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YAML Metadata Warning: The task_categories "audio-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

MTG-Jamendo for L3AC

This dataset is a preprocessed subset of the MTG-Jamendo dataset, prepared for neural audio codec experiments (L3AC).

Structure

train/
eval/
test/

Audio

  • Sample rate: 24 kHz
  • Clip length: 25 seconds

How to Download and Use

using HF library

from datasets import load_dataset

dataset = load_dataset("choihy/mtg-l3ac")

train_ds = dataset["train"]
eval_ds = dataset["eval"]
test_ds = dataset["test"]

Download

pip install huggingface_hub
huggingface-cli download \
  choihy/mtg-l3ac \
  --repo-type dataset \
  --local-dir ./mtg-l3ac \
  --local-dir-use-symlinks False

License

CC BY-NC-SA 4.0
Non-commercial use only.

Citation

@inproceedings{bogdanov2019mtgjamendo,
  title={The MTG-Jamendo Dataset for Music Information Retrieval},
  author={Bogdanov et al.},
  year={2019}
}
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