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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 1 new columns ({'dataset'})

This happened while the csv dataset builder was generating data using

hf://datasets/sb-lucas/Music-Text-Queries/triplets/MTSQ/triplets_train.csv (at revision d626a55e448755ebc976fedfad97d5ae4c4edfa5), ['hf://datasets/sb-lucas/Music-Text-Queries@d626a55e448755ebc976fedfad97d5ae4c4edfa5/triplets/MTIQ/triplets_train.csv', 'hf://datasets/sb-lucas/Music-Text-Queries@d626a55e448755ebc976fedfad97d5ae4c4edfa5/triplets/MTSQ/triplets_train.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 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              reference_song: string
              modification: string
              target_song: string
              dataset: string
              modification_text: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 903
              to
              {'reference_song': Value('string'), 'modification_text': Value('string'), 'target_song': Value('string'), 'modification': 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 1683, 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 1839, 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 1 new columns ({'dataset'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/sb-lucas/Music-Text-Queries/triplets/MTSQ/triplets_train.csv (at revision d626a55e448755ebc976fedfad97d5ae4c4edfa5), ['hf://datasets/sb-lucas/Music-Text-Queries@d626a55e448755ebc976fedfad97d5ae4c4edfa5/triplets/MTIQ/triplets_train.csv', 'hf://datasets/sb-lucas/Music-Text-Queries@d626a55e448755ebc976fedfad97d5ae4c4edfa5/triplets/MTSQ/triplets_train.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)

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reference_song
string
modification_text
string
target_song
string
modification
string
original/68/984068.mp3
same song but not so electronic
original/55/967155.mp3
make it not electronic
original/68/1174468.mp3
find an alternative that is not as electronic
original/53/1334753.mp3
make it not electronic
original/68/1075168.mp3
i want a track like this that is more acoustic
original/23/262723.mp3
make it acoustic
original/68/1075168.mp3
similar to this, but not as electronic
original/56/168656.mp3
make it not electronic
original/68/72768.mp3
similar to this, but add singing
original/94/1324894.mp3
add singing
original/68/1179868.mp3
find an alternative that is not as relaxed
original/18/1123318.mp3
make it not relaxed
original/68/1179868.mp3
find an alternative that is not as relaxed
original/22/490322.mp3
make it not relaxed
original/68/426268.mp3
a more aggressive version of this
original/06/1317906.mp3
make it aggressive
original/68/426268.mp3
find a aggressive alternative to this
original/58/73158.mp3
make it aggressive
original/68/426268.mp3
like this, just more aggressive
original/37/46037.mp3
make it aggressive
original/68/1304568.mp3
find an alternative that is not as acoustic
original/81/1268081.mp3
make it not acoustic
original/68/1304568.mp3
similar to this, but not as acoustic
original/44/1245144.mp3
make it not acoustic
original/68/1304568.mp3
like this, just less acoustic
original/46/172646.mp3
make it not acoustic
original/68/1304568.mp3
a version of this that is less acoustic
original/03/1247403.mp3
make it not acoustic
original/68/1304568.mp3
like this, just less acoustic
original/10/1268110.mp3
make it not acoustic
original/68/1304568.mp3
find something like this that is less acoustic
original/60/966560.mp3
make it not acoustic
original/68/1304568.mp3
this track, but less acoustic
original/77/221177.mp3
make it not acoustic
original/68/1304568.mp3
a less acoustic version of this
original/54/36354.mp3
make it not acoustic
original/68/1304568.mp3
same song but not so acoustic
original/74/72774.mp3
make it not acoustic
original/68/1304568.mp3
a less acoustic version of this
original/21/1349121.mp3
make it not acoustic
original/68/1304568.mp3
a less acoustic version of this
original/22/1094522.mp3
make it not acoustic
original/68/1304568.mp3
this track, but less acoustic
original/26/33326.mp3
make it not acoustic
original/68/1304568.mp3
like this, just less acoustic
original/04/1190104.mp3
make it not acoustic
original/68/1304568.mp3
a less acoustic version of this
original/59/1391259.mp3
make it not acoustic
original/68/1304568.mp3
make it not acoustic
original/08/1044308.mp3
make it not acoustic
original/68/1304568.mp3
find an alternative that is not as acoustic
original/63/1221563.mp3
make it not acoustic
original/68/1304568.mp3
a less acoustic version of this
original/06/1049706.mp3
make it not acoustic
original/68/1304568.mp3
this track, but less acoustic
original/11/168811.mp3
make it not acoustic
original/68/1304568.mp3
a version of this that is less acoustic
original/32/1119032.mp3
make it not acoustic
original/68/1304568.mp3
this track, but less acoustic
original/42/482742.mp3
make it not acoustic
original/68/1304568.mp3
i want a track like this that isn't so acoustic
original/19/1303019.mp3
make it not acoustic
original/68/1304568.mp3
i want a track like this that isn't so acoustic
original/60/290860.mp3
make it not acoustic
original/68/1304568.mp3
same song but not so acoustic
original/45/384145.mp3
make it not acoustic
original/68/1304568.mp3
like this, just less acoustic
original/86/774086.mp3
make it not acoustic
original/68/1304568.mp3
same song but not so acoustic
original/23/1243723.mp3
make it not acoustic
original/68/1304568.mp3
similar to this, but not as acoustic
original/99/26899.mp3
make it not acoustic
original/68/1304568.mp3
find an alternative that is not as acoustic
original/89/1392789.mp3
make it not acoustic
original/68/1304568.mp3
find an alternative that is not as acoustic
original/06/768506.mp3
make it not acoustic
original/68/1304568.mp3
a version of this that is less acoustic
original/90/694890.mp3
make it not acoustic
original/68/1304568.mp3
similar to this, but not as acoustic
original/10/1135810.mp3
make it not acoustic
original/68/1304568.mp3
i want a track like this that isn't so acoustic
original/40/1030040.mp3
make it not acoustic
original/68/1304568.mp3
like this, just less acoustic
original/53/1080153.mp3
make it not acoustic
original/68/1304568.mp3
i want a track like this that isn't so acoustic
original/35/53635.mp3
make it not acoustic
original/68/1304568.mp3
similar to this, but not as acoustic
original/41/1360541.mp3
make it not acoustic
original/68/1304568.mp3
this track, but less acoustic
original/20/1290020.mp3
make it not acoustic
original/68/1304568.mp3
like this, just less acoustic
original/62/1027162.mp3
make it not acoustic
original/68/1304568.mp3
find something like this that is less acoustic
original/27/273627.mp3
make it not acoustic
original/68/1304568.mp3
this track, but less acoustic
original/26/827326.mp3
make it not acoustic
original/68/1304568.mp3
like this, just less acoustic
original/42/1245142.mp3
make it not acoustic
original/68/1304568.mp3
like this, just less acoustic
original/49/123549.mp3
make it not acoustic
original/68/1304568.mp3
i want a track like this that isn't so acoustic
original/37/1087137.mp3
make it not acoustic
original/68/1304568.mp3
i want a track like this that isn't so acoustic
original/05/1166805.mp3
make it not acoustic
original/68/1304568.mp3
similar to this, but not as acoustic
original/58/1391258.mp3
make it not acoustic
original/68/1304568.mp3
make it not acoustic
original/75/1388875.mp3
make it not acoustic
original/68/1304568.mp3
a less acoustic version of this
original/00/1053400.mp3
make it not acoustic
original/68/1304568.mp3
find something like this that is less acoustic
original/77/1257277.mp3
make it not acoustic
original/68/1304568.mp3
this track, but less acoustic
original/55/495555.mp3
make it not acoustic
original/68/1304568.mp3
similar to this, but not as acoustic
original/22/1087022.mp3
make it not acoustic
original/68/1304568.mp3
same song but not so acoustic
original/10/292310.mp3
make it not acoustic
original/68/1304568.mp3
this track, but less acoustic
original/87/1414687.mp3
make it not acoustic
original/68/1304568.mp3
i want a track like this that isn't so acoustic
original/16/112716.mp3
make it not acoustic
original/68/1304568.mp3
find an alternative that is not as acoustic
original/32/940732.mp3
make it not acoustic
original/68/1304568.mp3
find something like this that is less acoustic
original/42/759342.mp3
make it not acoustic
original/68/1304568.mp3
similar to this, but not as acoustic
original/14/1217514.mp3
make it not acoustic
original/68/1304568.mp3
find something like this that is less acoustic
original/67/1295567.mp3
make it not acoustic
original/68/1304568.mp3
make it not acoustic
original/32/1420532.mp3
make it not acoustic
original/68/1304568.mp3
i want a track like this that isn't so acoustic
original/78/1403978.mp3
make it not acoustic
original/68/1304568.mp3
a less acoustic version of this
original/15/1116715.mp3
make it not acoustic
original/68/1304568.mp3
like this, just less acoustic
original/86/741886.mp3
make it not acoustic
original/68/1304568.mp3
this track, but less acoustic
original/01/376301.mp3
make it not acoustic
original/68/1304568.mp3
i want a track like this that isn't so acoustic
original/06/1341306.mp3
make it not acoustic
original/68/555368.mp3
like this, just less electronic
original/55/967155.mp3
make it not electronic
original/68/35168.mp3
a acoustic version of this
original/93/857493.mp3
make it acoustic
original/68/35168.mp3
find something like this that is more acoustic
original/53/1233753.mp3
make it acoustic
original/68/35168.mp3
like this, just more acoustic
original/23/262723.mp3
make it acoustic
original/68/1414168.mp3
i'm looking for this, but with singing
original/43/1190843.mp3
add singing
original/68/1414168.mp3
a version of this track that includes singing
original/03/271103.mp3
add singing
original/68/1414168.mp3
find something like this that is less party
original/90/1402090.mp3
make it not party
original/68/1414168.mp3
i'm looking for this, but with singing
original/88/1096088.mp3
add singing
original/68/1414168.mp3
this, plus singing
original/17/1356517.mp3
add singing
original/68/1414168.mp3
add singing
original/34/953634.mp3
add singing
original/68/1414168.mp3
same feel, but looking for one with singing
original/96/115196.mp3
add singing
original/68/1414168.mp3
same song but with singing
original/82/1094482.mp3
add singing
original/68/1414168.mp3
this, plus singing
original/97/31797.mp3
add singing
original/68/1414168.mp3
find a version of this with singing
original/01/1097201.mp3
add singing
original/68/1414168.mp3
something like this but with singing
original/63/1231363.mp3
add singing
original/68/1414168.mp3
similar to this, but add singing
original/83/1027883.mp3
add singing
original/68/1414168.mp3
something like this but with singing
original/60/644060.mp3
add singing
original/68/1414168.mp3
a version of this track that includes singing
original/28/1420928.mp3
add singing
original/68/1414168.mp3
make it not party
original/55/879155.mp3
make it not party
original/68/1414168.mp3
like this, just less party
original/87/1056387.mp3
make it not party
original/68/1414168.mp3
this, plus singing
original/48/308048.mp3
add singing
original/68/1414168.mp3
like this, just less party
original/35/1416335.mp3
make it not party
original/68/1414168.mp3
find me something similar that has singing
original/13/1112113.mp3
add singing
original/68/1414168.mp3
add singing
original/35/1379135.mp3
add singing
original/68/1414168.mp3
a version of this track that includes singing
original/65/1271865.mp3
add singing
original/68/1414168.mp3
this track, but with singing
original/67/1086667.mp3
add singing
original/68/1414168.mp3
like this, but with a singing in it
original/05/887205.mp3
add singing
original/68/1414168.mp3
i want a track like this that isn't so party
original/00/1056400.mp3
make it not party
original/68/1414168.mp3
this track, but with singing
original/61/1189961.mp3
add singing
End of preview.

MTIQ and MTSQ Datasets

Overview

This dataset contains the preprocessed data used in the experiments reported in: https://github.com/sb-lucas/Guided-Music-Retrieval

It consists of two related datasets:

  • MTIQ: uses only original audio + triplet annotations
  • MTSQ: uses original audio + transformed audio subsets + triplet annotations

Dataset Requirements

  • To use MTIQ, download:

    • original.tar.gz
    • triplets/MTIQ/
  • To use MTSQ, download:

    • original.tar.gz
    • add_instrument.tar.gz
    • remove_instrument.tar.gz
    • mood_change.tar.gz
    • slowed.tar.gz
    • triplets/MTSQ/

Archive Contents

  • original.tar.gz
    Audio from the MTG-Jamendo dataset, trimmed to the central 10 seconds. Used as the base audio for both MTIQ and MTSQ.

  • add_instrument.tar.gz
    Audio subset corresponding to the instrument addition transformations in MTSQ.

  • remove_instrument.tar.gz
    Audio subset corresponding to the instrument removal transformations in MTSQ.

  • mood_change.tar.gz
    Audio subset corresponding to mood change transformationss in MTSQ.

  • slowed.tar.gz
    Audio subset corresponding to velocity transformations in MTSQ.


Triplets

The triplets/ directory contains precomputed train/validation/test splits for both MTIQ (triplets/MTIQ/) and MTSQ (triplets/MTSQ/), used for training and evaluation.

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