CoCode-World-Data / README.md
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metadata
language:
  - en
pretty_name: CoCode-World Data
size_categories:
  - 1K<n<10K
tags:
  - video
  - world-model
  - multi-view
  - multi-agent
  - proxy-rendering
  - game-world
configs:
  - config_name: train
    data_files:
      - split: train
        path: train/train-*.tar

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.