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Datasets:
RuthBiney
/
Ampe-DB

Tasks:
Video Classification
Modalities:
Video
Languages:
English
Size:
n<1K
Tags:
human-activity-recognition
computer-vision
pose-estimation
multimodal
Ghana
Ampe
License:
Dataset card Data Studio Files
xet
 Community
Dataset Preview
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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 11 new columns ({'description', 'allowed_values_or_interpretation', 'unit', 'source', 'derivation', 'pandas_dtype', 'release_policy', 'verification_status', 'privacy_sensitivity', 'field', 'domain'}) and 3 missing columns ({'movement_relation', 'clip_id', 'movement_class'}).

This happened while the csv dataset builder was generating data using

hf://datasets/RuthBiney/Ampe-DB/metadata/ampe_db_v1_data_dictionary.csv (at revision 7ea4220dec30a1dfd7374a9e59079bfea946f21a), ['hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/annotations/ampe_db_v1_labels.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/metadata/ampe_db_v1_data_dictionary.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/metadata/ampe_db_v1_manifest.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/metadata/ampe_db_v1_schema.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/metadata/clip_participant_mapping.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/metadata/dataset_statistics.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/metadata/movement_distribution_summary.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/metadata/participant_pairs.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/metadata/participants.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/pose/left_left_C001.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/pose/left_left_C002.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/pose/left_left_C003.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/pose/left_left_C004.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/pose/left_left_C005.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/pose/left_left_C006.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/pose/left_left_C007.csv', 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'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C106.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C107.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C108.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C109.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C110.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C111.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C112.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C113.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C114.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C115.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C116.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C117.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C118.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C119.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C120.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C121.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C122.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C123.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C124.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C125.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C126.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C127.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C128.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C129.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C130.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C131.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C132.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C133.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C134.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C135.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C136.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C137.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C138.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C139.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C140.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C141.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C142.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C143.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C144.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C145.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C146.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C147.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C148.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C149.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C150.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C151.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C152.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C153.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C154.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C155.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C156.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C157.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C158.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C159.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C160.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C161.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C162.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C163.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C164.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C165.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C166.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C167.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C168.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C169.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C170.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C171.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C172.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C173.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C174.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C175.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C176.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C177.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C178.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C179.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C180.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C181.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C182.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C183.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C184.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C185.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C186.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C187.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C188.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C189.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/splits/duplicate_safe_fixed_split.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/splits/pair_heldout_cv_assignments.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/splits/pair_heldout_fold_mapping.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/splits/participant_heldout_binary_diagnostic.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/splits/participant_heldout_four_class_diagnostic.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 784, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 795, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              field: string
              domain: string
              pandas_dtype: string
              description: string
              unit: string
              allowed_values_or_interpretation: string
              source: string
              derivation: string
              verification_status: string
              release_policy: string
              privacy_sensitivity: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1654
              to
              {'clip_id': Value('string'), 'movement_class': Value('string'), 'movement_relation': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 11 new columns ({'description', 'allowed_values_or_interpretation', 'unit', 'source', 'derivation', 'pandas_dtype', 'release_policy', 'verification_status', 'privacy_sensitivity', 'field', 'domain'}) and 3 missing columns ({'movement_relation', 'clip_id', 'movement_class'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/RuthBiney/Ampe-DB/metadata/ampe_db_v1_data_dictionary.csv (at revision 7ea4220dec30a1dfd7374a9e59079bfea946f21a), ['hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/annotations/ampe_db_v1_labels.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/metadata/ampe_db_v1_data_dictionary.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/metadata/ampe_db_v1_manifest.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/metadata/ampe_db_v1_schema.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/metadata/clip_participant_mapping.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/metadata/dataset_statistics.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/metadata/movement_distribution_summary.csv', 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'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C114.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C115.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C116.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C117.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C118.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C119.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C120.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C121.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C122.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C123.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C124.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C125.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C126.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C127.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C128.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C129.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C130.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C131.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C132.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C133.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C134.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C135.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C136.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C137.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C138.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C139.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C140.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C141.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C142.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C143.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C144.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C145.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C146.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C147.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C148.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C149.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C150.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C151.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C152.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C153.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C154.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C155.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C156.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C157.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C158.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C159.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C160.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C161.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C162.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C163.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C164.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C165.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C166.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C167.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C168.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C169.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C170.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C171.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C172.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C173.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C174.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C175.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C176.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C177.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C178.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C179.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C180.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C181.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C182.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C183.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C184.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C185.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C186.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C187.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C188.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/skeleton/csv/keypoints_right_right_C189.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/splits/duplicate_safe_fixed_split.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/splits/pair_heldout_cv_assignments.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/splits/pair_heldout_fold_mapping.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/splits/participant_heldout_binary_diagnostic.csv', 'hf://datasets/RuthBiney/Ampe-DB@7ea4220dec30a1dfd7374a9e59079bfea946f21a/splits/participant_heldout_four_class_diagnostic.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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.

clip_id
string
movement_class
string
movement_relation
string
left_left_C001
left_left
same_leg_configuration
left_left_C002
left_left
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left_left_C003
left_left
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left_left_C004
left_left
same_leg_configuration
left_left_C005
left_left
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left_left_C006
left_left
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left_left_C007
left_left
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left_left_C008
left_left
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left_left_C009
left_left
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left_left_C010
left_left
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left_left_C011
left_left
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left_left_C012
left_left
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left_left_C013
left_left
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left_left_C014
left_left
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left_left_C015
left_left
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left_left_C016
left_left
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left_left_C017
left_left
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left_left_C018
left_left
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left_left_C019
left_left
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left_left_C020
left_left
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left_left_C021
left_left
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left_left_C022
left_left
same_leg_configuration
left_left_C023
left_left
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left_left_C024
left_left
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left_left_C025
left_left
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left_left_C026
left_left
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left_left_C027
left_left
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left_left_C028
left_left
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left_left_C029
left_left
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left_left_C030
left_left
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left_left_C031
left_left
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left_left_C032
left_left
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left_left_C033
left_left
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left_left_C034
left_left
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left_left_C035
left_left
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left_left_C036
left_left
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left_left_C037
left_left
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left_left_C038
left_left
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left_left_C039
left_left
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left_left_C040
left_left
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left_left_C041
left_left
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left_left_C042
left_left
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left_left_C043
left_left
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left_left_C044
left_left
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left_left_C045
left_left
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left_left_C046
left_left
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left_left_C047
left_left
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left_left_C048
left_left
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left_left_C049
left_left
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left_left_C050
left_left
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left_left_C051
left_left
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left_left_C052
left_left
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left_left_C053
left_left
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left_left_C054
left_left
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left_left_C055
left_left
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left_left_C056
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left_left_C057
left_left
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left_left_C058
left_left
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left_left_C059
left_left
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left_left_C060
left_left
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left_left_C061
left_left
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left_left_C062
left_left
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left_left_C063
left_left
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left_left_C064
left_left
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left_left_C065
left_left
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left_left_C066
left_left
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left_left_C067
left_left
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left_left_C068
left_left
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left_left_C069
left_left
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left_left_C070
left_left
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left_left_C071
left_left
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left_left_C072
left_left
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left_left_C073
left_left
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left_left_C074
left_left
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left_left_C075
left_left
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left_left_C076
left_left
same_leg_configuration
left_left_C077
left_left
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left_left_C078
left_left
same_leg_configuration
left_left_C079
left_left
same_leg_configuration
left_left_C080
left_left
same_leg_configuration
left_left_C081
left_left
same_leg_configuration
left_left_C082
left_left
same_leg_configuration
left_left_C083
left_left
same_leg_configuration
left_left_C084
left_left
same_leg_configuration
left_left_C085
left_left
same_leg_configuration
left_left_C086
left_left
same_leg_configuration
left_left_C087
left_left
same_leg_configuration
left_left_C088
left_left
same_leg_configuration
left_left_C089
left_left
same_leg_configuration
left_left_C090
left_left
same_leg_configuration
left_left_C091
left_left
same_leg_configuration
left_left_C092
left_left
same_leg_configuration
left_left_C093
left_left
same_leg_configuration
left_left_C094
left_left
same_leg_configuration
left_left_C095
left_left
same_leg_configuration
left_left_C096
left_left
same_leg_configuration
left_left_C097
left_left
same_leg_configuration
left_left_C098
left_left
same_leg_configuration
left_left_C099
left_left
same_leg_configuration
left_left_C100
left_left
same_leg_configuration
End of preview.

Ampe-DB V1

A Dataset for Human Activity and Interaction Analysis Using the Ghanaian Game Ampe

Dataset repository: https://huggingface.co/datasets/RuthBiney/Ampe-DB
Version: 1.0.0
Research area: Human Activity Recognition, Human Interaction Analysis, Computer Vision, Multimodal Learning
Origin: Ghana
Research authors: Ruth Senior Biney and Isaac Kojo Yedonu Aboah
Contact: ruthbiney148@gmail.com
Release: October 2026
License: Ampe-DB Research Use License Notice

1. Dataset Overview

Ampe-DB is a culturally grounded multimodal dataset of segmented dyadic interactions from Ampe, a Ghanaian game built around rhythmic jumping, clapping, and coordinated leg choices.

The dataset was developed to support reproducible research on paired human movement while preserving the cultural context of the game and the relational structure of interactions between players.

Ampe-DB V1 provides RGB video with synchronized audio, normalized two-person pose data, pose-derived skeleton outputs, verified movement-configuration labels, pseudonymous participant metadata, and predefined benchmark protocols.

The dataset supports research in human activity recognition, interaction analysis, multimodal learning, and generalization across participants and participant pairs.

The complete V1 research dataset is available through this repository, together with its documentation and SHA-256 integrity register.

2. Dataset at a Glance

Characteristic Ampe-DB V1
Canonical interaction records 637
Unique RGB/audio SHA-256 hashes 557
Participants 15 (pseudonymized)
Unordered participant pairs 11
Ordered participant-pair configurations 14
Verified movement classes 4
RGB videos with synchronized audio 637
Canonical normalized pose CSV files 637
Skeleton keypoint CSV files 637
Skeleton keypoint JSON files 637
Skeleton visualization videos 637
Total primary dataset files 3,185
Exact-duplicate groups 78
Records belonging to duplicate groups 158
Redundant records beyond unique media 80

Important: The 637 canonical records must not be interpreted as 637 independent underlying RGB sequences. The collection contains 557 unique complete-file RGB/audio hashes.

Primary Data Collections

Directory Contents Files
videos/ Canonical RGB videos with embedded audio 637
pose/ Canonical normalized two-person pose CSVs 637
skeleton/videos/ Two-person skeleton visualization MP4s 637
skeleton/csv/ Pixel-coordinate skeleton keypoint CSVs 637
skeleton/json/ Skeleton keypoint JSONs 637
Total 3,185

All five collections have been published. The final SHA-256 register is provided separately in the checksums/ directory.

3. Movement Classes and Labels

The primary four-class movement target consists of:

Movement class Records
left_left 200
left_right 134
right_left 114
right_right 189
Total 637

A deterministic binary target is also provided:

Movement relation Definition Records
same_leg_configuration left_left or right_right 389
different_leg_configuration left_right or right_left 248

Important Semantic Limitation

The historical ordering of movement tokens has not been independently validated as a mapping to player_1 and player_2.

For example, left_right should not be interpreted as verified evidence that player_1 selected left while player_2 selected right.

The four-class configuration is verified. The historical token-to-player role mapping is not.

4. Dataset Modalities

4.1 RGB Video

Ampe-DB contains 637 segmented RGB video clips at a resolution of 1920 × 1080 pixels.

Frame rates vary across the collection:

Frame rate Number of clips
30 FPS 623
24 FPS 12
60 FPS 2

Sequence lengths are variable:

  • Minimum: 27 frames
  • Median: 60 frames
  • Maximum: 94 frames

Two underlying video codecs are present: H.264 and HEVC.

Researchers using fixed-length architectures should explicitly document any padding, truncation, masking, frame selection, or temporal resampling.

The original RGB videos are published under videos/ without intentional re-encoding as part of the Hugging Face upload process.

4.2 Normalized Two-Person Pose

A repaired canonical normalized pose CSV exists for all 637 interaction records.

The pose representation contains up to 33 landmarks per represented player per frame.

The canonical schema is:

Field Description
frame Frame identifier
player_id Player identifier
landmark_index Pose landmark index
x_norm Normalized horizontal coordinate
y_norm Normalized vertical coordinate
visibility Landmark visibility value

Normalization Methodology

The normalization procedure was empirically recovered and validated across all 637 canonical clips.

For each frame and player, the hip midpoint is:

H = (L23 + L24) / 2

where landmarks 23 and 24 represent the left and right hips.

The shoulder midpoint is:

S = (L11 + L12) / 2

where landmarks 11 and 12 represent the left and right shoulders.

The torso scale is:

d = ||S - H||₂

Each landmark is normalized using:

Li_norm = (Li - H) / d

The resulting coordinates are:

  • Hip-centered
  • Body-relative
  • Torso-scale normalized
  • Isotropically scaled

The coordinates are not [0,1] image-normalized coordinates.

No torso rotation, horizontal reflection, or vertical reflection is applied.

The recovered normalization procedure was validated across 2,313,729 landmark rows, with reconstruction differences at floating-point roundoff level.

All 637 canonical pose files passed structural validation during the recorded V1 audit.

Pose Coverage Limitations

Complete two-player representation is not available for every source-video frame.

The video-relative audit identified 93 clips with at least one missing frame-player group.

Two clips contain one fewer represented pose frame than the corresponding source video:

  • left_left_C153
  • left_left_C185

For both clips, the source video contains 73 frames, while the represented pose sequence contains 72 frames.

Researchers should disclose pose-quality filtering and avoid silently excluding clips with incomplete coverage.

4.3 Pose-Derived Skeleton Representations

Ampe-DB provides derived skeleton outputs for all 637 canonical clip identifiers.

These include:

  • 637 skeleton keypoint CSV files
  • 637 skeleton keypoint JSON files
  • 637 skeleton visualization videos

The corresponding directories are:

skeleton/csv/
skeleton/json/
skeleton/videos/

The skeleton representations underwent additional review and correction during dataset preparation, including comparisons between skeleton animations and their corresponding source RGB recordings.

These outputs provide a visual and numerical representation of estimated two-person movement.

Skeleton outputs are derived representations and visualizations of estimated body pose. They are not a separate independent sensor modality.

The repaired normalized pose files in pose/ remain the canonical pose representation used by the V1 benchmark.

Researchers should distinguish between the normalized benchmark pose representation and the skeleton visualization/keypoint outputs.

Structural validation and visual review do not guarantee anatomically perfect pose estimation across every frame. Occlusions, rapid movement, pose-estimation errors, and tracking ambiguity may still affect individual observations.

4.4 Synchronized Audio

All 637 RGB videos contain synchronized raw audio.

The technical audit recorded:

Property Value
Codec AAC
Sample rate 44.1 kHz
Channels Stereo
Unique media files successfully decoded 557 / 557
Digitally silent unique files 0
Audio/video duration mismatch greater than 0.10 seconds 0

Audio is retained as part of the RGB source recordings.

The dataset does not currently provide verified speech labels, clap-event labels, landing-sound annotations, rhythm labels, or other acoustic semantic annotations.

The independent semantic contribution of audio to movement classification has not yet been characterized.

5. Canonical Annotations

Verified movement labels are stored in:

annotations/ampe_db_v1_labels.csv

This file contains one row for each of the 637 canonical records.

The fields are:

  • clip_id
  • movement_class
  • movement_relation

Historical automatically generated semantic and temporal annotations are not included as canonical V1 ground truth.

The canonical movement labels should be used when constructing supervised classification experiments.

6. Participants and Interaction Structure

The dataset contains 15 participants represented using stable pseudonymous identifiers:

P01 through P15

These participants form:

  • 11 unique unordered participant pairs
  • 14 ordered participant-pair configurations

Some pairs occur in both Player 1 / Player 2 orders.

Participant identities are not released.

The participant and pair identifiers are retained because they support:

  • Participant-aware evaluation
  • Participant-pair-held-out evaluation
  • Generalization analysis
  • Confounding analysis
  • Data leakage prevention
  • Reproducible benchmarking

The release includes:

metadata/participants.csv

Participant-level clip coverage and movement-class coverage.

metadata/participant_pairs.csv

Pair frequency, ordered configurations, and movement-class distribution.

metadata/clip_participant_mapping.csv

Canonical mapping between interaction clips and pseudonymous participant identifiers.

This mapping includes:

  • clip_id
  • video_filename
  • player_1_id
  • player_2_id
  • pair_id_ordered
  • pair_id_unordered
  • movement_class
  • movement_relation

Stable pseudonymous identifiers do not eliminate the possibility of identification from visible faces, voices, or other characteristics present in the source recordings.

7. Exact Duplicates and Data Leakage

The 637 canonical records represent 557 unique complete-file RGB/audio hashes.

The dataset audit identified:

  • 78 exact-duplicate groups
  • 158 records belonging to duplicate groups
  • 80 redundant records beyond one representative per unique media hash

All records sharing an identical RGB/audio SHA-256 hash must remain within the same training, validation, or test partition.

The complete-file RGB/audio SHA-256 hash is the canonical leakage-grouping unit.

Pose files derived from byte-identical RGB media are not necessarily identical, because pose extraction was performed independently during some historical processing runs.

Researchers should not use unconstrained random record-level splitting without considering exact duplicates.

8. Benchmark Protocols

Ampe-DB V1 provides three complementary evaluation settings.

8.1 Duplicate-Safe Fixed Benchmark

The duplicate-safe fixed benchmark is the reference benchmark setting.

Byte-identical RGB/audio media are kept within a single partition.

Participants and participant pairs may recur across training, validation, and test partitions.

The official split is provided in:

splits/duplicate_safe_fixed_split.csv

8.2 Pair-Held-Out Evaluation

Pair-held-out evaluation is the primary V1 generalization benchmark.

The protocol uses four outer folds constructed from 11 unordered participant pairs.

For each fold, held-out participant-pair combinations are excluded from model development.

Individual participants may still appear during development through other pairings.

The relevant files are:

splits/pair_heldout_cv_assignments.csv
splits/pair_heldout_fold_mapping.csv

8.3 Participant-Held-Out Diagnostic Evaluation

Participant-held-out evaluation is a diagnostic generalization protocol.

The held-out participant is absent from training and validation.

Because participant and movement-class coverage are uneven, diagnostic eligibility is restricted to participants with complete target-class coverage:

  • Six participants for the four-class task
  • Eight participants for the binary movement-relation task

The corresponding files are:

splits/participant_heldout_four_class_diagnostic.csv
splits/participant_heldout_binary_diagnostic.csv

These three settings test different forms of generalization and should not be described as a simple progression from easier to harder evaluation.

8.4 Benchmark Reporting Requirements

Researchers should:

  • Keep exact-duplicate media within the same partition.
  • Distinguish 637 canonical records from 557 unique media files.
  • Report class distributions for each split.
  • Account for repeated participants and participant pairs.
  • Use official duplicate-safe split assignments.
  • Treat pair-held-out evaluation as the primary generalization benchmark.
  • Describe participant-held-out evaluation as diagnostic.
  • Document variable-FPS handling.
  • Document variable-sequence-length handling.
  • Disclose pose-quality filtering.
  • Keep test data isolated from model selection and fusion design.
  • Avoid claims of session-held-out evaluation because verified session identifiers are unavailable.

Some historical benchmark split files use clip_id_canonical rather than clip_id. Both refer to the canonical segmented interaction identifier.

9. Supported Research Tasks

Ampe-DB V1 supports research involving:

  1. Four-class RGB movement classification
  2. Same-leg versus different-leg configuration classification
  3. Pose-based movement classification
  4. RGB and pose multimodal classification
  5. Participant-pair-held-out generalization
  6. Participant-held-out diagnostic evaluation
  7. Paired human-motion analysis
  8. Culturally grounded human-interaction research

Audio-only and audio-inclusive classification may be explored, but the independent semantic contribution of audio has not been established in V1.

10. Annotation and Evaluation Limitations

10.1 Rule-Derived Winner Outcomes

Some benchmark artifacts contain:

winner_participant_id

This is an auxiliary rule-derived outcome.

It is not independently observed or manually annotated winner ground truth.

The field is not part of the primary canonical movement labels.

10.2 Unverified Temporal Annotations

The following are not established as verified V1 ground truth:

  • Historical automatically detected landing frames
  • Synchronization labels
  • Temporal-lag labels
  • Manually observed winner or round-outcome labels
  • Recording-session identifiers

Event-aligned early prediction requires additional validated temporal annotations.

A fixed-prefix classification experiment may be conducted, but it should be described as partial-observation or clip-prefix classification rather than verified pre-landing prediction.

10.3 Historical Annotation Audit

A historical automatic movement-label pipeline achieved approximately 23.86% agreement with the verified movement configuration.

The historical frame-level annotation procedure used an automated ankle-comparison method.

The audit identified 35,004 historical frame-level rows.

The historical landing detector produced a degenerate result: all 402 non-null landing detections were assigned to frame 2.

These historical landing values are rejected as V1 temporal ground truth.

10.4 Recording Sessions

Verified recording-session identifiers are unavailable.

Historical file modification times were investigated and rejected as reliable proxies for recording sessions.

Session-held-out or session-generalization benchmark claims are therefore unsupported for V1.

10.5 Full-Game Recordings

The broader research workspace contains 27 longer full-game recordings.

A verified mapping from those recordings to the 637 canonical segmented clips has not been established.

The full-game recordings are therefore excluded from the core V1 release.

11. Dataset Repository Structure

The published Ampe-DB V1 repository is organized as follows:

Ampe-DB/
├── README.md
├── CITATION.cff
├── LICENSE
├── ACCESS_TERMS.md
├── DATA_USE_AGREEMENT.md
├── AMPE_DB_RESEARCH_DATA_USE_AGREEMENT.pdf
│
├── videos/
│   └── 637 canonical RGB MP4 files
│
├── pose/
│   └── 637 normalized pose CSV files
│
├── skeleton/
│   ├── videos/
│   │   └── 637 skeleton visualization MP4 files
│   ├── csv/
│   │   └── 637 skeleton keypoint CSV files
│   └── json/
│       └── 637 skeleton keypoint JSON files
│
├── annotations/
│   └── ampe_db_v1_labels.csv
│
├── metadata/
│   ├── ampe_db_v1_manifest.csv
│   ├── ampe_db_v1_schema.csv
│   ├── ampe_db_v1_data_dictionary.csv
│   ├── participants.csv
│   ├── participant_pairs.csv
│   ├── clip_participant_mapping.csv
│   ├── dataset_statistics.csv
│   └── movement_distribution_summary.csv
│
├── splits/
│   ├── duplicate_safe_fixed_split.csv
│   ├── pair_heldout_cv_assignments.csv
│   ├── pair_heldout_fold_mapping.csv
│   ├── participant_heldout_four_class_diagnostic.csv
│   └── participant_heldout_binary_diagnostic.csv
│
├── docs/
│   ├── DATASET_CARD.md
│   ├── CULTURAL_CONTEXT.md
│   ├── ETHICS_AND_CONSENT.md
│   ├── POSE_FORMAT.md
│   ├── ANNOTATION_GUIDE.md
│   └── BENCHMARK_PROTOCOL.md
│
└── checksums/
    └── Ampe_DB_V1_SHA256_ALL_3185.sha256

The 3,185 primary research data files are separate from the supporting labels, metadata, documentation, access terms, and checksums.

The core publication excludes internal identity-recovery materials, participant-review crops, rejected historical annotations, redundant working directories, and unverified source provenance.

Baseline experiment code, trained-model artifacts, and benchmark results are maintained separately from the core dataset release.

12. Data Quality and Reproducibility

Ampe-DB V1 underwent technical auditing and canonicalization covering:

  • Canonical clip identification
  • RGB and pose correspondence
  • Frame-rate and sequence-length characteristics
  • Pose-normalization provenance
  • Skeleton file structure and subsequent correction review
  • Audio stream readability
  • Verified movement labels
  • Participant and pair metadata
  • Exact-duplicate provenance
  • Data leakage prevention
  • Benchmark split generation
  • Schema and data dictionary documentation
  • Release file integrity

The canonical release manifest contains 637 records and is accompanied by a 64-field schema and data dictionary.

Structural validity should not be interpreted as a guarantee of perfect anatomical pose estimation in every frame.

Pose occlusion, movement ambiguity, extraction artifacts, incomplete frame-player coverage, and limitations of the annotation process should be considered when using the dataset.

Researchers should document all preprocessing, exclusions, and quality-based filtering.

12.1 SHA-256 File Integrity

Ampe-DB V1 provides a complete SHA-256 checksum register covering all 3,185 primary published dataset files.

The register includes:

Collection Checksum entries
Original RGB videos 637
Normalized pose CSVs 637
Skeleton visualization MP4s 637
Skeleton keypoint CSVs 637
Skeleton keypoint JSONs 637
Total 3,185

Master checksum file:

checksums/Ampe_DB_V1_SHA256_ALL_3185.sha256

The file contains one SHA-256 digest and its corresponding repository-relative path per entry.

Checksums were generated from the published Hugging Face release files.

During checksum reconciliation, 152 pose CSV hashes differed from an earlier historical checksum register. The release checksum manifest records the hashes of the currently published files. The historical differences were investigated separately during the publication workflow.

Users should verify downloaded files against the current published register rather than earlier working checksum documents.

A matching SHA-256 digest establishes byte-for-byte agreement with the corresponding published file version. It does not independently establish anatomical, annotation, or scientific correctness.

13. Ethics, Consent, and Participant Rights

Historical project documentation records that informed consent was obtained and that participants were aware of the research purpose of data collection.

Ampe-DB includes participant-derived materials that may contain personally identifiable information, particularly:

  • RGB footage showing participants
  • Synchronized audio containing participants' voices
  • Body pose and movement patterns
  • Pseudonymous participant-linked metadata

The release framework includes the Ampe-DB Research Data Use Agreement and associated access terms.

The permitted scope of sharing, access, and redistribution remains subject to participant rights, applicable permissions, and the governing agreement.

Privacy Safeguards

The release does not include:

  • Real participant names
  • Internal mappings from pseudonyms to real identities
  • Participant contact details
  • Internal identity-review image crops
  • Unnecessary demographic information

The data-use framework restricts:

  • Participant re-identification
  • Participant profiling
  • Biometric identification
  • Participant-directed face recognition
  • Participant-directed voice identification
  • Surveillance use
  • Unauthorized redistribution

The pseudonymous identifiers are retained to support scientifically valid evaluation and reproducibility.

Further discussion of consent, privacy considerations, and limitations is provided in:

docs/ETHICS_AND_CONSENT.md

14. Cultural Context and Responsible Use

Ampe is a Ghanaian cultural practice involving coordinated movement and interaction.

The dataset should not be treated merely as an abstract collection of human-motion sequences.

Ampe-DB represents one computational dataset drawn from recorded interactions within this practice. It does not represent every regional, social, competitive, or cultural variation of Ampe.

Researchers should preserve the cultural context of the data and avoid:

  • Misrepresenting the practice or participants
  • Exploitative or derogatory applications
  • Cultural stereotyping
  • Unjustified generalizations
  • Decontextualized interpretations of the movements

The dataset includes a dedicated cultural-context document:

docs/CULTURAL_CONTEXT.md

15. Access and Licensing

Ampe-DB V1 uses a custom research-use framework.

The governing documents include:

The dataset is intended for legitimate research, education, reproducibility, benchmarking, and related scholarly activity consistent with these terms.

The project does not require case-by-case manual approval for ordinary research access.

The project also maintains a separate researcher-use declaration form for its website distribution workflow. That website form is not presented here as a prerequisite enforced by the Hugging Face repository.

Access to the dataset does not authorize unrestricted redistribution, re-identification, participant profiling, biometric identification, or surveillance.

Researchers must review the governing documents and comply with the applicable conditions of use.

Any use beyond the documented permitted purposes requires the authorization specified by the Data Steward.

16. Dataset Versioning

This release is designated Ampe-DB V1 (1.0.0).

Researchers should record:

  • Dataset version
  • Dataset repository
  • Date of access
  • Repository commit or revision, where possible
  • Benchmark protocol
  • Dataset subset used
  • Pose filtering or preprocessing
  • Evaluation splits
  • Any additional annotation or feature extraction performed

Corrections to annotations, pose data, skeleton representations, or documentation should be recorded through the repository's version history.

For reproducibility, researchers are encouraged to cite a specific repository revision alongside the dataset version when exact file-level provenance is required.

17. Citation

The associated research paper is titled:

Ampe-DB: A Dataset for Human Activity and Interaction Analysis Using the Ghanaian Game Ampe

Dataset authors:

Ruth Senior Biney
Isaac Kojo Yedonu Aboah

The definitive citation metadata are provided in:

CITATION.cff

Researchers making substantive use of Ampe-DB should cite the dataset and its associated research publication, identifying the exact dataset version used.

The repository citation metadata should be treated as authoritative for the current dataset release. A publication DOI should be added when one becomes available.

18. Release and Availability Status

Ampe-DB V1 has been assembled and published on Hugging Face.

The release includes:

  • 637 canonical RGB videos with embedded audio
  • 637 normalized two-person pose CSV files
  • 637 skeleton visualization videos
  • 637 skeleton keypoint CSV files
  • 637 skeleton keypoint JSON files
  • Verified movement labels
  • Pseudonymous participant and participant-pair metadata
  • Official benchmark split files
  • Dataset schema and data dictionary
  • Technical, ethical, cultural, and benchmark documentation
  • Research-use terms and citation information
  • A complete SHA-256 checksum register containing 3,185 file entries

The repository is the designated publication location for Ampe-DB V1.

The published files are accompanied by a checksum register to support file-integrity verification and reproducible retrieval.

Publication of the dataset does not imply that every individual pose estimate, temporal interpretation, or derived representation has been independently verified as ground truth. The limitations documented in this README and the accompanying technical documentation continue to apply.

Dataset Downloads

Repository: https://huggingface.co/datasets/RuthBiney/Ampe-DB

Published files: https://huggingface.co/datasets/RuthBiney/Ampe-DB/tree/main

Checksum register: https://huggingface.co/datasets/RuthBiney/Ampe-DB/tree/main/checksums

Citation: https://huggingface.co/datasets/RuthBiney/Ampe-DB/blob/main/CITATION.cff

Researchers should read the release documentation, observe the applicable access and use restrictions, verify downloaded files where appropriate, and report any material integrity concerns to the project maintainers.

Ampe-DB V1 | October 2026

Ruth Senior Biney and Isaac Kojo Yedonu Aboah

Contact: ruthbiney148@gmail.com

Repository: https://huggingface.co/datasets/RuthBiney/Ampe-DB
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