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4DCodeBench
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Dataset-Real-World

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The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 246, in _split_generators
                  raise ValueError(
                      "`file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files"
                  )
              ValueError: `file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files
              
              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/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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4DCodeBench-RealWorld

The 100 real-world cases of 4DCodeBench: a video of a physical event and a hand-annotated mask of the pixels that move in it. 23 of the videos cannot be redistributed; one script rebuilds them from their public sources.

Layout 

videos/<case>.mp4                      the reference video, as the benchmark reads it
annotations/<case>/dynamic_mask.npz    the dynamic mask
metadata.jsonl                         one row per case
scripts/                               prepare_videos.py and what it needs

135 MB of video and 95 MB of masks. Every video has at most 300 frames, at most 30 fps and a long side of at most 1280 px. dynamic_mask.npz holds mask, uint8 (frames, height, width) with 1 on a moving pixel, at the video's frame count and resolution.

Completing the videos 

pip install numpy opencv-python    # plus ffmpeg and ffprobe on PATH
python scripts/prepare_videos.py

The script downloads the 23 sources into downloads/ and writes videos/<case>.mp4 with the same steps that made the benchmark. Frame count, frame rate and resolution match exactly; pixels can differ slightly with the H.264 encoder. The benchmark's download_data.py runs this step itself.

Metadata

Each row of metadata.jsonl has case, dataset, availability (included, or script for the 23 rebuilt videos), source, width, height, fps, frames, categories (the materials involved) and description (the physical event). source is the URL of a web video and the file path inside its dataset otherwise; YouTube rows also carry channel, title and license.

Sources

dataset videos link
WISA-80K 33 https://github.com/360CVGroup/WISA
Web (Pexels, Mixkit, Pixabay, YouTube) 28 per video in metadata.jsonl
Physics-IQ 12 https://github.com/google-deepmind/physics-IQ-benchmark
ABC-130K 5 https://huggingface.co/datasets/XDOF/ABC-130k
T-REX 4 https://huggingface.co/datasets/zekaiwang/trex_dataset
Phys101 3 http://phys101.csail.mit.edu/
Phys-AD 3 https://guyao2023.github.io/Phys-AD/
Robo360 3 https://arxiv.org/abs/2312.06686
AgiBot World 2 https://huggingface.co/datasets/agibot-world/AgiBotWorld-Alpha
RoboCook 2 https://hshi74.github.io/robocook/
RoboCraft 2 http://hxu.rocks/robocraft/
ALOHA Unleashed 1 https://aloha-unleashed.github.io/
ManipArena 1 https://github.com/maniparena/maniparena-repo
TaskLevel-ILC 1 https://www.youtube.com/watch?v=FLiILOyQQbw

The five web videos from YouTube are used under CC BY, from the channels Morten Møller, Philip Yecko, ASMR City and Madly Satisfying.
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Paper for 4DCodeBench/Dataset-Real-World