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common-craft

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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ValueError
Message:      No valid stream found in input file. Is -1 of the desired media type?
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2431, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1953, in __iter__
                  batch = formatter.format_batch(pa_table)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 472, in format_batch
                  batch = self.python_features_decoder.decode_batch(batch)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 234, in decode_batch
                  return self.features.decode_batch(batch, token_per_repo_id=self.token_per_repo_id) if self.features else batch
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/features/features.py", line 2147, in decode_batch
                  decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id)
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/features/features.py", line 1409, in decode_nested_example
                  return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/features/audio.py", line 204, in decode_example
                  audio = AudioDecoder(f, stream_index=self.stream_index, sample_rate=self.sampling_rate)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/torchcodec/decoders/_audio_decoder.py", line 66, in __init__
                  core.add_audio_stream(
                File "/src/services/worker/.venv/lib/python3.12/site-packages/torch/_ops.py", line 829, in __call__
                  return self._op(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: No valid stream found in input file. Is -1 of the desired media type?

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common-craft

common-craft is a dataset of Minecraft survival gameplay videos curated for research on world modeling. It can be combined with scalable repositories such as Jasmine.

Overview

  • Total duration: ~5,000 hours
  • Content type: Survival-mode Minecraft Let's Plays
  • Source: YouTube videos and playlists (handpicked)
  • Format: Raw videos (.mp4 and .webm) at a resolution of 640x360 and 30 FPS along with full metadata

Structure 

common-craft/
├── <playlist_id>/
│   ├── metadata.json
│   ├── <video_id>.mp4
│   └── ...
├── single_videos/
│   ├── metadata.json
│   ├── <video_id>.mp4
│   └── ...
└── README.md

Data Selection

Videos were manually picked to ensure they are genuine survival mode Let's Plays (no creative mode showcases, minecraft-like games, or highlight reels).
Preference was given to playlists to capture coherent sequences (e.g., early game → exploration → advanced builds).

Processing and Usage

common-craft provides directly scraped videos in their raw form.
For world modeling or related tasks, we recommend filtering and preprocessing before training models.

For guidance on filtering such gameplay data, see the VPT paper (Baker et al., 2022).
We also provide a minimal data labeling tool and a preprocessing script for efficient video-to-array conversion.

Citation

If you use common-craft in your research, please cite our work:

@article{
    mahajan2025jasmine,
    title={Jasmine: A simple, performant and scalable JAX-based world modeling codebase},
    author={Mihir Mahajan and Alfred Nguyen and Franz Srambical and Stefan Bauer},
    journal = {p(doom) blog},
    year={2025},
    url={https://pdoom.org/jasmine.html},
    note = {https://pdoom.org/blog.html}
}
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