Dataset Viewer
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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:    KeyError
Message:      "There is no item named 'recording_20260225_165037/depth/000000.png' in the archive"
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 "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2543, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2061, in __iter__
                  batch = formatter.format_batch(pa_table)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 472, in format_batch
                  batch = self.python_features_decoder.decode_batch(batch)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/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 "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2161, in decode_batch
                  decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id)
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1419, 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 "/usr/local/lib/python3.12/site-packages/datasets/features/image.py", line 188, in decode_example
                  with xopen(path, "rb", download_config=download_config) as f:
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 977, in xopen
                  file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/fsspec/core.py", line 135, in open
                  return self.__enter__()
                         ^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/fsspec/core.py", line 103, in __enter__
                  f = self.fs.open(self.path, mode=mode)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/fsspec/spec.py", line 1293, in open
                  f = self._open(
                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/fsspec/implementations/zip.py", line 129, in _open
                  out = self.zip.open(path, mode.strip("b"), force_zip64=self.force_zip_64)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/zipfile/__init__.py", line 1608, in open
                  zinfo = self.getinfo(name)
                          ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/zipfile/__init__.py", line 1536, in getinfo
                  raise KeyError(
              KeyError: "There is no item named 'recording_20260225_165037/depth/000000.png' in the archive"

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

FusionX Multimodal Sample Dataset

This repository contains a sample multimodal dataset including:

  • RGB camera frames (30 Hz, JPG)
  • Depth images (16-bit PNG in millimeter)
  • Tactile glove data (aligned per-frame in Parquet)
  • Per-recording metadata

Structure

To reduce API rate limits and improve upload stability, each recording is stored as a ZIP archive:

Each ZIP file contains a single recording directory structured as follows:

recording_YYYYMMDD_HHMMSS/
├── frames.parquet          # Per-frame aligned metadata + tactile arrays
├── rgb/                    # 30 Hz RGB camera frames (JPEG)
│   ├── 000000.jpg
│   ├── 000001.jpg
│   └── ...
└── depth/                  # 16-bit depth images in millimeters (PNG)
    ├── 000000.png
    ├── 000001.png
    └── ...

How to Use

  1. Download the repository (or use huggingface_hub.snapshot_download)
  2. Unzip all files inside zips/

After Extraction

After unzipping all archives inside the zips/ directory, you will obtain the original dataset structure:

dataset/
├── dataset_info.json
└── recording_YYYYMMDD_HHMMSS/
    ├── frames.parquet
    ├── rgb/
    │   ├── 000000.jpg
    │   └── ...
    └── depth/
        ├── 000000.png
        └── ...

Each recording_* directory represents a single synchronized capture session containing:

  • Vision data (RGB + depth)
  • Tactile glove data
  • Frame-level alignment metadata

License

Creative Commons Attribution 4.0 (CC BY 4.0)

You are free to:

  • Use
  • Share
  • Modify
  • Use commercially

As long as attribution is provided.

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