Datasets:

yarlspace
/

forMusic

License:

Dataset Preview

Split (1)

train

The full dataset viewer is not available (click to read why). Only showing a preview of the rows.

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 17 new columns ({'acousticness', 'instrumentalness', 'duration_ms', 'popularity', 'energy', 'track_id', 'name', 'artists', 'time_signature', 'valence', 'danceability', 'tempo', 'loudness', 'mode', 'liveness', 'key', 'speechiness'}) and 21 missing columns ({'loudness_Max', 'danceability_Min', 'valence_Max', 'loudness_Min', 'energy_Max', 'acousticness_Min', 'danceability_Max', 'liveness_Min', 'mode_Max', 'valence_Min', 'acousticness_Max', 'tempo_Min', 'tempo_Max', 'energy_Min', 'instrumentalness_Max', 'speechiness_Max', 'liveness_Max', 'speechiness_Min', 'instrumentalness_Min', 'mode_Min', 'Emotion'}).

This happened while the csv dataset builder was generating data using

hf://datasets/yarlspace/forMusic/MusicsUpdated.csv (at revision f1a7f1cadc3cd5d849b1e7906b4678d4eff089ea)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              track_id: string
              artists: string
              name: string
              duration_ms: int64
              danceability: double
              energy: double
              key: int64
              loudness: double
              mode: int64
              speechiness: double
              acousticness: double
              instrumentalness: double
              liveness: double
              valence: double
              tempo: double
              time_signature: int64
              popularity: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2253
              to
              {'Emotion': Value(dtype='string', id=None), 'danceability_Min': Value(dtype='float64', id=None), 'danceability_Max': Value(dtype='float64', id=None), 'energy_Min': Value(dtype='float64', id=None), 'energy_Max': Value(dtype='float64', id=None), 'valence_Min': Value(dtype='float64', id=None), 'valence_Max': Value(dtype='float64', id=None), 'tempo_Min': Value(dtype='int64', id=None), 'tempo_Max': Value(dtype='int64', id=None), 'loudness_Min': Value(dtype='int64', id=None), 'loudness_Max': Value(dtype='int64', id=None), 'mode_Min': Value(dtype='int64', id=None), 'mode_Max': Value(dtype='int64', id=None), 'speechiness_Min': Value(dtype='float64', id=None), 'speechiness_Max': Value(dtype='float64', id=None), 'acousticness_Min': Value(dtype='float64', id=None), 'acousticness_Max': Value(dtype='float64', id=None), 'instrumentalness_Min': Value(dtype='float64', id=None), 'instrumentalness_Max': Value(dtype='float64', id=None), 'liveness_Min': Value(dtype='float64', id=None), 'liveness_Max': Value(dtype='float64', id=None)}
              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 1436, 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 1053, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              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 17 new columns ({'acousticness', 'instrumentalness', 'duration_ms', 'popularity', 'energy', 'track_id', 'name', 'artists', 'time_signature', 'valence', 'danceability', 'tempo', 'loudness', 'mode', 'liveness', 'key', 'speechiness'}) and 21 missing columns ({'loudness_Max', 'danceability_Min', 'valence_Max', 'loudness_Min', 'energy_Max', 'acousticness_Min', 'danceability_Max', 'liveness_Min', 'mode_Max', 'valence_Min', 'acousticness_Max', 'tempo_Min', 'tempo_Max', 'energy_Min', 'instrumentalness_Max', 'speechiness_Max', 'liveness_Max', 'speechiness_Min', 'instrumentalness_Min', 'mode_Min', 'Emotion'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/yarlspace/forMusic/MusicsUpdated.csv (at revision f1a7f1cadc3cd5d849b1e7906b4678d4eff089ea)
              
              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.

Emotion string	danceability_Min float64	danceability_Max float64	energy_Min float64	energy_Max float64	valence_Min float64	valence_Max float64	tempo_Min int64	tempo_Max int64	loudness_Min int64	loudness_Max int64	mode_Min int64	mode_Max int64	speechiness_Min float64	speechiness_Max float64	acousticness_Min float64	acousticness_Max float64	instrumentalness_Min float64	instrumentalness_Max float64	liveness_Min float64	liveness_Max float64
suspicion	0.1	0.4	0.15	0.45	0.1	0.35	60	110	-22	-10	0	0	0	0.33	0.2	0.8	0.4	1	0	1
disappointment	0.1	0.4	0.15	0.4	0.05	0.3	60	100	-22	-10	0	0	0	0.33	0.4	0.95	0	1	0	1
hope	0.25	0.65	0.3	0.65	0.55	0.9	80	125	-17	-6	0	1	0	0.33	0.3	0.9	0	1	0	1
curiosity	0.3	0.7	0.4	0.75	0.3	0.7	80	130	-18	-7	0	1	0	0.33	0.1	0.7	0.4	1	0	1
amusement	0.65	0.9	0.6	0.85	0.7	1	110	140	-10	-3	1	1	0.05	0.4	0	1	0	1	0	1
realization	0.2	0.6	0.25	0.65	0.25	0.7	60	120	-20	-8	0	1	0	0.33	0.3	0.9	0.3	0.9	0	1
shame	0.15	0.45	0.2	0.45	0.1	0.3	65	105	-21	-10	0	0	0	0.25	0	1	0	1	0	1
reassurance	0.2	0.6	0.25	0.6	0.65	0.95	70	120	-18	-7	1	1	0	0.33	0.4	1	0	1	0	1
envy	0.2	0.6	0.35	0.75	0.1	0.4	70	140	-17	-7	0	0	0.03	0.45	0	1	0	1	0	1
disgust	0.1	0.4	0.25	0.6	0	0.15	70	130	-19	-8	0	0	0	0.3	0	1	0	1	0	1
fear	0.15	0.45	0.4	0.75	0	0.25	70	150	-19	-7	0	0	0	0.33	0.1	0.8	0.2	0.9	0	1
concern	0	1	0	1	0	1	50	200	-60	0	0	1	0	0.33	0	1	0	1	0	1
discomfort	0.1	0.4	0.2	0.5	0.1	0.3	60	110	-20	-9	0	0	0	0.33	0.3	0.9	0	1	0	1
frustration	0.25	0.6	0.65	0.9	0.05	0.3	110	170	-11	-2	0	0	0	0.33	0	1	0	1	0	1
creativity	0.2	0.75	0.3	0.8	0.3	0.85	70	150	-16	-5	0	1	0	0.33	0.05	0.75	0.2	0.9	0	1
contentment	0.2	0.6	0.2	0.55	0.7	1	70	115	-20	-9	1	1	0	0.15	0.5	1	0.1	0.8	0	1
tradition	0.2	0.65	0.15	0.55	0.35	0.75	60	130	-22	-10	0	1	0	0.25	0.7	1	0	0.7	0	0.35
urgency	0.2	0.55	0.8	1	0	0.2	140	200	-8	0	0	0	0.05	0.4	0	1	0.1	0.7	0	1
panic	0.2	0.55	0.8	1	0	0.2	140	200	-8	0	0	0	0.05	0.4	0	1	0.1	0.7	0	1
pride	0.3	0.7	0.55	0.85	0.6	0.9	90	140	-12	-4	1	1	0	0.33	0	1	0	1	0	1
nervousness	0.2	0.5	0.35	0.7	0.1	0.35	90	160	-17	-8	0	0	0	0.33	0	1	0	1	0	1
relief	0.15	0.5	0.1	0.45	0.6	0.9	60	110	-24	-10	1	1	0	0.33	0.6	1	0	1	0	1
nostalgia	0.25	0.6	0.2	0.55	0.4	0.75	70	115	-20	-9	0	1	0	0.15	0.55	1	0.05	0.8	0	0.25
gratitude	0.2	0.6	0.25	0.6	0.65	0.95	70	120	-18	-7	1	1	0	0.33	0.4	1	0	1	0	1
shock	0.2	0.65	0.55	0.95	0.1	0.7	70	170	-14	-1	0	1	0	0.33	0	1	0	0.6	0	1
joy	0.65	0.9	0.75	0.95	0.75	1	120	150	-8	-2	1	1	0	0.2	0	0.4	0	0.05	0	1
annoyance	0.3	0.65	0.55	0.8	0.1	0.4	100	160	-13	-5	0	1	0.04	0.4	0	1	0	1	0	1
excitement	0.6	0.85	0.8	1	0.65	1	130	170	-7	0	0	1	0.05	0.3	0	1	0	0.1	0	1
passion	0.4	0.75	0.65	0.9	0.55	0.9	100	150	-12	-3	0	1	0.03	0.35	0	1	0	1	0	1
love	0.35	0.7	0.45	0.8	0.65	1	80	130	-15	-5	0	1	0.02	0.25	0.1	0.7	0	1	0	1
anger	0.3	0.65	0.75	1	0	0.25	125	180	-9	0	0	0	0.05	0.5	0	0.2	0	0.4	0	1
sadness	0.1	0.35	0.1	0.35	0	0.25	55	95	-23	-11	0	0	0	0.15	0.6	1	0	0.7	0	1
anticipation	0.3	0.7	0.5	0.8	0.4	0.8	90	140	-15	-5	0	1	0	0.33	0	1	0.1	0.7	0	1
neutral	0.25	0.55	0.25	0.55	0.35	0.65	75	115	-22	-11	0	1	0	0.1	0.25	0.85	0.4	1	0.05	0.25
disapproval	0.2	0.6	0.35	0.75	0.1	0.4	70	140	-17	-7	0	0	0.03	0.45	0	1	0	1	0	1
admiration	0.3	0.65	0.4	0.75	0.6	0.9	80	130	-16	-6	1	1	0	0.33	0.2	0.8	0	1	0	1
caring	0.2	0.55	0.2	0.5	0.6	0.9	65	110	-20	-9	1	1	0	0.2	0.5	1	0	1	0	1
approval	0.4	0.75	0.45	0.75	0.6	0.9	90	135	-14	-5	1	1	0	0.33	0	1	0	1	0	1
determination	0.4	0.75	0.6	0.9	0.5	0.85	100	150	-10	-3	0	1	0	0.33	0	1	0	1	0	1
satisfaction	0.2	0.6	0.2	0.55	0.7	1	70	115	-20	-9	1	1	0	0.15	0.5	1	0.1	0.8	0	1
caution	0.1	0.4	0.15	0.45	0.1	0.35	60	110	-22	-10	0	0	0	0.33	0.2	0.8	0.4	1	0	1
optimism	0.5	0.8	0.6	0.85	0.7	1	110	140	-11	-4	1	1	0	0.33	0	0.5	0	1	0	1
approv	0.4	0.75	0.45	0.75	0.6	0.9	90	135	-14	-5	1	1	0	0.33	0	1	0	1	0	1
surprise	0.2	0.65	0.55	0.95	0.1	0.7	70	170	-14	-1	0	1	0	0.33	0	1	0	0.6	0	1
anxiety	0.15	0.45	0.4	0.75	0	0.25	70	150	-19	-7	0	0	0	0.33	0.1	0.8	0.2	0.9	0	1
trust	0.2	0.6	0.25	0.6	0.65	0.95	70	120	-18	-7	1	1	0	0.33	0.4	1	0	1	0	1
confidence	0.4	0.75	0.6	0.9	0.5	0.85	100	150	-10	-3	0	1	0	0.33	0	1	0	1	0	1
regret	0.1	0.4	0.1	0.35	0.05	0.35	55	90	-24	-11	0	0	0	0.33	0.6	1	0	1	0	1
remorse	0.1	0.4	0.1	0.35	0.05	0.35	55	90	-24	-11	0	0	0	0.33	0.6	1	0	1	0	1
confusion	0.15	0.5	0.25	0.6	0.2	0.5	65	120	-21	-9	0	1	0	0.4	0.1	0.8	0.1	0.9	0	1
grief	0.05	0.3	0	0.25	0	0.15	50	85	-28	-14	0	0	0	0.1	0.75	1	0.3	0.95	0	1
embarrassment	0.15	0.45	0.2	0.45	0.1	0.3	65	105	-21	-10	0	0	0	0.25	0	1	0	1	0	1
deceit	0.2	0.6	0.25	0.6	0.1	0.4	65	115	-20	-10	0	0	0.03	0.45	0	1	0	1	0	1
desire	0.5	0.8	0.6	0.85	0.5	0.85	90	140	-13	-4	0	1	0.04	0.3	0	1	0	1	0	1
disbelief	0.2	0.55	0.3	0.65	0.15	0.45	60	110	-19	-8	0	1	0	0.33	0	1	0.2	0.8	0	1
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