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Auto-converted to Parquet Duplicate
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:    CastError
Message:      Couldn't cast
episode_id: int32
frame_idx: int32
jpeg: binary
depth: binary
seg: binary
pose: fixed_size_list<element: double>[16]
  child 0, element: double
intrinsics: fixed_size_list<element: float>[4]
  child 0, element: float
gravity: fixed_size_list<element: float>[3]
  child 0, element: float
scene: string
trajectory: string
dataset: string
depth_type: string
camera_model: string
image_h: int32
image_w: int32
num_frames_in_episode: int32
to
{'episode_id': Value('int32'), 'frame_idx': Value('int32'), 'jpeg': Value('binary'), 'depth': List(Value('float32')), 'seg': List(Value('uint16')), 'pose': List(Value('float64')), 'intrinsics': List(Value('float32')), 'gravity': List(Value('float32')), 'scene': Value('string'), 'trajectory': Value('string'), 'dataset': Value('string'), 'camera_model': Value('string'), 'image_h': Value('int32'), 'image_w': Value('int32'), 'num_frames_in_episode': Value('int32')}
because column names don't match
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 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 209, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 147, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              episode_id: int32
              frame_idx: int32
              jpeg: binary
              depth: binary
              seg: binary
              pose: fixed_size_list<element: double>[16]
                child 0, element: double
              intrinsics: fixed_size_list<element: float>[4]
                child 0, element: float
              gravity: fixed_size_list<element: float>[3]
                child 0, element: float
              scene: string
              trajectory: string
              dataset: string
              depth_type: string
              camera_model: string
              image_h: int32
              image_w: int32
              num_frames_in_episode: int32
              to
              {'episode_id': Value('int32'), 'frame_idx': Value('int32'), 'jpeg': Value('binary'), 'depth': List(Value('float32')), 'seg': List(Value('uint16')), 'pose': List(Value('float64')), 'intrinsics': List(Value('float32')), 'gravity': List(Value('float32')), 'scene': Value('string'), 'trajectory': Value('string'), 'dataset': Value('string'), 'camera_model': Value('string'), 'image_h': Value('int32'), 'image_w': Value('int32'), 'num_frames_in_episode': Value('int32')}
              because column names don't match

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hypersim-episodes-v3-parquet

Per-frame Parquet dataset for ReCAST tracker training.

Schema

One row per frame, grouped by episode_id. Arrow memory-mapped access enables reading specific frames without loading entire episodes.

Column Type Description
episode_id int32 Episode identifier
frame_idx int32 Frame index within episode
jpeg binary JPEG-encoded RGB frame
depth list<float32> Flat H×W depth map
seg list<uint16> Semantic segmentation (empty if absent)
pose fixed_size_list<float64, 16> 4×4 camera-to-world pose (vision convention)
intrinsics fixed_size_list<float32, 4> [fx, fy, cx, cy] in pixels
gravity fixed_size_list<float32, 3> World-frame gravity direction
camera_model string "pinhole" or "equidistant"

Conventions

  • Poses: Vision convention (X=right, Y=down, Z=forward). Normalized during conversion.
  • Depth: Projective z-depth (TartanAir) or ray distance (Hypersim). Check dataset column.
  • Gravity: Unit vector pointing downward in world frame.

Provenance

  • Dataset: hypersim
  • Episodes: 87
  • Frames: 6870
  • Created: 2026-03-15T06:59:46.630092+00:00
  • Converter: scripts/convert_episodes_to_parquet.py
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