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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End of preview.