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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
schema_version: string
motion_uid: string
source: struct<dataset: string, source_id: string, source_path: string, source_format: string, license_famil (... 45 chars omitted)
child 0, dataset: string
child 1, source_id: string
child 2, source_path: string
child 3, source_format: string
child 4, license_family: string
child 5, citation_keys: list<item: string>
child 0, item: string
time: struct<fps: double, num_frames: int64, duration_sec: double, start_frame: int64, end_frame: int64>
child 0, fps: double
child 1, num_frames: int64
child 2, duration_sec: double
child 3, start_frame: int64
child 4, end_frame: int64
skeleton: struct<source_skeleton: string, canonical_skeleton: string, target_skeleton: string, coordinate_syst (... 50 chars omitted)
child 0, source_skeleton: string
child 1, canonical_skeleton: string
child 2, target_skeleton: string
child 3, coordinate_system: string
child 4, rotation_format: string
child 5, unit: string
annotations: list<item: struct<type: string, language: string, text: string>>
child 0, item: struct<type: string, language: string, text: string>
child 0, type: string
child 1, language: string
child 2, text: string
files: struct<source_snapshot: string, canonical_motion: string, vrm_positions: string, quality_report: str (... 22 chars omitted)
child 0, source_snapshot: string
child 1, canonical_motion: string
child 2, vrm_positions: string
child 3, quality_report: string
child 4
...
d 0, pairs_checked: int64
child 1, max_asymmetry: double
child 2, details: list<item: struct<pair: string, asymmetry_ratio: double>>
child 0, item: struct<pair: string, asymmetry_ratio: double>
child 0, pair: string
child 1, asymmetry_ratio: double
child 9, retarget_direction_error: struct<overall_mean_rad: double, overall_max_rad: double, overall_mean_deg: double, overall_max_deg: (... 92 chars omitted)
child 0, overall_mean_rad: double
child 1, overall_max_rad: double
child 2, overall_mean_deg: double
child 3, overall_max_deg: double
child 4, bones_evaluated: int64
child 5, joints_matched: int64
child 6, max_as_pct_of_full_rotation: double
child 10, per_bone_direction_errors: list<item: struct<bone: string, mean_rad: double, max_rad: double, std_rad: double, mean_deg: double (... 39 chars omitted)
child 0, item: struct<bone: string, mean_rad: double, max_rad: double, std_rad: double, mean_deg: double, max_deg: (... 27 chars omitted)
child 0, bone: string
child 1, mean_rad: double
child 2, max_rad: double
child 3, std_rad: double
child 4, mean_deg: double
child 5, max_deg: double
child 6, worst_frame: int64
child 11, status: string
processing: struct<version: string, codec: string>
child 0, version: string
child 1, codec: string
fbx_to_json_data_susu_retarget_maya/20250910/Human_0910_63-8_01: string
to
{'fbx_to_json_data_susu_retarget_maya/20250910/Human_0910_63-8_01': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, 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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
schema_version: string
motion_uid: string
source: struct<dataset: string, source_id: string, source_path: string, source_format: string, license_famil (... 45 chars omitted)
child 0, dataset: string
child 1, source_id: string
child 2, source_path: string
child 3, source_format: string
child 4, license_family: string
child 5, citation_keys: list<item: string>
child 0, item: string
time: struct<fps: double, num_frames: int64, duration_sec: double, start_frame: int64, end_frame: int64>
child 0, fps: double
child 1, num_frames: int64
child 2, duration_sec: double
child 3, start_frame: int64
child 4, end_frame: int64
skeleton: struct<source_skeleton: string, canonical_skeleton: string, target_skeleton: string, coordinate_syst (... 50 chars omitted)
child 0, source_skeleton: string
child 1, canonical_skeleton: string
child 2, target_skeleton: string
child 3, coordinate_system: string
child 4, rotation_format: string
child 5, unit: string
annotations: list<item: struct<type: string, language: string, text: string>>
child 0, item: struct<type: string, language: string, text: string>
child 0, type: string
child 1, language: string
child 2, text: string
files: struct<source_snapshot: string, canonical_motion: string, vrm_positions: string, quality_report: str (... 22 chars omitted)
child 0, source_snapshot: string
child 1, canonical_motion: string
child 2, vrm_positions: string
child 3, quality_report: string
child 4
...
d 0, pairs_checked: int64
child 1, max_asymmetry: double
child 2, details: list<item: struct<pair: string, asymmetry_ratio: double>>
child 0, item: struct<pair: string, asymmetry_ratio: double>
child 0, pair: string
child 1, asymmetry_ratio: double
child 9, retarget_direction_error: struct<overall_mean_rad: double, overall_max_rad: double, overall_mean_deg: double, overall_max_deg: (... 92 chars omitted)
child 0, overall_mean_rad: double
child 1, overall_max_rad: double
child 2, overall_mean_deg: double
child 3, overall_max_deg: double
child 4, bones_evaluated: int64
child 5, joints_matched: int64
child 6, max_as_pct_of_full_rotation: double
child 10, per_bone_direction_errors: list<item: struct<bone: string, mean_rad: double, max_rad: double, std_rad: double, mean_deg: double (... 39 chars omitted)
child 0, item: struct<bone: string, mean_rad: double, max_rad: double, std_rad: double, mean_deg: double, max_deg: (... 27 chars omitted)
child 0, bone: string
child 1, mean_rad: double
child 2, max_rad: double
child 3, std_rad: double
child 4, mean_deg: double
child 5, max_deg: double
child 6, worst_frame: int64
child 11, status: string
processing: struct<version: string, codec: string>
child 0, version: string
child 1, codec: string
fbx_to_json_data_susu_retarget_maya/20250910/Human_0910_63-8_01: string
to
{'fbx_to_json_data_susu_retarget_maya/20250910/Human_0910_63-8_01': Value('string')}
because column names don't match
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/parquet_and_info.py", line 1348, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
fbx_to_json_data_susu_retarget_maya/20250910/Human_0910_63-8_01 string |
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【表情:眼中带着期待和紧张】那…我就拭目以待,看看你的本事啦。 |
VIREA Demo Dataset
Demo data for the VIREA project — a VRM-native motion data infrastructure.
Contents
raw/ # Source motion data (subset of full datasets)
amass/ # AMASS motion capture (.npz)
babel/ # BABEL annotated motions (.npz)
beat/ # BEAT gesture dataset (.npz)
GRAB/ # GRAB object interaction (.npz)
humanml3d/ # HumanML3D position sequences (.parquet)
motionx/ # Motion-X SMPL-X motions (.npy)
SuSuInterActs/ # SuSuInterActs 6D body+hands (.npy)
processed/ # Pipeline output artifacts
canonical/ # Canonical VRM motion + quality reports
source/ # Source skeleton snapshots
Usage
# In the virea repository:
pip install huggingface_hub
python scripts/download_demo.py
# Then process and visualize:
python -m virea process --data-source demo
python -m virea serve --data-source demo
Structure
Each dataset contains ~100 samples selected for diversity. The processed artifacts include retargeted VRM positions, quality reports, and source skeleton snapshots for before/after comparison.
License
Dataset licenses are source-specific. This repository does not grant permission to redistribute third-party raw datasets. Use the original terms for AMASS, BABEL, BEAT, GRAB, HumanML3D, Motion-X, and SuSuInterActs.
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