def rows(path):
|
| 18 |
+
with path.open(encoding='utf-8-sig') as stream:
|
| 19 |
+
for line in stream:
|
| 20 |
+
if line.strip():
|
| 21 |
+
yield json.loads(line)
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
def inspect(index, source_root, alignment_path, side, position, records=False):
|
| 25 |
+
alignment = json.loads(alignment_path.read_text())
|
| 26 |
+
aligned = alignment[side][position]
|
| 27 |
+
conn = sqlite3.connect(index.resolve().as_uri() + '?mode=ro', uri=True)
|
| 28 |
+
conn.row_factory = sqlite3.Row
|
| 29 |
+
with conn:
|
| 30 |
+
result = conn.execute('SELECT * FROM frames WHERE frame_id=?',
|
| 31 |
+
(aligned['frame_id'],)).fetchone()
|
| 32 |
+
if result is None:
|
| 33 |
+
raise ValueError(f'Unknown frame_id {aligned["frame_id"]}')
|
| 34 |
+
frame = dict(result)
|
| 35 |
+
segment = dict(conn.execute('SELECT * FROM segments WHERE segment_id=?',
|
| 36 |
+
(frame['segment_id'],)).fetchone())
|
| 37 |
+
conn.close()
|
| 38 |
+
output_dir = resolve_source(source_root, segment['output_directory'])
|
| 39 |
+
episode_root = output_dir.parents[3]
|
| 40 |
+
episode_root.relative_to(source_root.resolve())
|
| 41 |
+
output = {'side': side, 'clip_frame': position,
|
| 42 |
+
'clip_grid_ns': alignment['grid_ns'][position],
|
| 43 |
+
'source_alignment': aligned, 'source_frame': frame, 'segment': segment,
|
| 44 |
+
'episode_root': str(episode_root),
|
| 45 |
+
'scene_path': str(output_dir / frame['scene_index']) if frame.get('scene_index') else None}
|
| 46 |
+
frame_path = output_dir / 'frames.jsonl'
|
| 47 |
+
details = next((r for r in rows(frame_path)
|
| 48 |
+
if r['proxy_frame_index'] == frame['proxy_frame_index']), None)
|
| 49 |
+
if details is None:
|
| 50 |
+
raise ValueError('Published per-frame metadata is missing')
|
| 51 |
+
output['render_frame_metadata'] = details
|
| 52 |
+
if records:
|
| 53 |
+
domain = frame['server_clock_domain']
|
| 54 |
+
clock_domain = frame['client_clock_domain']
|
| 55 |
+
world = next((r for r in rows(episode_root / '.spool/world_state.jsonl')
|
| 56 |
+
if r.get('sample_seq') == frame['world_capture_tick']
|
| 57 |
+
and r.get('server_clock_domain') == domain), None)
|
| 58 |
+
output['world_record'] = world
|
| 59 |
+
client_path = episode_root / '.spool/agents' / segment['agent_id'] / 'client.jsonl'
|
| 60 |
+
matching = []
|
| 61 |
+
method = None
|
| 62 |
+
for record in rows(client_path):
|
| 63 |
+
if record.get('server_clock_domain') != domain:
|
| 64 |
+
continue
|
| 65 |
+
if clock_domain and record.get('client_clock_domain') != clock_domain:
|
| 66 |
+
continue
|
| 67 |
+
if details.get('render_frame_id') is not None:
|
| 68 |
+
matches = record.get('render_frame_id') == details['render_frame_id']
|
| 69 |
+
method = 'same_render_frame_id_and_clock_domains'
|
| 70 |
+
elif frame.get('client_sample_seq') is not None:
|
| 71 |
+
matches = record.get('client_sample_seq') == frame['client_sample_seq']
|
| 72 |
+
method = 'same_client_sample_seq_and_clock_domains'
|
| 73 |
+
else:
|
| 74 |
+
matches = record.get('sample_seq_estimate') == details.get('camera_capture_tick')
|
| 75 |
+
method = 'same_camera_capture_tick_and_clock_domains'
|
| 76 |
+
if matches:
|
| 77 |
+
matching.append(record)
|
| 78 |
+
output['client_match_method'] = method
|
| 79 |
+
output['client_records'] = matching
|
| 80 |
+
output['client_match_count'] = len(matching)
|
| 81 |
+
output['note'] = ('Raw observations only. Interpolated cameras and smoothing may use '
|
| 82 |
+
'adjacent observations; these records alone do not recreate that filter.')
|
| 83 |
+
return output
|
| 84 |
+
|
| 85 |
+
|
| 86 |
+
def main():
|
| 87 |
+
parser = argparse.ArgumentParser(description=__doc__)
|
| 88 |
+
parser.add_argument('--index', type=Path, required=True)
|
| 89 |
+
parser.add_argument('--source-root', type=Path, required=True,
|
| 90 |
+
help='Directory where map and episode metadata archives were extracted')
|
| 91 |
+
parser.add_argument('--alignment', type=Path, required=True)
|
| 92 |
+
parser.add_argument('--side', choices=['left', 'right'], default='left')
|
| 93 |
+
parser.add_argument('--frame', type=int, default=0)
|
| 94 |
+
parser.add_argument('--records', action='store_true',
|
| 95 |
+
help='Scan episode raw streams for world state and matching client observations')
|
| 96 |
+
parser.add_argument('--output', type=Path, help='Write JSON to a new file instead of stdout')
|
| 97 |
+
args = parser.parse_args()
|
| 98 |
+
output = inspect(args.index, args.source_root, args.alignment, args.side, args.frame, args.records)
|
| 99 |
+
text = json.dumps(output, ensure_ascii=False, indent=2) + '\n'
|
| 100 |
+
if args.output:
|
| 101 |
+
with args.output.open('x', encoding='utf-8') as stream:
|
| 102 |
+
stream.write(text)
|
| 103 |
+
else:
|
| 104 |
+
print(text, end='')
|
| 105 |
+
|
| 106 |
+
|
| 107 |
+
if __name__ == '__main__':
|
| 108 |
+
main()
|
examples/prepare_proxy_session.py
ADDED
|
@@ -0,0 +1,145 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
|
|
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|
|
|
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|
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|
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|
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|
|
|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
"""Prepare a portable clip-sized wm-proxy session from extracted metadata.
|
| 3 |
+
|
| 4 |
+
Only stdlib is needed. This prepares inputs; rendering needs the bundled compiler.
|
| 5 |
+
Recorded observations are copied unchanged. Output timestamps use the clip grid.
|
| 6 |
+
"""
|
| 7 |
+
import argparse
|
| 8 |
+
import copy
|
| 9 |
+
import json
|
| 10 |
+
from pathlib import Path
|
| 11 |
+
import sqlite3
|
| 12 |
+
|
| 13 |
+
from inspect_frame import resolve_source, rows
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
def dump(path, value):
|
| 17 |
+
path.parent.mkdir(parents=True, exist_ok=True)
|
| 18 |
+
path.write_text(json.dumps(value, ensure_ascii=False, indent=2) + '\n')
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
def dump_rows(path, values):
|
| 22 |
+
path.parent.mkdir(parents=True, exist_ok=True)
|
| 23 |
+
with path.open('x', encoding='utf-8') as stream:
|
| 24 |
+
for value in values:
|
| 25 |
+
stream.write(json.dumps(value, ensure_ascii=False, separators=(',', ':')) + '\n')
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
def prepare(index, source_root, alignment_file, output):
|
| 29 |
+
if output.exists():
|
| 30 |
+
raise FileExistsError(f'Choose a new output directory: {output}')
|
| 31 |
+
alignment = json.loads(alignment_file.read_text())
|
| 32 |
+
count = len(alignment['grid_ns'])
|
| 33 |
+
if count != 124 or any(len(alignment[s]) != count for s in ('left', 'right')):
|
| 34 |
+
raise ValueError('Expected two views with 124 source frame references')
|
| 35 |
+
conn = sqlite3.connect(index.resolve().as_uri() + '?mode=ro', uri=True)
|
| 36 |
+
conn.row_factory = sqlite3.Row
|
| 37 |
+
source_frames = {}
|
| 38 |
+
source_segments = {}
|
| 39 |
+
episode_roots = set()
|
| 40 |
+
episodes = set()
|
| 41 |
+
for side in ('left', 'right'):
|
| 42 |
+
source_frames[side] = []
|
| 43 |
+
for item in alignment[side]:
|
| 44 |
+
row = conn.execute('SELECT * FROM frames WHERE frame_id=?', (item['frame_id'],)).fetchone()
|
| 45 |
+
if row is None:
|
| 46 |
+
raise ValueError(f'Missing frame {item["frame_id"]}')
|
| 47 |
+
frame = dict(row)
|
| 48 |
+
if frame['status'] != 'estimated_alignment':
|
| 49 |
+
raise ValueError('Only usable aligned frames can be prepared')
|
| 50 |
+
source_frames[side].append(frame)
|
| 51 |
+
sid = frame['segment_id']
|
| 52 |
+
if sid not in source_segments:
|
| 53 |
+
seg = dict(conn.execute('SELECT * FROM segments WHERE segment_id=?', (sid,)).fetchone())
|
| 54 |
+
segment_dir = resolve_source(source_root, seg['output_directory'])
|
| 55 |
+
# Source files are in proxy decode order, regardless of legacy frame_index quirks.
|
| 56 |
+
raw = list(rows(segment_dir / 'source_frames.jsonl'))
|
| 57 |
+
aligned = list(rows(segment_dir / 'source_alignment.jsonl'))
|
| 58 |
+
if len(raw) != seg['frame_count'] or len(aligned) != seg['frame_count']:
|
| 59 |
+
raise ValueError(f'Source frame count mismatch for segment {sid}')
|
| 60 |
+
source_segments[sid] = (seg, raw, aligned)
|
| 61 |
+
episode_roots.add(segment_dir.parents[3])
|
| 62 |
+
episodes.add(seg['episode_id'])
|
| 63 |
+
conn.close()
|
| 64 |
+
if len(episode_roots) != 1 or len(episodes) != 1:
|
| 65 |
+
raise ValueError('A clip must belong to exactly one episode')
|
| 66 |
+
episode_root = episode_roots.pop()
|
| 67 |
+
all_frames = source_frames['left'] + source_frames['right']
|
| 68 |
+
domains = {f['server_clock_domain'] for f in all_frames}
|
| 69 |
+
if len(domains) != 1 or None in domains:
|
| 70 |
+
raise ValueError('Expected a single known server clock domain')
|
| 71 |
+
domain = domains.pop()
|
| 72 |
+
low = min(f['server_time_estimate_ns'] for f in all_frames) - 4_000_000_000
|
| 73 |
+
high = max(f['server_time_estimate_ns'] for f in all_frames) + 600_000_000
|
| 74 |
+
required_ticks = {f['world_capture_tick'] for f in all_frames}
|
| 75 |
+
world_rows = [r for r in rows(episode_root / '.spool/world_state.jsonl')
|
| 76 |
+
if r.get('server_clock_domain') == domain
|
| 77 |
+
and (low <= r.get('server_monotonic_ns', -1) <= high
|
| 78 |
+
or r.get('sample_seq') in required_ticks)]
|
| 79 |
+
if not required_ticks <= {r['sample_seq'] for r in world_rows}:
|
| 80 |
+
raise ValueError('Required world snapshots missing; extract the complete episode metadata')
|
| 81 |
+
clients = {}
|
| 82 |
+
agents = []
|
| 83 |
+
for side in ('left', 'right'):
|
| 84 |
+
agent_ids = {source_segments[f['segment_id']][0]['agent_id'] for f in source_frames[side]}
|
| 85 |
+
if len(agent_ids) != 1:
|
| 86 |
+
raise ValueError(f'Inconsistent camera ownership for {side}')
|
| 87 |
+
agent = agent_ids.pop()
|
| 88 |
+
agents.append(agent)
|
| 89 |
+
selected = []
|
| 90 |
+
for record in rows(episode_root / '.spool/agents' / agent / 'client.jsonl'):
|
| 91 |
+
if record.get('server_clock_domain') != domain:
|
| 92 |
+
continue
|
| 93 |
+
timestamp = record.get('server_time_estimate_ns')
|
| 94 |
+
if timestamp is None:
|
| 95 |
+
timestamp = record.get('server_broadcast_monotonic_ns')
|
| 96 |
+
if (timestamp is not None and low <= timestamp <= high) or record.get('sample_seq_estimate') in required_ticks:
|
| 97 |
+
selected.append(record)
|
| 98 |
+
if not selected:
|
| 99 |
+
raise ValueError(f'No context observations for {agent}')
|
| 100 |
+
clients[agent] = selected
|
| 101 |
+
output.mkdir(parents=True)
|
| 102 |
+
manifest = {'schema_version': '0.1.0', 'episode_id': episodes.pop(),
|
| 103 |
+
'agent_ids': agents, 'video_fps': 24, 'resolution': [1280, 720],
|
| 104 |
+
'preserve_decoded_rgb_timing': True,
|
| 105 |
+
'alignment_scope': 'release_clip_original_source_frames_on_24fps_output_grid',
|
| 106 |
+
'preparation_note': 'Recorded states unchanged; new visualization input, not bit-identical replay.'}
|
| 107 |
+
dump(output / 'manifest.json', manifest)
|
| 108 |
+
dump_rows(output / '.spool/world_state.jsonl', world_rows)
|
| 109 |
+
for side, agent in zip(('left', 'right'), agents):
|
| 110 |
+
raw_output, aligned_output = [], []
|
| 111 |
+
for i, frame in enumerate(source_frames[side]):
|
| 112 |
+
_, raw, aligned = source_segments[frame['segment_id']]
|
| 113 |
+
pts = alignment['grid_ns'][i] - alignment['grid_ns'][0]
|
| 114 |
+
for source, destination in [(raw, raw_output), (aligned, aligned_output)]:
|
| 115 |
+
record = copy.deepcopy(source[frame['proxy_frame_index']])
|
| 116 |
+
record.update(frame_index=i, video_pts_ns=pts, rgb_encoded_pts_ns=pts,
|
| 117 |
+
server_time_estimate_ns=frame['server_time_estimate_ns'],
|
| 118 |
+
server_clock_domain=frame['server_clock_domain'],
|
| 119 |
+
estimated_sample_seq=frame['world_capture_tick'],
|
| 120 |
+
release_source_frame_id=frame['frame_id'])
|
| 121 |
+
destination.append(record)
|
| 122 |
+
folder = output / 'agents' / agent
|
| 123 |
+
dump_rows(folder / 'frame_timestamps.jsonl', raw_output)
|
| 124 |
+
dump_rows(folder / 'frame_timestamps.aligned.jsonl', aligned_output)
|
| 125 |
+
dump_rows(output / '.spool/agents' / agent / 'client.jsonl', clients[agent])
|
| 126 |
+
summary = {'num_frames_per_view': count, 'agent_ids': agents, 'world_records': len(world_rows),
|
| 127 |
+
'client_records': {key: len(value) for key, value in clients.items()},
|
| 128 |
+
'context_before_seconds': 4, 'context_after_seconds': 0.6,
|
| 129 |
+
'server_clock_domain': domain, 'raw_observations_modified': False}
|
| 130 |
+
dump(output / 'preparation.json', summary)
|
| 131 |
+
return summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
def main():
|
| 135 |
+
parser = argparse.ArgumentParser(description=__doc__)
|
| 136 |
+
parser.add_argument('--index', type=Path, required=True)
|
| 137 |
+
parser.add_argument('--source-root', type=Path, required=True)
|
| 138 |
+
parser.add_argument('--alignment', type=Path, required=True)
|
| 139 |
+
parser.add_argument('--output', type=Path, required=True)
|
| 140 |
+
args = parser.parse_args()
|
| 141 |
+
print(json.dumps(prepare(args.index, args.source_root, args.alignment, args.output), indent=2))
|
| 142 |
+
|
| 143 |
+
|
| 144 |
+
if __name__ == '__main__':
|
| 145 |
+
main()
|
manifests/selected_sample_ids.txt
ADDED
|
@@ -0,0 +1,5000 @@
|
|
|
|
|
|
|
|
|
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clip_004978
|
| 4979 |
+
clip_004979
|
| 4980 |
+
clip_004980
|
| 4981 |
+
clip_004981
|
| 4982 |
+
clip_004982
|
| 4983 |
+
clip_004983
|
| 4984 |
+
clip_004984
|
| 4985 |
+
clip_004985
|
| 4986 |
+
clip_004986
|
| 4987 |
+
clip_004987
|
| 4988 |
+
clip_004988
|
| 4989 |
+
clip_004989
|
| 4990 |
+
clip_004990
|
| 4991 |
+
clip_004991
|
| 4992 |
+
clip_004992
|
| 4993 |
+
clip_004993
|
| 4994 |
+
clip_004994
|
| 4995 |
+
clip_004995
|
| 4996 |
+
clip_004996
|
| 4997 |
+
clip_004997
|
| 4998 |
+
clip_004998
|
| 4999 |
+
clip_004999
|
| 5000 |
+
clip_005000
|
manifests/selection_report.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"caption_method":"v1","count":5000,"eligible_count":8318,"episodes":[{"eligible":11,"episode_id":"episode_001","selected":7},{"eligible":84,"episode_id":"episode_002","selected":51},{"eligible":52,"episode_id":"episode_003","selected":31},{"eligible":43,"episode_id":"episode_004","selected":26},{"eligible":296,"episode_id":"episode_005","selected":178},{"eligible":774,"episode_id":"episode_006","selected":465},{"eligible":854,"episode_id":"episode_007","selected":513},{"eligible":44,"episode_id":"episode_008","selected":26},{"eligible":501,"episode_id":"episode_009","selected":301},{"eligible":865,"episode_id":"episode_010","selected":520},{"eligible":604,"episode_id":"episode_011","selected":363},{"eligible":643,"episode_id":"episode_012","selected":387},{"eligible":59,"episode_id":"episode_013","selected":35},{"eligible":102,"episode_id":"episode_014","selected":61},{"eligible":58,"episode_id":"episode_015","selected":35},{"eligible":81,"episode_id":"episode_016","selected":49},{"eligible":781,"episode_id":"episode_017","selected":469},{"eligible":866,"episode_id":"episode_018","selected":521},{"eligible":356,"episode_id":"episode_019","selected":214},{"eligible":724,"episode_id":"episode_020","selected":435},{"eligible":520,"episode_id":"episode_021","selected":313}],"excluded_evaluation_cases":78,"excluded_source_segments":156,"preservation":"Original video and caption bytes. 124 frames at 24 fps (5.166666666666667 seconds); no trim, resample or re-encode. Public alignment IDs are anonymized; numeric source frame/segment IDs and monotonic timing are preserved.","quality_decisions":{"flag":200,"keep":8318,"review":34},"quality_human_review_complete":false,"samples_per_shard":200,"schema_version":"cocode-world-selection-v1","selected_overlap_with_excluded_segments":0,"selection_policy":"Completed machine-quality keep cases only. Proportional episode allocation by largest remainders with deterministic seeded hash selection. Selected records assigned neutral sequential public identifiers; private recording identifiers are not published.","shards":25,"source_count":8552}
|
manifests/train.jsonl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:604c44dddbf5eb26d3bdc38cd48f6a6b31dffaf2eee091f581e1ac4224ea092f
|
| 3 |
+
size 15122332
|
manifests/train.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f260f774cb0740685da256aacc40c8d1ea174bf6ba0f529f3216000534c748a6
|
| 3 |
+
size 1939209
|
manifests/train_members.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
manifests/train_shards.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"complete":true,"shards":[{"first_sample_id":"clip_000001","last_sample_id":"clip_000200","member_count":1000,"path":"train/train-00000.tar","sample_count":200,"sha256":"9064f69fa44020e1e3418fa37f415934b007bb3ebd7088b1c591cfd0b0363a42","size_bytes":1861253120},{"first_sample_id":"clip_000201","last_sample_id":"clip_000400","member_count":1000,"path":"train/train-00001.tar","sample_count":200,"sha256":"adf60063b963a38e29724e27929ace4478c45ab6c1e17ae9638b106e8e7f1aa5","size_bytes":1790208000},{"first_sample_id":"clip_000401","last_sample_id":"clip_000600","member_count":1000,"path":"train/train-00002.tar","sample_count":200,"sha256":"ced40160cfe14a4441b85808ec1285993741928e51bd073deb5b295425317cdf","size_bytes":1696174080},{"first_sample_id":"clip_000601","last_sample_id":"clip_000800","member_count":1000,"path":"train/train-00003.tar","sample_count":200,"sha256":"8d4589ed0eaf835a41eb91bc77de0190d11c174e68a95f1b527113ce121cb553","size_bytes":1758126080},{"first_sample_id":"clip_000801","last_sample_id":"clip_001000","member_count":1000,"path":"train/train-00004.tar","sample_count":200,"sha256":"22bef2a3e6514808144b1fc4ba9bbd718a17fd96c480c4c89bd2f7a10a99d5b8","size_bytes":1675386880},{"first_sample_id":"clip_001001","last_sample_id":"clip_001200","member_count":1000,"path":"train/train-00005.tar","sample_count":200,"sha256":"cfcf02162b770ac82300a13bee6c2bceac5563dcd9c9ab675c0949e561879b7c","size_bytes":1768130560},{"first_sample_id":"clip_001201","last_sample_id":"clip_001400","member_count":1000,"path":"train/train-00006.tar","sample_count":200,"sha256":"b4369edbcea9c94306b973f032bb682ac783fee04ffdebd4f4371f72959e86d9","size_bytes":1711073280},{"first_sample_id":"clip_001401","last_sample_id":"clip_001600","member_count":1000,"path":"train/train-00007.tar","sample_count":200,"sha256":"779b44c75decc3af69507b9aa906212d5c4cb12bb0ef51a6ca20a401f49fe15a","size_bytes":1709137920},{"first_sample_id":"clip_001601","last_sample_id":"clip_001800","member_count":1000,"path":"train/train-00008.tar","sample_count":200,"sha256":"46ccce6fb0220f3b45f3f25046c317fd1b3534fe42bcc7687dc4f4ae60c9d45b","size_bytes":1734246400},{"first_sample_id":"clip_001801","last_sample_id":"clip_002000","member_count":1000,"path":"train/train-00009.tar","sample_count":200,"sha256":"879ecff6f508f4dac0197bf70916cad18439d034fa241ba5f2f5893facc47084","size_bytes":1633177600},{"first_sample_id":"clip_002001","last_sample_id":"clip_002200","member_count":1000,"path":"train/train-00010.tar","sample_count":200,"sha256":"c86ff08e78ab3088cd88f0ad905b93094acc1f5b22574f5a5f35a83963e9823a","size_bytes":1491568640},{"first_sample_id":"clip_002201","last_sample_id":"clip_002400","member_count":1000,"path":"train/train-00011.tar","sample_count":200,"sha256":"da28ac3c51ccd59ec9fa99a992040ce07e71f850718152577c9be1021565f4cd","size_bytes":1722296320},{"first_sample_id":"clip_002401","last_sample_id":"clip_002600","member_count":1000,"path":"train/train-00012.tar","sample_count":200,"sha256":"8955349e6ede6eddc6b7a8aaa8392e7a1758e197030dfb5648acbbb93242dc4b","size_bytes":1827348480},{"first_sample_id":"clip_002601","last_sample_id":"clip_002800","member_count":1000,"path":"train/train-00013.tar","sample_count":200,"sha256":"c5a420e34153fc61ad7d805f857392dc6e3a081b78979bc79f9234546f1dea36","size_bytes":1770895360},{"first_sample_id":"clip_002801","last_sample_id":"clip_003000","member_count":1000,"path":"train/train-00014.tar","sample_count":200,"sha256":"c56c1d4792e02b71250399efa4f087323fca37438ee2cd3ebe143d6f815f230a","size_bytes":1992837120},{"first_sample_id":"clip_003001","last_sample_id":"clip_003200","member_count":1000,"path":"train/train-00015.tar","sample_count":200,"sha256":"6eff68d010ac89b5e0fe7986b50f2b0e6e334b0a53409db48ef0c7c50bc5d835","size_bytes":1880678400},{"first_sample_id":"clip_003201","last_sample_id":"clip_003400","member_count":1000,"path":"train/train-00016.tar","sample_count":200,"sha256":"9623adf2602e626ba87b7d43df9d104f15c137a0846d334f30821f862e5f6dd4","size_bytes":1966069760},{"first_sample_id":"clip_003401","last_sample_id":"clip_003600","member_count":1000,"path":"train/train-00017.tar","sample_count":200,"sha256":"41efea49e51bcdb0f3d2ed5ab07e3abce513ba0a018fa08b036fce322dbd3e9b","size_bytes":1647646720},{"first_sample_id":"clip_003601","last_sample_id":"clip_003800","member_count":1000,"path":"train/train-00018.tar","sample_count":200,"sha256":"ec7238b5408f58513e0622b52eca89028e0d7c70ac005f854cb463e272afd253","size_bytes":1749125120},{"first_sample_id":"clip_003801","last_sample_id":"clip_004000","member_count":1000,"path":"train/train-00019.tar","sample_count":200,"sha256":"5533081e36b8eec99fe002dfcb0a89c303cfa0572b8b11e8b2918952849f4301","size_bytes":1843701760},{"first_sample_id":"clip_004001","last_sample_id":"clip_004200","member_count":1000,"path":"train/train-00020.tar","sample_count":200,"sha256":"eb86773006d784979d397cbd88eb6ea3cc8321d58cc0214c3d49c700d46414f3","size_bytes":1818501120},{"first_sample_id":"clip_004201","last_sample_id":"clip_004400","member_count":1000,"path":"train/train-00021.tar","sample_count":200,"sha256":"26f9190d4564ddbcd4065831d80caa73cd6cffaed625cbcbe1296f5c97bee4fb","size_bytes":1763952640},{"first_sample_id":"clip_004401","last_sample_id":"clip_004600","member_count":1000,"path":"train/train-00022.tar","sample_count":200,"sha256":"e1511c398be247b7932481683d781655161c8abeab0c65f91352a4a53f206a27","size_bytes":2203238400},{"first_sample_id":"clip_004601","last_sample_id":"clip_004800","member_count":1000,"path":"train/train-00023.tar","sample_count":200,"sha256":"e37b7b15520f8ac189d5e73f8c6bffdb3fd07df32972845ad9bf1f55d26e2ad2","size_bytes":1713162240},{"first_sample_id":"clip_004801","last_sample_id":"clip_005000","member_count":1000,"path":"train/train-00024.tar","sample_count":200,"sha256":"b5f2b917deaaff7265ea5ba8916470f471b855eb20abf44bb81b9d63ba1d1827","size_bytes":1820057600}]}
|
manifests/training_SHA256SUMS.txt
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
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|
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|
|
| 1 |
+
9064f69fa44020e1e3418fa37f415934b007bb3ebd7088b1c591cfd0b0363a42 train/train-00000.tar
|
| 2 |
+
adf60063b963a38e29724e27929ace4478c45ab6c1e17ae9638b106e8e7f1aa5 train/train-00001.tar
|
| 3 |
+
ced40160cfe14a4441b85808ec1285993741928e51bd073deb5b295425317cdf train/train-00002.tar
|
| 4 |
+
8d4589ed0eaf835a41eb91bc77de0190d11c174e68a95f1b527113ce121cb553 train/train-00003.tar
|
| 5 |
+
22bef2a3e6514808144b1fc4ba9bbd718a17fd96c480c4c89bd2f7a10a99d5b8 train/train-00004.tar
|
| 6 |
+
cfcf02162b770ac82300a13bee6c2bceac5563dcd9c9ab675c0949e561879b7c train/train-00005.tar
|
| 7 |
+
b4369edbcea9c94306b973f032bb682ac783fee04ffdebd4f4371f72959e86d9 train/train-00006.tar
|
| 8 |
+
779b44c75decc3af69507b9aa906212d5c4cb12bb0ef51a6ca20a401f49fe15a train/train-00007.tar
|
| 9 |
+
46ccce6fb0220f3b45f3f25046c317fd1b3534fe42bcc7687dc4f4ae60c9d45b train/train-00008.tar
|
| 10 |
+
879ecff6f508f4dac0197bf70916cad18439d034fa241ba5f2f5893facc47084 train/train-00009.tar
|
| 11 |
+
c86ff08e78ab3088cd88f0ad905b93094acc1f5b22574f5a5f35a83963e9823a train/train-00010.tar
|
| 12 |
+
da28ac3c51ccd59ec9fa99a992040ce07e71f850718152577c9be1021565f4cd train/train-00011.tar
|
| 13 |
+
8955349e6ede6eddc6b7a8aaa8392e7a1758e197030dfb5648acbbb93242dc4b train/train-00012.tar
|
| 14 |
+
c5a420e34153fc61ad7d805f857392dc6e3a081b78979bc79f9234546f1dea36 train/train-00013.tar
|
| 15 |
+
c56c1d4792e02b71250399efa4f087323fca37438ee2cd3ebe143d6f815f230a train/train-00014.tar
|
| 16 |
+
6eff68d010ac89b5e0fe7986b50f2b0e6e334b0a53409db48ef0c7c50bc5d835 train/train-00015.tar
|
| 17 |
+
9623adf2602e626ba87b7d43df9d104f15c137a0846d334f30821f862e5f6dd4 train/train-00016.tar
|
| 18 |
+
41efea49e51bcdb0f3d2ed5ab07e3abce513ba0a018fa08b036fce322dbd3e9b train/train-00017.tar
|
| 19 |
+
ec7238b5408f58513e0622b52eca89028e0d7c70ac005f854cb463e272afd253 train/train-00018.tar
|
| 20 |
+
5533081e36b8eec99fe002dfcb0a89c303cfa0572b8b11e8b2918952849f4301 train/train-00019.tar
|
| 21 |
+
eb86773006d784979d397cbd88eb6ea3cc8321d58cc0214c3d49c700d46414f3 train/train-00020.tar
|
| 22 |
+
26f9190d4564ddbcd4065831d80caa73cd6cffaed625cbcbe1296f5c97bee4fb train/train-00021.tar
|
| 23 |
+
e1511c398be247b7932481683d781655161c8abeab0c65f91352a4a53f206a27 train/train-00022.tar
|
| 24 |
+
e37b7b15520f8ac189d5e73f8c6bffdb3fd07df32972845ad9bf1f55d26e2ad2 train/train-00023.tar
|
| 25 |
+
b5f2b917deaaff7265ea5ba8916470f471b855eb20abf44bb81b9d63ba1d1827 train/train-00024.tar
|
| 26 |
+
f61c1d574c7ab976edab5f41d8fcf4fe5e04ceaa06281524b9026b2f68b5a9ea manifests/selected_sample_ids.txt
|
| 27 |
+
66b66284489b1de605dbc4492048ab020220be71fea159ff974817a027c1f24f manifests/selection_report.json
|
| 28 |
+
604c44dddbf5eb26d3bdc38cd48f6a6b31dffaf2eee091f581e1ac4224ea092f manifests/train.jsonl
|
| 29 |
+
f260f774cb0740685da256aacc40c8d1ea174bf6ba0f529f3216000534c748a6 manifests/train.parquet
|
| 30 |
+
ec6dc3dceb32b3e1ef073e6573715f8d707969dc06edb1e315d9a27b540c114f manifests/train_members.jsonl
|
| 31 |
+
705ee745dad4728f106fb48878638dbbc8337fef71c741d1f12111502298f964 manifests/train_shards.json
|
| 32 |
+
d359bcd1a62054b0d8c683257154b4108d997259d2e70805d854fe18a2896b63 manifests/training_validation.json
|
manifests/training_validation.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
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|
|
|
| 1 |
+
{"alignment_sha256":5000,"all_original_caption_hashes_reverified":true,"all_original_video_hashes_reverified":true,"all_published_json_portable":true,"all_selected_quality_keep":true,"all_video_headers_valid":true,"caption_method_v1_verified":true,"caption_sha256":5000,"cases":5000,"complete":true,"elapsed_seconds":117.47,"heldout_segment_overlap":0,"neutral_public_identifiers":true,"original_caption_bytes_preserved":true,"original_video_bytes_preserved":true,"passed":true,"private_identifier_scan_passed":true,"shards":25,"tar_members":25000,"tar_reproducibility":"USTAR, lexicographic selected IDs, fixed field order, mtime=0,uid=gid=0,mode0644,empty owner names; no compression","validated_cases":5000,"video_headers":10000,"video_sha256":10000}
|
metadata/README.md
ADDED
|
@@ -0,0 +1,76 @@
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|
| 1 |
+
# Recording metadata
|
| 2 |
+
|
| 3 |
+
This release provides recorded controls, cameras, observed world state, static map geometry, and frame correspondence data for studying paired videos and rendering alternative proxy styles. It covers 21 recording sessions. The training subset contains 5,000 selected paired clips; metadata retains the wider sessions and temporal context.
|
| 4 |
+
|
| 5 |
+
## Files and extraction
|
| 6 |
+
|
| 7 |
+
| Path | Contents |
|
| 8 |
+
| --- | --- |
|
| 9 |
+
| `episodes/episode_###.tar.gz` | Controls, cameras, world observations, timing, available Parquet tables, and proxy frame/scene metadata |
|
| 10 |
+
| `maps/scene_001.tar.gz` | Static placements, spatial databases, collision meshes, materials, and water |
|
| 11 |
+
| `source_index/global_index.sqlite3` | Portable frame, segment, source, and cross-view correspondence index |
|
| 12 |
+
| `renderer/proxy_source_5_5_1.zip` | Minimal renderer source package |
|
| 13 |
+
| `renderer/environment/requirements.lock` | Recorded Python dependency versions |
|
| 14 |
+
| `integrity/*.members.jsonl.gz` | SHA-256 and byte size of every archive member |
|
| 15 |
+
| `catalog.json` | Artifact sizes, hashes, and archive counts |
|
| 16 |
+
| `schema.json` | Main fields and timing conventions |
|
| 17 |
+
|
| 18 |
+
Extract recording and map archives under `source/`:
|
| 19 |
+
|
| 20 |
+
```bash
|
| 21 |
+
mkdir -p source
|
| 22 |
+
tar -xzf metadata/episodes/episode_001.tar.gz -C source
|
| 23 |
+
tar -xzf metadata/maps/scene_001.tar.gz -C source
|
| 24 |
+
```
|
| 25 |
+
|
| 26 |
+
This creates `source/recordings/episode_001/` and `source/worlds/scene_001/`. Database paths are relative to `source/`. Paths inside recording JSON are relative to the release root. Original long-form RGB/proxy videos and audio are omitted; their source identities and timing remain in the index, while selected videos are in the training archives.
|
| 27 |
+
|
| 28 |
+
Some preserved recording manifests still name historical validation reports or derived directory indices. Those diagnostic files are excluded from this public release. Use the released SQLite index, member integrity manifests, and JSONL observations for inspection and replay. Source video paths in the index are provenance references and are not expected to resolve to long-form media in this release.
|
| 29 |
+
|
| 30 |
+
## Controls, cameras, and world state
|
| 31 |
+
|
| 32 |
+
`recordings/<episode>/.spool/agents/<agent>/client.jsonl` is the authoritative client stream. Each row contains episode, agent, sample, frame, and clock identifiers, plus:
|
| 33 |
+
|
| 34 |
+
- `action`: movement/look axes; jump, sprint, crouch, interaction, vehicle entry/exit, primary/secondary controls, and available keyboard/mouse input. Button states distinguish `pressed`, `released`, and `held`.
|
| 35 |
+
- `camera`: rendered camera position, rotation, field of view, projection rays, clip planes, resolution, and frame counter.
|
| 36 |
+
- `agent_state`, `subject_observation`, and `scene_observation`: transforms, motion, appearance, coarse body observations, and nearby entities with availability/completeness flags.
|
| 37 |
+
|
| 38 |
+
`recordings/<episode>/.spool/world_state.jsonl` contains server observations: sample sequence, monotonic time, environment, agents, vehicles, pedestrians, objects, task state, relations, and lifecycle events. Preserve nulls and availability flags. Missing data does not imply zero or an absent entity.
|
| 39 |
+
|
| 40 |
+
Where available, `agents/<agent>/*.parquet` and `server/*.parquet` provide fixed identifier columns and a JSON `payload_json` column. Parquet is not present for every session; authoritative JSONL streams cover all 21.
|
| 41 |
+
|
| 42 |
+
## Timing and joins
|
| 43 |
+
|
| 44 |
+
Nanosecond fields use integer nanoseconds; `_ms` fields use milliseconds. Capture and simulation monotonic times remain available for joins. In-game environment time is retained. Collection wall-clock fields are omitted.
|
| 45 |
+
|
| 46 |
+
Processed clips preserve 124 frames at 24 FPS, nominally 5.1667 seconds. Per-clip alignments connect left/right output frames to numeric `frame_id` and source segment. In SQLite:
|
| 47 |
+
|
| 48 |
+
- `frames.frame_id` identifies an indexed source frame.
|
| 49 |
+
- `source_id` plus `rgb_decode_index` identifies an original source-video frame.
|
| 50 |
+
- `proxy_frame_index` selects the matching RGB/proxy frame within a segment.
|
| 51 |
+
- `world_capture_tick` and client sample identifiers connect frames to observations.
|
| 52 |
+
- `cross_view` records the nearest usable other-view frame in the same session and clock domain, with signed difference and a 75 ms threshold.
|
| 53 |
+
|
| 54 |
+
Cross-view correspondence is a clock estimate, not independent visual synchronization ground truth. Equal frame numbers do not imply matched views. `status=estimated_alignment` marks usable indexed frames; other statuses retain missing-data evidence.
|
| 55 |
+
|
| 56 |
+
## Map and proxy geometry
|
| 57 |
+
|
| 58 |
+
The map includes placements, static spatial SQLite data, heightmap, collision databases/indices, compressed triangle meshes, materials, and water geometry. GTA asset names and relative game-internal archive paths are retained as resource identifiers. Mesh records contain nine little-endian float32 values, one uint16 material, and one uint16 flags field, totaling 40 bytes.
|
| 59 |
+
|
| 60 |
+
GTA V and its game assets are third-party material. Their presence and resource names provide attribution and scientific context; this metadata documentation does not grant or invent a license for those assets.
|
| 61 |
+
|
| 62 |
+
Per-segment `scene_*.json` files record static scene selection and geometry policy. `frames.jsonl`, `source_frames.jsonl`, `source_alignment.jsonl`, `compiler_manifest.json`, and appearance records retain rendering/alignment details. Underlying world/version hashes are scientific identifiers; use the release member integrity manifests to verify rewritten public files.
|
| 63 |
+
|
| 64 |
+
## Public identifiers and exclusions
|
| 65 |
+
|
| 66 |
+
Sessions use `episode_001` through `episode_021`; the map uses `scene_001`. Server clock domains use consistent `clock_###` identifiers shared with training alignments. Other client/clock identifiers use stable pseudonyms. Numeric simulation, entity, frame, segment, and sample identifiers remain available for joins.
|
| 67 |
+
|
| 68 |
+
Public metadata removes collection wall-clock fields, workstation paths, machine/client UUID strings, authentication values, historical recovery manifests, incomplete sidecars, runtime logs, and operational documentation. This curated representation is not a byte-identical recording-directory export. The private identity map is not distributed. Archives are checked for known private identifiers and field patterns used by this pipeline; this is not a claim that all potentially identifying visual content has been removed.
|
| 69 |
+
|
| 70 |
+
## Scope and limitations
|
| 71 |
+
|
| 72 |
+
The observations and renderer support alternative proxy colors, geometry conventions, shading, and camera visualizations. Arbitrary new player actions require a simulator or learned dynamics model; recorded trajectories do not establish counterfactual world evolution.
|
| 73 |
+
|
| 74 |
+
The map is an exported installed scene and does not recover every recording's dynamic interior/map-layer state. World completeness depends on available observations. Human proxies primarily encode root motion/coarse orientation; missing articulation is not reconstructed. Source limitations include some log-pile geometry, roof/foot occlusion, barriers, and vegetation detail. Vehicle occupant smoothing changes display transforms while retaining observations.
|
| 75 |
+
|
| 76 |
+
See `docs/RENDERING.md` and the release examples for frame inspection and reconstruction.
|
metadata/catalog.json
ADDED
|
@@ -0,0 +1,552 @@
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|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
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|
|
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|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "cocode-metadata-catalog-v1",
|
| 3 |
+
"recording_count": 21,
|
| 4 |
+
"world_count": 1,
|
| 5 |
+
"source_media_included": false,
|
| 6 |
+
"source_index": {
|
| 7 |
+
"path": "source_index/global_index.sqlite3",
|
| 8 |
+
"path_base": "source",
|
| 9 |
+
"sources": 1301,
|
| 10 |
+
"segments": 1992,
|
| 11 |
+
"frames": 2782278,
|
| 12 |
+
"cross_view_rows": 2782278
|
| 13 |
+
},
|
| 14 |
+
"archive_count": 22,
|
| 15 |
+
"archive_member_count": 74581,
|
| 16 |
+
"archive_uncompressed_member_bytes": 443818428937,
|
| 17 |
+
"artifact_count": 50,
|
| 18 |
+
"artifact_bytes": 70616871465,
|
| 19 |
+
"extraction_root": "source",
|
| 20 |
+
"exclusion_counts": {
|
| 21 |
+
"runtime_or_incomplete_record": 5997,
|
| 22 |
+
"original_media_or_preview": 15147,
|
| 23 |
+
"historical_validation_and_receipts": 9981,
|
| 24 |
+
"historical_recovery_metadata": 253,
|
| 25 |
+
"historical_diagnostics": 21
|
| 26 |
+
},
|
| 27 |
+
"artifacts": [
|
| 28 |
+
{
|
| 29 |
+
"path": "README.md",
|
| 30 |
+
"bytes": 7168,
|
| 31 |
+
"sha256": "b88739036e1c5b2326e61e48406db2ae99fd3c87199bcbebc967b1429edb5b45"
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"path": "episode_index.json",
|
| 35 |
+
"bytes": 3152,
|
| 36 |
+
"sha256": "601688f286a2cb6eaedfaac520604c58f771bf6d54f930bd1e0bf6fdc7ea6f10"
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"id": "episode_001",
|
| 40 |
+
"path": "episodes/episode_001.tar.gz",
|
| 41 |
+
"bytes": 129849954,
|
| 42 |
+
"sha256": "8121b376b05e07f776e062fa7bc4e7262892a4bdb9e48b01301a79f818570963",
|
| 43 |
+
"member_count": 248,
|
| 44 |
+
"uncompressed_member_bytes": 1132335603,
|
| 45 |
+
"member_integrity_path": "integrity/episode_001.members.jsonl.gz",
|
| 46 |
+
"privacy_scan": "passed",
|
| 47 |
+
"excluded_categories": {
|
| 48 |
+
"runtime_or_incomplete_record": 43,
|
| 49 |
+
"original_media_or_preview": 80,
|
| 50 |
+
"historical_validation_and_receipts": 71,
|
| 51 |
+
"historical_recovery_metadata": 10,
|
| 52 |
+
"historical_diagnostics": 1
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"id": "episode_002",
|
| 57 |
+
"path": "episodes/episode_002.tar.gz",
|
| 58 |
+
"bytes": 608571915,
|
| 59 |
+
"sha256": "faa8fafcd5a28af3869bcc46675d73dd2f31b2a1f77ccf58d3f4c8631687aef7",
|
| 60 |
+
"member_count": 963,
|
| 61 |
+
"uncompressed_member_bytes": 4439834510,
|
| 62 |
+
"member_integrity_path": "integrity/episode_002.members.jsonl.gz",
|
| 63 |
+
"privacy_scan": "passed",
|
| 64 |
+
"excluded_categories": {
|
| 65 |
+
"runtime_or_incomplete_record": 148,
|
| 66 |
+
"original_media_or_preview": 245,
|
| 67 |
+
"historical_validation_and_receipts": 246,
|
| 68 |
+
"historical_recovery_metadata": 14,
|
| 69 |
+
"historical_diagnostics": 1
|
| 70 |
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|
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| 514 |
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| 515 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 552 |
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|
metadata/episode_index.json
ADDED
|
@@ -0,0 +1,109 @@
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"episodes": [
|
| 3 |
+
{
|
| 4 |
+
"episode_id": "episode_001",
|
| 5 |
+
"source_root": "source/recordings/episode_001",
|
| 6 |
+
"archive": "episodes/episode_001.tar.gz"
|
| 7 |
+
},
|
| 8 |
+
{
|
| 9 |
+
"episode_id": "episode_002",
|
| 10 |
+
"source_root": "source/recordings/episode_002",
|
| 11 |
+
"archive": "episodes/episode_002.tar.gz"
|
| 12 |
+
},
|
| 13 |
+
{
|
| 14 |
+
"episode_id": "episode_003",
|
| 15 |
+
"source_root": "source/recordings/episode_003",
|
| 16 |
+
"archive": "episodes/episode_003.tar.gz"
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"episode_id": "episode_004",
|
| 20 |
+
"source_root": "source/recordings/episode_004",
|
| 21 |
+
"archive": "episodes/episode_004.tar.gz"
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"episode_id": "episode_005",
|
| 25 |
+
"source_root": "source/recordings/episode_005",
|
| 26 |
+
"archive": "episodes/episode_005.tar.gz"
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"episode_id": "episode_006",
|
| 30 |
+
"source_root": "source/recordings/episode_006",
|
| 31 |
+
"archive": "episodes/episode_006.tar.gz"
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"episode_id": "episode_007",
|
| 35 |
+
"source_root": "source/recordings/episode_007",
|
| 36 |
+
"archive": "episodes/episode_007.tar.gz"
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"episode_id": "episode_008",
|
| 40 |
+
"source_root": "source/recordings/episode_008",
|
| 41 |
+
"archive": "episodes/episode_008.tar.gz"
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"episode_id": "episode_009",
|
| 45 |
+
"source_root": "source/recordings/episode_009",
|
| 46 |
+
"archive": "episodes/episode_009.tar.gz"
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"episode_id": "episode_010",
|
| 50 |
+
"source_root": "source/recordings/episode_010",
|
| 51 |
+
"archive": "episodes/episode_010.tar.gz"
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"episode_id": "episode_011",
|
| 55 |
+
"source_root": "source/recordings/episode_011",
|
| 56 |
+
"archive": "episodes/episode_011.tar.gz"
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"episode_id": "episode_012",
|
| 60 |
+
"source_root": "source/recordings/episode_012",
|
| 61 |
+
"archive": "episodes/episode_012.tar.gz"
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"episode_id": "episode_013",
|
| 65 |
+
"source_root": "source/recordings/episode_013",
|
| 66 |
+
"archive": "episodes/episode_013.tar.gz"
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"episode_id": "episode_014",
|
| 70 |
+
"source_root": "source/recordings/episode_014",
|
| 71 |
+
"archive": "episodes/episode_014.tar.gz"
|
| 72 |
+
},
|
| 73 |
+
{
|
| 74 |
+
"episode_id": "episode_015",
|
| 75 |
+
"source_root": "source/recordings/episode_015",
|
| 76 |
+
"archive": "episodes/episode_015.tar.gz"
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"episode_id": "episode_016",
|
| 80 |
+
"source_root": "source/recordings/episode_016",
|
| 81 |
+
"archive": "episodes/episode_016.tar.gz"
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"episode_id": "episode_017",
|
| 85 |
+
"source_root": "source/recordings/episode_017",
|
| 86 |
+
"archive": "episodes/episode_017.tar.gz"
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"episode_id": "episode_018",
|
| 90 |
+
"source_root": "source/recordings/episode_018",
|
| 91 |
+
"archive": "episodes/episode_018.tar.gz"
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"episode_id": "episode_019",
|
| 95 |
+
"source_root": "source/recordings/episode_019",
|
| 96 |
+
"archive": "episodes/episode_019.tar.gz"
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"episode_id": "episode_020",
|
| 100 |
+
"source_root": "source/recordings/episode_020",
|
| 101 |
+
"archive": "episodes/episode_020.tar.gz"
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"episode_id": "episode_021",
|
| 105 |
+
"source_root": "source/recordings/episode_021",
|
| 106 |
+
"archive": "episodes/episode_021.tar.gz"
|
| 107 |
+
}
|
| 108 |
+
]
|
| 109 |
+
}
|
metadata/renderer/environment/requirements.lock
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
annotated-doc==0.0.5
|
| 2 |
+
annotated-types==0.8.0
|
| 3 |
+
anyio==4.15.1
|
| 4 |
+
attrs==26.1.0
|
| 5 |
+
av==16.1.0
|
| 6 |
+
certifi==2026.7.22
|
| 7 |
+
click==8.5.0
|
| 8 |
+
coverage==7.16.2
|
| 9 |
+
fastapi==0.143.0
|
| 10 |
+
glcontext==3.1.0
|
| 11 |
+
h11==0.16.0
|
| 12 |
+
httpcore==1.0.9
|
| 13 |
+
httptools==0.9.0
|
| 14 |
+
httpx==0.28.1
|
| 15 |
+
idna==3.20
|
| 16 |
+
iniconfig==2.3.1
|
| 17 |
+
jsonschema==4.26.0
|
| 18 |
+
jsonschema-specifications==2025.9.1
|
| 19 |
+
moderngl==5.13.0
|
| 20 |
+
numpy==2.4.6
|
| 21 |
+
opencv-python-headless==4.14.0.94
|
| 22 |
+
opentelemetry-api==1.45.1
|
| 23 |
+
packaging==26.3
|
| 24 |
+
pluggy==1.6.0
|
| 25 |
+
pyarrow==19.0.1
|
| 26 |
+
pydantic==2.14.1
|
| 27 |
+
pydantic_core==2.50.1
|
| 28 |
+
Pygments==2.21.0
|
| 29 |
+
pytest==8.4.2
|
| 30 |
+
pytest-cov==6.3.0
|
| 31 |
+
python-dotenv==1.2.4
|
| 32 |
+
PyYAML==6.0.3
|
| 33 |
+
referencing==0.37.0
|
| 34 |
+
rpds-py==2026.9.1
|
| 35 |
+
ruff==0.17.0
|
| 36 |
+
starlette==1.8.0
|
| 37 |
+
typing-inspection==0.4.4
|
| 38 |
+
typing_extensions==4.16.0
|
| 39 |
+
uvicorn==0.54.0
|
| 40 |
+
uvloop==0.23.0
|
| 41 |
+
watchfiles==1.3.0
|
| 42 |
+
websockets==17.2
|
metadata/schema.json
ADDED
|
@@ -0,0 +1,87 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"version": "1.0",
|
| 3 |
+
"timing": {
|
| 4 |
+
"units": "nanoseconds unless field suffix says ms; original monotonic times retained for joins",
|
| 5 |
+
"video_time": "24 FPS processed grid; 124-frame clips",
|
| 6 |
+
"cross_view": "clock estimates within 75 ms, not visual ground truth",
|
| 7 |
+
"wall_clock": "removed"
|
| 8 |
+
},
|
| 9 |
+
"actions": {
|
| 10 |
+
"source": "recordings/<episode>/.spool/agents/<agent>/client.jsonl -> action",
|
| 11 |
+
"continuous": [
|
| 12 |
+
"move_forward",
|
| 13 |
+
"move_right",
|
| 14 |
+
"look_yaw_delta",
|
| 15 |
+
"look_pitch_delta"
|
| 16 |
+
],
|
| 17 |
+
"buttons": [
|
| 18 |
+
"jump",
|
| 19 |
+
"sprint",
|
| 20 |
+
"crouch",
|
| 21 |
+
"interact",
|
| 22 |
+
"enter_exit_vehicle",
|
| 23 |
+
"primary_action",
|
| 24 |
+
"secondary_action"
|
| 25 |
+
],
|
| 26 |
+
"button_state": [
|
| 27 |
+
"pressed",
|
| 28 |
+
"released",
|
| 29 |
+
"held"
|
| 30 |
+
],
|
| 31 |
+
"raw_inputs": [
|
| 32 |
+
"keyboard",
|
| 33 |
+
"mouse",
|
| 34 |
+
"raw_edges",
|
| 35 |
+
"availability"
|
| 36 |
+
]
|
| 37 |
+
},
|
| 38 |
+
"camera": {
|
| 39 |
+
"source": "client.jsonl -> camera",
|
| 40 |
+
"fields": [
|
| 41 |
+
"rendered_camera_position",
|
| 42 |
+
"rendered_camera_rotation",
|
| 43 |
+
"rendered_camera_fov",
|
| 44 |
+
"projection_rays",
|
| 45 |
+
"near_clip",
|
| 46 |
+
"far_clip",
|
| 47 |
+
"render_resolution",
|
| 48 |
+
"frame_counter"
|
| 49 |
+
]
|
| 50 |
+
},
|
| 51 |
+
"world_state": {
|
| 52 |
+
"source": "recordings/<episode>/.spool/world_state.jsonl",
|
| 53 |
+
"fields": [
|
| 54 |
+
"sample_seq",
|
| 55 |
+
"server_monotonic_ns",
|
| 56 |
+
"environment",
|
| 57 |
+
"agents",
|
| 58 |
+
"vehicles",
|
| 59 |
+
"peds",
|
| 60 |
+
"objects",
|
| 61 |
+
"task_state",
|
| 62 |
+
"relation_edges",
|
| 63 |
+
"entity_lifecycle_events"
|
| 64 |
+
]
|
| 65 |
+
},
|
| 66 |
+
"map": {
|
| 67 |
+
"root": "worlds/scene_001",
|
| 68 |
+
"files": [
|
| 69 |
+
"placements.jsonl.gz",
|
| 70 |
+
"static.sqlite3",
|
| 71 |
+
"heightmap.json",
|
| 72 |
+
"collision/collision.sqlite3",
|
| 73 |
+
"collision/collision-index.jsonl",
|
| 74 |
+
"collision/meshes/*.tri.gz",
|
| 75 |
+
"collision/materials.json",
|
| 76 |
+
"collision/water.json"
|
| 77 |
+
],
|
| 78 |
+
"mesh_format": "little_endian_9_float32_uint16_material_uint16_flags_40_bytes"
|
| 79 |
+
},
|
| 80 |
+
"privacy": {
|
| 81 |
+
"episode_ids": "episode_001 ... episode_021",
|
| 82 |
+
"server_clock_domains": "clock_### shared with clip alignment",
|
| 83 |
+
"other_clock_and_client_ids": "consistent deterministic pseudonyms",
|
| 84 |
+
"numeric_simulation_identifiers": "preserved",
|
| 85 |
+
"historical_workstation_paths_and_wall_clock_fields": "removed"
|
| 86 |
+
}
|
| 87 |
+
}
|
metadata/validation.json
ADDED
|
@@ -0,0 +1,126 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "cocode-metadata-validation-v1",
|
| 3 |
+
"passed": true,
|
| 4 |
+
"recording_archives": 21,
|
| 5 |
+
"map_archives": 1,
|
| 6 |
+
"archive_member_count": 74581,
|
| 7 |
+
"all_archives_gzip_crc_valid": true,
|
| 8 |
+
"member_integrity_manifest_counts_valid": true,
|
| 9 |
+
"path_traversal_check": "passed",
|
| 10 |
+
"structural_privacy_transformation": "applied to JSON/JSONL/Parquet and SQLite",
|
| 11 |
+
"private_marker_scan": "passed for emitted text and SQLite binary",
|
| 12 |
+
"sqlite_secure_delete_and_vacuum": true,
|
| 13 |
+
"numeric_join_ids_preserved": true,
|
| 14 |
+
"cross_view_example_smoke": "passed by community example validation",
|
| 15 |
+
"archive_checks": [
|
| 16 |
+
{
|
| 17 |
+
"path": "episodes/episode_001.tar.gz",
|
| 18 |
+
"gzip_crc_check": "passed",
|
| 19 |
+
"bytes": 129849954
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"path": "episodes/episode_002.tar.gz",
|
| 23 |
+
"gzip_crc_check": "passed",
|
| 24 |
+
"bytes": 608571915
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"path": "episodes/episode_003.tar.gz",
|
| 28 |
+
"gzip_crc_check": "passed",
|
| 29 |
+
"bytes": 455277423
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"path": "episodes/episode_004.tar.gz",
|
| 33 |
+
"gzip_crc_check": "passed",
|
| 34 |
+
"bytes": 489602012
|
| 35 |
+
},
|
| 36 |
+
{
|
| 37 |
+
"path": "episodes/episode_005.tar.gz",
|
| 38 |
+
"gzip_crc_check": "passed",
|
| 39 |
+
"bytes": 1423094108
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"path": "episodes/episode_006.tar.gz",
|
| 43 |
+
"gzip_crc_check": "passed",
|
| 44 |
+
"bytes": 5354593492
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"path": "episodes/episode_007.tar.gz",
|
| 48 |
+
"gzip_crc_check": "passed",
|
| 49 |
+
"bytes": 5681537877
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"path": "episodes/episode_008.tar.gz",
|
| 53 |
+
"gzip_crc_check": "passed",
|
| 54 |
+
"bytes": 307912603
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"path": "episodes/episode_009.tar.gz",
|
| 58 |
+
"gzip_crc_check": "passed",
|
| 59 |
+
"bytes": 4057187729
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"path": "episodes/episode_010.tar.gz",
|
| 63 |
+
"gzip_crc_check": "passed",
|
| 64 |
+
"bytes": 7472198754
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"path": "episodes/episode_011.tar.gz",
|
| 68 |
+
"gzip_crc_check": "passed",
|
| 69 |
+
"bytes": 5305823217
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"path": "episodes/episode_012.tar.gz",
|
| 73 |
+
"gzip_crc_check": "passed"
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"path": "episodes/episode_013.tar.gz",
|
| 77 |
+
"gzip_crc_check": "passed",
|
| 78 |
+
"bytes": 813853245
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"path": "episodes/episode_014.tar.gz",
|
| 82 |
+
"gzip_crc_check": "passed",
|
| 83 |
+
"bytes": 1419346454
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"path": "episodes/episode_015.tar.gz",
|
| 87 |
+
"gzip_crc_check": "passed",
|
| 88 |
+
"bytes": 2316988679
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"path": "episodes/episode_016.tar.gz",
|
| 92 |
+
"gzip_crc_check": "passed",
|
| 93 |
+
"bytes": 296324769
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"path": "episodes/episode_017.tar.gz",
|
| 97 |
+
"gzip_crc_check": "passed",
|
| 98 |
+
"bytes": 4807542405
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"path": "episodes/episode_018.tar.gz",
|
| 102 |
+
"gzip_crc_check": "passed",
|
| 103 |
+
"bytes": 4900485394
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"path": "episodes/episode_019.tar.gz",
|
| 107 |
+
"gzip_crc_check": "passed",
|
| 108 |
+
"bytes": 2564853129
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"path": "episodes/episode_020.tar.gz",
|
| 112 |
+
"gzip_crc_check": "passed",
|
| 113 |
+
"bytes": 6233997358
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"path": "episodes/episode_021.tar.gz",
|
| 117 |
+
"gzip_crc_check": "passed",
|
| 118 |
+
"bytes": 3918012430
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"path": "maps/scene_001.tar.gz",
|
| 122 |
+
"gzip_crc_check": "passed",
|
| 123 |
+
"bytes": 1001185127
|
| 124 |
+
}
|
| 125 |
+
]
|
| 126 |
+
}
|
release_validation.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "cocode-world-release-validation-v1",
|
| 3 |
+
"release_date": "2026-11-11",
|
| 4 |
+
"passed": true,
|
| 5 |
+
"training": {
|
| 6 |
+
"clips": 5000,
|
| 7 |
+
"proxy_videos": 5000,
|
| 8 |
+
"target_videos": 5000,
|
| 9 |
+
"caption_v1_texts": 5000,
|
| 10 |
+
"shards": 25,
|
| 11 |
+
"frames_per_video": 124,
|
| 12 |
+
"fps": 24,
|
| 13 |
+
"original_video_and_caption_bytes_preserved": true,
|
| 14 |
+
"heldout_source_segment_overlap": 0
|
| 15 |
+
},
|
| 16 |
+
"metadata": {
|
| 17 |
+
"recording_episodes": 21,
|
| 18 |
+
"map_scenes": 1,
|
| 19 |
+
"client_control_camera_streams": 42,
|
| 20 |
+
"world_state_streams": 21,
|
| 21 |
+
"archive_members": 74581,
|
| 22 |
+
"gzip_archive_integrity_checks": 22
|
| 23 |
+
},
|
| 24 |
+
"joins": {
|
| 25 |
+
"view_frame_joins_checked": 1240000,
|
| 26 |
+
"episode_clock_frame_segment_and_timestamp_values_match": true
|
| 27 |
+
},
|
| 28 |
+
"public_identity_checks": {
|
| 29 |
+
"training_json_and_caption_members_scanned": 15000,
|
| 30 |
+
"video_container_and_stream_headers_checked": 10000,
|
| 31 |
+
"public_documents_and_renderer_checked": true,
|
| 32 |
+
"structural_metadata_normalization_applied": true,
|
| 33 |
+
"sqlite_old_identifier_pages_removed": true,
|
| 34 |
+
"private_mapping_distributed": false
|
| 35 |
+
},
|
| 36 |
+
"reading_examples": {
|
| 37 |
+
"first_and_last_clip_extraction_hashes_valid": true,
|
| 38 |
+
"huggingface_datasets_streaming_shards_checked": 2,
|
| 39 |
+
"rows_streamed": 400,
|
| 40 |
+
"recorded_world_and_client_join_example_passed": true,
|
| 41 |
+
"proxy_cpu_render_views_checked": 2,
|
| 42 |
+
"full_collision_gpu_render_revalidated": false
|
| 43 |
+
},
|
| 44 |
+
"verification_scope": "Local package integrity, public identifier normalization, reader compatibility, and source-byte preservation. Not a claim of exhaustive human visual review."
|
| 45 |
+
}
|