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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 17 new columns ({'id_artists', 'speechiness', 'loudness', 'valence', 'liveness', 'artists', 'acousticness', 'explicit', 'danceability', 'mode', 'duration_ms', 'tempo', 'time_signature', 'energy', 'release_date', 'instrumentalness', 'key'}) and 2 missing columns ({'genres', 'followers'}).
This happened while the csv dataset builder was generating data using
hf://datasets/krishna112003/Spotify_Music_Analytics_and_Popularity_Prediction/tracks.csv (at revision c7677baf0c73c94b2ee1f530cb23fea9c2a4da6b), [/tmp/hf-datasets-cache/medium/datasets/13702703305526-config-parquet-and-info-krishna112003-Spotify_Mus-1fdeab86/hub/datasets--krishna112003--Spotify_Music_Analytics_and_Popularity_Prediction/snapshots/c7677baf0c73c94b2ee1f530cb23fea9c2a4da6b/artists.csv (origin=hf://datasets/krishna112003/Spotify_Music_Analytics_and_Popularity_Prediction@c7677baf0c73c94b2ee1f530cb23fea9c2a4da6b/artists.csv), /tmp/hf-datasets-cache/medium/datasets/13702703305526-config-parquet-and-info-krishna112003-Spotify_Mus-1fdeab86/hub/datasets--krishna112003--Spotify_Music_Analytics_and_Popularity_Prediction/snapshots/c7677baf0c73c94b2ee1f530cb23fea9c2a4da6b/tracks.csv (origin=hf://datasets/krishna112003/Spotify_Music_Analytics_and_Popularity_Prediction@c7677baf0c73c94b2ee1f530cb23fea9c2a4da6b/tracks.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/python3.12/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: string
name: string
popularity: int64
duration_ms: int64
explicit: int64
artists: string
id_artists: string
release_date: string
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
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2594
to
{'id': Value('string'), 'followers': Value('float64'), 'genres': Value('string'), 'name': Value('string'), 'popularity': Value('int64')}
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 1348, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 890, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 951, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1839, 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 ({'id_artists', 'speechiness', 'loudness', 'valence', 'liveness', 'artists', 'acousticness', 'explicit', 'danceability', 'mode', 'duration_ms', 'tempo', 'time_signature', 'energy', 'release_date', 'instrumentalness', 'key'}) and 2 missing columns ({'genres', 'followers'}).
This happened while the csv dataset builder was generating data using
hf://datasets/krishna112003/Spotify_Music_Analytics_and_Popularity_Prediction/tracks.csv (at revision c7677baf0c73c94b2ee1f530cb23fea9c2a4da6b), [/tmp/hf-datasets-cache/medium/datasets/13702703305526-config-parquet-and-info-krishna112003-Spotify_Mus-1fdeab86/hub/datasets--krishna112003--Spotify_Music_Analytics_and_Popularity_Prediction/snapshots/c7677baf0c73c94b2ee1f530cb23fea9c2a4da6b/artists.csv (origin=hf://datasets/krishna112003/Spotify_Music_Analytics_and_Popularity_Prediction@c7677baf0c73c94b2ee1f530cb23fea9c2a4da6b/artists.csv), /tmp/hf-datasets-cache/medium/datasets/13702703305526-config-parquet-and-info-krishna112003-Spotify_Mus-1fdeab86/hub/datasets--krishna112003--Spotify_Music_Analytics_and_Popularity_Prediction/snapshots/c7677baf0c73c94b2ee1f530cb23fea9c2a4da6b/tracks.csv (origin=hf://datasets/krishna112003/Spotify_Music_Analytics_and_Popularity_Prediction@c7677baf0c73c94b2ee1f530cb23fea9c2a4da6b/tracks.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.
id string | followers float64 | genres string | name string | popularity int64 |
|---|---|---|---|---|
0DheY5irMjBUeLybbCUEZ2 | 0 | [] | Armid & Amir Zare Pashai feat. Sara Rouzbehani | 0 |
0DlhY15l3wsrnlfGio2bjU | 5 | [] | ปูนา ภาวิณี | 0 |
0DmRESX2JknGPQyO15yxg7 | 0 | [] | Sadaa | 0 |
0DmhnbHjm1qw6NCYPeZNgJ | 0 | [] | Tra'gruda | 0 |
0Dn11fWM7vHQ3rinvWEl4E | 2 | [] | Ioannis Panoutsopoulos | 0 |
0DotfDlYMGqkbzfBhcA5r6 | 7 | [] | Astral Affect | 0 |
0DqP3bOCiC48L8SM9gK4W8 | 1 | [] | Yung Seed | 0 |
0Drs3maQb99iRglyTuxizI | 0 | [] | Wi'Ma | 0 |
0DsPeAi1gxPPnYjgpiEGSR | 0 | [] | lentboy | 0 |
0DtvnTxgZ9K5YaPS5jdlQW | 20 | [] | addworks | 0 |
0Du4t8UK1lBD8TnOIa3c17 | 1 | [] | Harrbazzter | 0 |
0DuJ5k2ERoAizEdgUzJGTc | 0 | [] | Helena Brunner | 0 |
0DujX6vG6qOz2wVBCQg5Vi | 0 | [] | Deezy McDuffie | 0 |
0DvBSYDq5ikdlKgp94Yamq | 1 | [] | Riyaz Azaimar | 0 |
0DvvojCMIqsOT1Btiwvq1h | 422 | [] | Sidonie Radio | 0 |
0DxcE03jyjg3wQVHUQKx8C | 0 | [] | Le Chamête | 0 |
0DxsGcq4ILa7Ss2CmZfipk | 0 | [] | Lipin. P | 0 |
0DzKNJPHYPMaLDxDVEuznX | 4 | [] | Breakingnews | 0 |
0DzfuBZVzDryD5ZqKla8EW | 0 | [] | TINY x dr.KONG | 0 |
0DzvgthIK2nmlAPE0A2Uvo | 0 | [] | Stan P | 0 |
0E01IqK2Q0vhDHOrQHRoHv | 0 | [] | Smockda | 0 |
0E0SpAZoIxSSvBefCBLfUB | 3 | [] | El Bago | 0 |
0E0afUR6aObnzDTMvjMEuC | 3 | [] | Kazuki Komatsu | 0 |
0E0eEzoo3nfBf5efmw6S1Q | 0 | [] | Omar Ferreyra | 0 |
0E0n2GRFDjxWw3NiIAG8O3 | 66 | [] | Los Argon | 0 |
0E1g9toY6vQ4ANdEWV3H2o | 1 | [] | Uhmforcestare | 0 |
0E2KoM6UMbdCUigMup7Mm5 | 0 | [] | Wemerson Paulo | 0 |
0E2f4liezEM9Q9OpIovTXJ | 0 | [] | Snathers | 0 |
0E3abAxpm40VzlkhFxBhUc | 0 | [] | Joel Tepp | 0 |
0E3hfspo8Y6JaVY7hx9Dbw | 11 | [] | Letters to Lillian | 0 |
0E65ao0wq06lp4F8sQEsy5 | 2 | [] | King Cappo | 0 |
0E6Aro4b963h7TPeChGIxO | 1 | [] | Beppie Kra | 0 |
0E6Fm3v7ftnQ9kIqfG5VRz | 0 | [] | Valdo Reis e Platini | 0 |
0E6Hp8xNT93q3ydBupYT5z | 8 | [] | Semina Insania | 0 |
0E6xQFR342J2GVLjQr774K | 1 | [] | G Scrap Loc | 0 |
0E7fAP8hg5YsmoqHEuPVN9 | 1 | [] | Thre3 | 0 |
0E80AIHqkMgmEbcCZiPwwY | 1 | [] | Santy & Neko | 0 |
0E8WJ6ltRtLTRhEQv3iNsT | 1 | [] | Huni'G And His Band | 0 |
0E8xqvEmMJQNbUMSZGYWh6 | 0 | [] | SEOBIN | 0 |
0E9BbNtN2oExFDtFiVyyqf | 0 | [] | Blacc Ops | 0 |
0E9GBw9Q4QKswEISEnqamz | 0 | [] | Zakaray | 0 |
0EAIiKCDPXGtXEflUu8LIh | 0 | [] | Uncle Alice Band | 0 |
0EBhDCuHoIkatzCoqL3hTD | 0 | [] | Digital Pugsley | 0 |
0EDdx2mtOtph1rDexX7kO8 | 0 | [] | Robert Barone | 0 |
6S3nAGEmdt4nhPrtBJ56Ga | 300 | [] | William Pitt | 8 |
0VLMVnVbJyJ4oyZs2L3Yl2 | 71 | ['carnaval cadiz'] | Las Viudas De Los Bisabuelos | 6 |
0dt23bs4w8zx154C5xdVyl | 63 | ['carnaval cadiz'] | Los De Capuchinos | 5 |
0pGhoB99qpEJEsBQxgaskQ | 64 | ['carnaval cadiz'] | Los “Pofesionales” | 7 |
3HDrX2OtSuXLW5dLR85uN3 | 53 | ['carnaval cadiz'] | Los Que No Paran De Rajar | 6 |
0CLwCkyQAQh3aaIVcDDOka | 0 | [] | THELMA GARCIA | 0 |
0CMj2r0cVxhFyJ7JKJjeuA | 2 | [] | Koke Jc | 0 |
0CPJ0OH0nNPyutuSDYxCjJ | 13 | [] | Andre Rocha | 0 |
0CQOV1r9SODIMxUKfBWN7r | 49 | [] | Mitrasphere -ミトラスフィア- サウンドチーム | 0 |
0CQnm2S7xXkfKAZBnQ3AuX | 0 | [] | 桜井のぞみ (石原夏織) | 0 |
0CYb1GLJyCd9YsDy1CyLaJ | 3 | [] | N.O.B a.k.a. COCOSPIN | 0 |
0Cat0Vcsy8IvLMHQYFpXmB | 0 | [] | Luke Garison | 0 |
0CcJoVb594zyyzV1gV6glB | 5 | [] | DJ Cronic | 0 |
0AZanUIYLgaLUv6JPKrOk3 | 0 | [] | Fairchilds | 0 |
0FlEKY0DAdwVppVT51oeLk | 3 | [] | Samuel Reyes | 0 |
0FlIz3WjAXTExCeWD4A14G | 0 | [] | Fnr Tez | 0 |
0FlUvcVD3WSjL1cCx0Dp8E | 0 | [] | Janan | 0 |
0FmAcFoHbWoOIiJT8banyr | 1 | [] | iamjustdrew | 0 |
0Fmrf9QtehWo5XivMENtQ9 | 7 | [] | Jaii Peso | 0 |
0Fn4AAkdzNJ8d6GXf3H92N | 0 | [] | 아응아 | 0 |
0FnMqa1dpreetgg2fRhgbY | 0 | [] | Elise Popma | 0 |
0FnegoCz1hBUwxIJ5eY7T1 | 0 | [] | Alykam | 0 |
0FoCXmWSoIGHTWynzInGgB | 0 | [] | [,j | 0 |
0FoIW5oXgJqe2qZv4bWHE2 | 0 | [] | Koo Guy | 0 |
0FpAizL4ViVWwwxguaW7jK | 3 | [] | Salvatore Gravino | 0 |
0FqXFytrDEQneVZ66qKTQf | 2 | [] | Black Jade | 0 |
0FqzpHdzqDtTf69aBEQgi7 | 0 | [] | Dre Rozay | 0 |
0Fr9aue7RrkljEiistJoxw | 0 | [] | Jeet Fatehgarhiya | 0 |
0FrKXkadGI9XIYtHWjsg42 | 0 | [] | Joy Farmer | 0 |
0FrUyJMAY6I3W0OQQBjDcQ | 1 | [] | Egrojj | 0 |
0FriSDHrgYxYDM9Fwpxgx9 | 0 | [] | Insane Duchess | 0 |
0FrzYPJCeWvJQasKGo1Njh | 0 | [] | DaneTheGreat | 0 |
0FsR85VYCi3F5W6gZmS3R2 | 0 | [] | KingKeyy | 0 |
0Fso98ZlRTCBtkDomWdLdU | 0 | [] | Sello Lephosa | 0 |
0Ft8borU3EjHQnJdOI6UnD | 2 | [] | Dj Formal | 0 |
0FtbOQA0alUQSKQPEN7eIF | 0 | [] | Setsuka | 0 |
0FtcQko2Wq1Wz2ByA2hzly | 1 | [] | Matth | 0 |
0FuOtcekzQPV88pvwoWdrv | 4 | [] | Javier Jofré | 0 |
0FuWWsAZFQbQfUFhONI6pu | 4 | [] | Kamlesh Rajbhar | 0 |
0FubKw8QsNSjeGd6XZ55rx | 0 | [] | Big Chad Daminko | 0 |
0FuodMZtQAg59EcfcGsxDB | 1 | [] | Starlin Browning | 0 |
0FvnGcM4CRonJDq4vFmXbI | 0 | [] | Jhayla Simmons | 0 |
0FvsVWobzdZkG4DdovqSKd | 2 | [] | Banda Arrepio do Forró | 0 |
0Fw4jGXXHGWmSVGNatwqVZ | 0 | [] | Htweezy | 0 |
0FwQCDim58OUiXj9jcfsPm | 0 | [] | 若林潤 | 0 |
0FwRZNm6qVL1Lbq2dmWIqP | 0 | [] | Archan Trivedi | 0 |
0FwT5eGbftBUVsWAVLqf5p | 0 | [] | Eniks | 0 |
0FwfQahyfRMBfwS35GdXwL | 14 | [] | Estodoynada | 0 |
0FwpYhP41wVFvqUIzufbzY | 0 | [] | Nouaamane Media | 0 |
0FwyyQGLxYxavQyVUrBCYu | 0 | [] | Flat Region | 0 |
0FxgbHEKHPV4NUyXcr4uUj | 5 | [] | Calvin Es | 0 |
0FxhAfvCH5BCMAda7fH0W8 | 0 | [] | Tony Fcee | 0 |
0KqbCJ52M2IeX9MZOQYFXi | 0 | [] | Relaxing Music Playlist Artisanal | 0 |
0Kr1sWSwNTv46gdNH1udlL | 0 | [] | Bharti Prajapati | 0 |
0Kr4BIMlQVjRalTBKbJQ6u | 0 | [] | Ava Bell 5 | 0 |
0Kr56HcJFhJLcAaLWwxOUM | 1 | [] | MellowSavage | 0 |
End of preview.
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