Dataset Viewer
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: TypeError
Message: Couldn't cast array of type
struct<meta.annotator_persona: string, meta.emotional_perspective: string, song.core_dimensional_analysis.dimensions.Age.justification: string, song.core_dimensional_analysis.dimensions.Age.range: string, song.core_dimensional_analysis.dimensions.Age.value: int64, song.core_dimensional_analysis.dimensions.Age.value_num: int64, song.core_dimensional_analysis.dimensions.Arousal.justification: string, song.core_dimensional_analysis.dimensions.Arousal.range: string, song.core_dimensional_analysis.dimensions.Arousal.value: int64, song.core_dimensional_analysis.dimensions.Arousal.value_num: int64, song.core_dimensional_analysis.dimensions.Authenticity.justification: string, song.core_dimensional_analysis.dimensions.Authenticity.range: string, song.core_dimensional_analysis.dimensions.Authenticity.value: int64, song.core_dimensional_analysis.dimensions.Authenticity.value_num: int64, song.core_dimensional_analysis.dimensions.Background Noise.justification: string, song.core_dimensional_analysis.dimensions.Background Noise.range: string, song.core_dimensional_analysis.dimensions.Background Noise.value: int64, song.core_dimensional_analysis.dimensions.Background Noise.value_num: int64, song.core_dimensional_analysis.dimensions.Confident vs. Hesitant.justification: string, song.core_dimensional_analysis.dimensions.Confident vs. Hesitant.range: string, song.core_dimensional_analysis.dimensions.Confident vs. Hesitant.value: int64, song.core_dimensional_analysis.dimensions.Confident vs. He
...
sis.00.dimension: string, song.high_level_analysis.00.justification: string, song.high_level_analysis.00.rating: string, song.high_level_analysis.00.rating_out_of_10_num: int64, song.high_level_analysis.01.dimension: string, song.high_level_analysis.01.justification: string, song.high_level_analysis.01.rating: string, song.high_level_analysis.01.rating_out_of_10_num: int64, song.high_level_analysis.02.dimension: string, song.high_level_analysis.02.justification: string, song.high_level_analysis.02.rating: string, song.high_level_analysis.02.rating_out_of_10_num: int64, song.high_level_analysis.03.dimension: string, song.high_level_analysis.03.justification: string, song.high_level_analysis.03.rating: string, song.high_level_analysis.03.rating_out_of_10_num: int64, song.high_level_analysis.04: string, song.high_level_analysis.05.dimension: string, song.high_level_analysis.05.justification: string, song.high_level_analysis.05.rating: string, song.high_level_analysis.05.rating_out_of_10_num: int64, song.integrated_caption.text: string, song.integrated_caption.word_count: string, song.overall_aesthetic_appeal.description: string, song.overall_aesthetic_appeal.justification: string, song.overall_aesthetic_appeal.rating: string, song.song_name: string, song.tempo.description: string, song.tempo.estimated_bpm: string, song.vocal_analysis.vocalist_details.00.description: string, song.vocal_analysis.vocalist_details.00.vocalist_id: string, song.vocal_analysis.vocalist_summary: string>
to
{'meta.annotator_persona': Value('string'), 'meta.emotional_perspective': Value('string'), 'song.core_dimensional_analysis.dimensions.Age.justification': Value('string'), 'song.core_dimensional_analysis.dimensions.Age.range': Value('string'), 'song.core_dimensional_analysis.dimensions.Age.value': Value('int64'), 'song.core_dimensional_analysis.dimensions.Age.value_num': Value('int64'), 'song.core_dimensional_analysis.dimensions.Arousal.justification': Value('string'), 'song.core_dimensional_analysis.dimensions.Arousal.range': Value('string'), 'song.core_dimensional_analysis.dimensions.Arousal.value': Value('int64'), 'song.core_dimensional_analysis.dimensions.Arousal.value_num': Value('int64'), 'song.core_dimensional_analysis.dimensions.Authenticity.justification': Value('string'), 'song.core_dimensional_analysis.dimensions.Authenticity.range': Value('string'), 'song.core_dimensional_analysis.dimensions.Authenticity.value': Value('int64'), 'song.core_dimensional_analysis.dimensions.Authenticity.value_num': Value('int64'), 'song.core_dimensional_analysis.dimensions.Background Noise.justification': Value('string'), 'song.core_dimensional_analysis.dimensions.Background Noise.range': Value('string'), 'song.core_dimensional_analysis.dimensions.Background Noise.value': Value('int64'), 'song.core_dimensional_analysis.dimensions.Background Noise.value_num': Value('int64'), 'song.core_dimensional_analysis.dimensions.Confident vs. Hesitant.justification': Value('string'), 'song.core_dim
...
Value('int64'), 'song.high_level_analysis.02.dimension': Value('string'), 'song.high_level_analysis.02.justification': Value('string'), 'song.high_level_analysis.02.rating': Value('string'), 'song.high_level_analysis.02.rating_out_of_10_num': Value('int64'), 'song.high_level_analysis.03.dimension': Value('string'), 'song.high_level_analysis.03.justification': Value('string'), 'song.high_level_analysis.03.rating': Value('string'), 'song.high_level_analysis.03.rating_out_of_10_num': Value('int64'), 'song.high_level_analysis.04.dimension': Value('string'), 'song.high_level_analysis.04.justification': Value('string'), 'song.high_level_analysis.04.rating': Value('string'), 'song.high_level_analysis.04.rating_out_of_10_num': Value('int64'), 'song.integrated_caption.text': Value('string'), 'song.integrated_caption.word_count': Value('string'), 'song.overall_aesthetic_appeal.description': Value('string'), 'song.overall_aesthetic_appeal.justification': Value('string'), 'song.overall_aesthetic_appeal.rating': Value('string'), 'song.song_name': Value('string'), 'song.tempo.description': Value('string'), 'song.tempo.estimated_bpm': Value('string'), 'song.vocal_analysis.vocalist_details.00.description': Value('string'), 'song.vocal_analysis.vocalist_details.00.vocalist_id': Value('string'), 'song.vocal_analysis.vocalist_details.01.description': Value('string'), 'song.vocal_analysis.vocalist_details.01.vocalist_id': Value('string'), 'song.vocal_analysis.vocalist_summary': Value('string')}
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 "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2431, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1984, in _iter_arrow
pa_table = cast_table_to_features(pa_table, self.features)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2197, in cast_table_to_features
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2092, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<meta.annotator_persona: string, meta.emotional_perspective: string, song.core_dimensional_analysis.dimensions.Age.justification: string, song.core_dimensional_analysis.dimensions.Age.range: string, song.core_dimensional_analysis.dimensions.Age.value: int64, song.core_dimensional_analysis.dimensions.Age.value_num: int64, song.core_dimensional_analysis.dimensions.Arousal.justification: string, song.core_dimensional_analysis.dimensions.Arousal.range: string, song.core_dimensional_analysis.dimensions.Arousal.value: int64, song.core_dimensional_analysis.dimensions.Arousal.value_num: int64, song.core_dimensional_analysis.dimensions.Authenticity.justification: string, song.core_dimensional_analysis.dimensions.Authenticity.range: string, song.core_dimensional_analysis.dimensions.Authenticity.value: int64, song.core_dimensional_analysis.dimensions.Authenticity.value_num: int64, song.core_dimensional_analysis.dimensions.Background Noise.justification: string, song.core_dimensional_analysis.dimensions.Background Noise.range: string, song.core_dimensional_analysis.dimensions.Background Noise.value: int64, song.core_dimensional_analysis.dimensions.Background Noise.value_num: int64, song.core_dimensional_analysis.dimensions.Confident vs. Hesitant.justification: string, song.core_dimensional_analysis.dimensions.Confident vs. Hesitant.range: string, song.core_dimensional_analysis.dimensions.Confident vs. Hesitant.value: int64, song.core_dimensional_analysis.dimensions.Confident vs. He
...
sis.00.dimension: string, song.high_level_analysis.00.justification: string, song.high_level_analysis.00.rating: string, song.high_level_analysis.00.rating_out_of_10_num: int64, song.high_level_analysis.01.dimension: string, song.high_level_analysis.01.justification: string, song.high_level_analysis.01.rating: string, song.high_level_analysis.01.rating_out_of_10_num: int64, song.high_level_analysis.02.dimension: string, song.high_level_analysis.02.justification: string, song.high_level_analysis.02.rating: string, song.high_level_analysis.02.rating_out_of_10_num: int64, song.high_level_analysis.03.dimension: string, song.high_level_analysis.03.justification: string, song.high_level_analysis.03.rating: string, song.high_level_analysis.03.rating_out_of_10_num: int64, song.high_level_analysis.04: string, song.high_level_analysis.05.dimension: string, song.high_level_analysis.05.justification: string, song.high_level_analysis.05.rating: string, song.high_level_analysis.05.rating_out_of_10_num: int64, song.integrated_caption.text: string, song.integrated_caption.word_count: string, song.overall_aesthetic_appeal.description: string, song.overall_aesthetic_appeal.justification: string, song.overall_aesthetic_appeal.rating: string, song.song_name: string, song.tempo.description: string, song.tempo.estimated_bpm: string, song.vocal_analysis.vocalist_details.00.description: string, song.vocal_analysis.vocalist_details.00.vocalist_id: string, song.vocal_analysis.vocalist_summary: string>
to
{'meta.annotator_persona': Value('string'), 'meta.emotional_perspective': Value('string'), 'song.core_dimensional_analysis.dimensions.Age.justification': Value('string'), 'song.core_dimensional_analysis.dimensions.Age.range': Value('string'), 'song.core_dimensional_analysis.dimensions.Age.value': Value('int64'), 'song.core_dimensional_analysis.dimensions.Age.value_num': Value('int64'), 'song.core_dimensional_analysis.dimensions.Arousal.justification': Value('string'), 'song.core_dimensional_analysis.dimensions.Arousal.range': Value('string'), 'song.core_dimensional_analysis.dimensions.Arousal.value': Value('int64'), 'song.core_dimensional_analysis.dimensions.Arousal.value_num': Value('int64'), 'song.core_dimensional_analysis.dimensions.Authenticity.justification': Value('string'), 'song.core_dimensional_analysis.dimensions.Authenticity.range': Value('string'), 'song.core_dimensional_analysis.dimensions.Authenticity.value': Value('int64'), 'song.core_dimensional_analysis.dimensions.Authenticity.value_num': Value('int64'), 'song.core_dimensional_analysis.dimensions.Background Noise.justification': Value('string'), 'song.core_dimensional_analysis.dimensions.Background Noise.range': Value('string'), 'song.core_dimensional_analysis.dimensions.Background Noise.value': Value('int64'), 'song.core_dimensional_analysis.dimensions.Background Noise.value_num': Value('int64'), 'song.core_dimensional_analysis.dimensions.Confident vs. Hesitant.justification': Value('string'), 'song.core_dim
...
Value('int64'), 'song.high_level_analysis.02.dimension': Value('string'), 'song.high_level_analysis.02.justification': Value('string'), 'song.high_level_analysis.02.rating': Value('string'), 'song.high_level_analysis.02.rating_out_of_10_num': Value('int64'), 'song.high_level_analysis.03.dimension': Value('string'), 'song.high_level_analysis.03.justification': Value('string'), 'song.high_level_analysis.03.rating': Value('string'), 'song.high_level_analysis.03.rating_out_of_10_num': Value('int64'), 'song.high_level_analysis.04.dimension': Value('string'), 'song.high_level_analysis.04.justification': Value('string'), 'song.high_level_analysis.04.rating': Value('string'), 'song.high_level_analysis.04.rating_out_of_10_num': Value('int64'), 'song.integrated_caption.text': Value('string'), 'song.integrated_caption.word_count': Value('string'), 'song.overall_aesthetic_appeal.description': Value('string'), 'song.overall_aesthetic_appeal.justification': Value('string'), 'song.overall_aesthetic_appeal.rating': Value('string'), 'song.song_name': Value('string'), 'song.tempo.description': Value('string'), 'song.tempo.estimated_bpm': Value('string'), 'song.vocal_analysis.vocalist_details.00.description': Value('string'), 'song.vocal_analysis.vocalist_details.00.vocalist_id': Value('string'), 'song.vocal_analysis.vocalist_details.01.description': Value('string'), 'song.vocal_analysis.vocalist_details.01.vocalist_id': Value('string'), 'song.vocal_analysis.vocalist_summary': Value('string')}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.
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