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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 dataset

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fbx_to_json_data_susu_retarget_maya/20250910/Human_0910_63-8_01
string
【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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