iapple1/CoCode-World-Model
Image-to-Video • Updated • 28 •
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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1539, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 131, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1419, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 976, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 794, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1379, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1401, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1579, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
proxy.mp4 video | target.mp4 video | caption_v1.txt string | alignment.json dict | json dict | __key__ string | __url__ string |
|---|---|---|---|---|---|---|
Overall summary:
Two players stand facing each other in an industrial shipping yard area. agent_001 begins walking towards agent_000, passing by them and moving to the screen-left. agent_000 remains stationary throughout the clip, observing agent_001's movement.
Left-view timeline (camera owner: agent_000; times local... | {
"clock_domain": "clock_016",
"clock_max_abs_ns": 44021407,
"clock_p95_abs_ns": 37402513.849999994,
"episode_id": "episode_001",
"fps": 24,
"grid_ns": [
392666666666,
392708333333,
392750000000,
392791666666,
392833333333,
392875000000,
392916666666,
392958333333,
393000... | {
"alignment": {
"clock_domain": "clock_016",
"max_abs_ms": 44.021407,
"method": "common_server_time_grid",
"p95_abs_ms": 37.40251384999999,
"visually_verified": false
},
"caption": "Overall summary:\nTwo players stand facing each other in an industrial shipping yard area. agent_001 begins wal... | clip_000001 | hf://datasets/iapple1/CoCode-World-Data@29425041ea8eb52bb13b725378b68687abf9446d/train/train-00000.tar | ||
Overall summary:
Two players, agent_000 and agent_001, are located in an outdoor industrial port area with shipping containers and cranes. Agent_000, wearing a blue and yellow shirt, runs across the cracked concrete ground, while agent_001, in a red striped shirt, walks and stands nearby. The clip captures their moveme... | {
"clock_domain": "clock_016",
"clock_max_abs_ns": 39170570,
"clock_p95_abs_ns": 34999644.2,
"episode_id": "episode_001",
"fps": 24,
"grid_ns": [
418500000000,
418541666666,
418583333333,
418625000000,
418666666666,
418708333333,
418750000000,
418791666666,
418833333333,
... | {
"alignment": {
"clock_domain": "clock_016",
"max_abs_ms": 39.17057,
"method": "common_server_time_grid",
"p95_abs_ms": 34.999644200000006,
"visually_verified": false
},
"caption": "Overall summary:\nTwo players, agent_000 and agent_001, are located in an outdoor industrial port area with shi... | clip_000002 | hf://datasets/iapple1/CoCode-World-Data@29425041ea8eb52bb13b725378b68687abf9446d/train/train-00000.tar | ||
Overall summary:
Two players, agent_000 and agent_001, are on a concrete dock area near a large green ship. Agent_000 runs across the open space and stops to stand near agent_001, who remains stationary for most of the clip before walking forward.
Left-view timeline (camera owner: agent_000; times local to left view):... | {
"clock_domain": "clock_016",
"clock_max_abs_ns": 49178023,
"clock_p95_abs_ns": 37973011.55,
"episode_id": "episode_001",
"fps": 24,
"grid_ns": [
428833333333,
428875000000,
428916666666,
428958333333,
429000000000,
429041666666,
429083333333,
429125000000,
429166666666,... | {
"alignment": {
"clock_domain": "clock_016",
"max_abs_ms": 49.178023,
"method": "common_server_time_grid",
"p95_abs_ms": 37.973011549999995,
"visually_verified": false
},
"caption": "Overall summary:\nTwo players, agent_000 and agent_001, are on a concrete dock area near a large green ship. A... | clip_000003 | hf://datasets/iapple1/CoCode-World-Data@29425041ea8eb52bb13b725378b68687abf9446d/train/train-00000.tar | ||
"Overall summary:\nIn an outdoor industrial port area, agent_000 (blue shirt) walks away from agent_(...TRUNCATED) | {"clock_domain":"clock_016","clock_max_abs_ns":56537649,"clock_p95_abs_ns":39269826.5,"episode_id":"(...TRUNCATED) | {"alignment":{"clock_domain":"clock_016","max_abs_ms":56.537649,"method":"common_server_time_grid","(...TRUNCATED) | clip_000004 | "hf://datasets/iapple1/CoCode-World-Data@29425041ea8eb52bb13b725378b68687abf9446d/train/train-00000.(...TRUNCATED) | ||
"Overall summary:\nIn an outdoor industrial port area, agent_000 (blue shirt) walks towards agent_00(...TRUNCATED) | {"clock_domain":"clock_016","clock_max_abs_ns":44245478,"clock_p95_abs_ns":36424401.8,"episode_id":"(...TRUNCATED) | {"alignment":{"clock_domain":"clock_016","max_abs_ms":44.245478,"method":"common_server_time_grid","(...TRUNCATED) | clip_000005 | "hf://datasets/iapple1/CoCode-World-Data@29425041ea8eb52bb13b725378b68687abf9446d/train/train-00000.(...TRUNCATED) | ||
"Overall summary:\nIn a sunny industrial port area, agent_000 (blue shirt) runs across the cracked p(...TRUNCATED) | {"clock_domain":"clock_016","clock_max_abs_ns":46433834,"clock_p95_abs_ns":39788077.49999999,"episod(...TRUNCATED) | {"alignment":{"clock_domain":"clock_016","max_abs_ms":46.433834,"method":"common_server_time_grid","(...TRUNCATED) | clip_000006 | "hf://datasets/iapple1/CoCode-World-Data@29425041ea8eb52bb13b725378b68687abf9446d/train/train-00000.(...TRUNCATED) | ||
"Overall summary:\nTwo players stand on a paved area at a shipping port, facing each other across a (...TRUNCATED) | {"clock_domain":"clock_016","clock_max_abs_ns":47660924,"clock_p95_abs_ns":38659599.55,"episode_id":(...TRUNCATED) | {"alignment":{"clock_domain":"clock_016","max_abs_ms":47.660924,"method":"common_server_time_grid","(...TRUNCATED) | clip_000007 | "hf://datasets/iapple1/CoCode-World-Data@29425041ea8eb52bb13b725378b68687abf9446d/train/train-00000.(...TRUNCATED) | ||
"Overall summary:\nTwo players, agent_000 and agent_001, stand in a garage workshop area with workbe(...TRUNCATED) | {"clock_domain":"clock_009","clock_max_abs_ns":73018051,"clock_p95_abs_ns":66174021.39999998,"episod(...TRUNCATED) | {"alignment":{"clock_domain":"clock_009","max_abs_ms":73.018051,"method":"common_server_time_grid","(...TRUNCATED) | clip_000008 | "hf://datasets/iapple1/CoCode-World-Data@29425041ea8eb52bb13b725378b68687abf9446d/train/train-00000.(...TRUNCATED) | ||
"Overall summary:\nTwo players stand in a garage workshop area near a workbench and a large metal sh(...TRUNCATED) | {"clock_domain":"clock_009","clock_max_abs_ns":67730278,"clock_p95_abs_ns":61785979.4,"episode_id":"(...TRUNCATED) | {"alignment":{"clock_domain":"clock_009","max_abs_ms":67.730278,"method":"common_server_time_grid","(...TRUNCATED) | clip_000009 | "hf://datasets/iapple1/CoCode-World-Data@29425041ea8eb52bb13b725378b68687abf9446d/train/train-00000.(...TRUNCATED) | ||
"Overall summary:\nTwo players, agent_000 and agent_001, are in a port area with a warehouse and a l(...TRUNCATED) | {"clock_domain":"clock_009","clock_max_abs_ns":70027306,"clock_p95_abs_ns":62353518.199999996,"episo(...TRUNCATED) | {"alignment":{"clock_domain":"clock_009","max_abs_ms":70.027306,"method":"common_server_time_grid","(...TRUNCATED) | clip_000010 | "hf://datasets/iapple1/CoCode-World-Data@29425041ea8eb52bb13b725378b68687abf9446d/train/train-00000.(...TRUNCATED) |
End of preview.
CoCode-World Data
Synchronized multi-view video data for multi-player world models
Project Page · Code · Model
Dataset overview
CoCode-World Data contains 5,000 paired training examples for synchronized two-player video generation. Each example includes a target RGB video, a corresponding 3D proxy video, an English caption, and frame alignment metadata.
The release also provides scene geometry, player actions, camera parameters, world-state observations, and a proxy rendering toolkit for exploring alternative scene representations.
Dataset structure
| Property | Description |
|---|---|
| Split | Training |
| Examples | 5,000 |
| Camera layout | Two views arranged side by side |
| View order | agent_000 on the left; agent_001 on the right |
| Resolution | 2560 × 720; 1280 × 720 per view |
| Duration | 124 frames at 24 FPS, approximately 5.17 seconds |
| Captions | English scene descriptions and per-view timelines |
| Storage | 25 TAR shards, each containing 200 examples |
Each example contains the following files:
<sample_id>.proxy.mp4
<sample_id>.target.mp4
<sample_id>.caption_v1.txt
<sample_id>.alignment.json
<sample_id>.json
The sample index is available as manifests/train.jsonl and manifests/train.parquet. It links each example to its shard, media, captions, and metadata.
Download and use
pip install -U huggingface_hub
hf download iapple1/CoCode-World-Data --repo-type dataset \
--include 'train/*' 'manifests/train.jsonl' \
--local-dir datasets/CoCode-World-Data
The usage guide provides extraction and streaming examples. To prepare the data for CoCode-World training, use the official code repository:
python scripts/prepare_training_data.py \
--dataset-dir datasets/CoCode-World-Data \
--output-dir datasets/prepared
See the training guide for caching and model training.
Scene metadata and rendering
Additional metadata covers 21 recording episodes and includes scene geometry, player controls, camera trajectories, world-state observations, and frame mappings. The accompanying proxy rendering toolkit supports alternative colors, materials, and geometric representations.
See the metadata overview and documentation for the available files and reconstruction workflow. Match the two views using the recorded timestamps and alignment records, and preserve their left/right camera assignment.
Collection and selection
The release is a selected subset of a larger paired-video collection. Examples were selected after automated quality screening, with coverage balanced across recording episodes. The target videos, proxy videos, and English captions are provided as recorded. The release is intended for training; the separate evaluation examples are provided in the code repository.
Intended use and limitations
The dataset supports research on multi-player world models, multi-view video generation, and scene-conditioned rendering. Automated screening does not guarantee that every example is free of artifacts. Scene metadata describes recorded trajectories and actions; it does not provide a simulator for arbitrary new action sequences.
Data rights
Game-derived videos and assets remain subject to the rights and terms of their respective owners. Software included with the dataset retains its accompanying license. Users are responsible for ensuring that their intended use complies with the applicable terms.
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