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Update parquet files
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README.md
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---
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annotations_creators: []
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language: []
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language_creators: []
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license: []
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multilinguality: []
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pretty_name: Mel spectrograms of music
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size_categories:
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- 10K<n<100K
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source_datasets: []
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tags:
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- audio
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- spectrograms
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task_categories:
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- image-to-image
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task_ids: []
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---
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Over 20,000 256x256 mel spectrograms of 5 second samples of music from my Spotify liked playlist. The code to convert from audio to spectrogram and vice versa can be found in https://github.com/teticio/audio-diffusion along with scripts to train and run inference using De-noising Diffusion Probabilistic Models.
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```
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x_res = 256
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y_res = 256
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sample_rate = 22050
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n_fft = 2048
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hop_length = 512
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```
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dataset_infos.json
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{"teticio--audio-diffusion-256": {"description": "", "citation": "", "homepage": "", "license": "", "features": {"image": {"decode": true, "id": null, "_type": "Image"}, "audio_file": {"dtype": "string", "id": null, "_type": "Value"}, "slice": {"dtype": "int16", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": null, "config_name": null, "version": null, "splits": {"train": {"name": "train", "num_bytes": 955690144.625, "num_examples": 21571, "dataset_name": "audio-diffusion-256"}}, "download_checksums": null, "download_size": 954294651, "post_processing_size": null, "dataset_size": 955690144.625, "size_in_bytes": 1909984795.625}}
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data/train-00000-of-00002-825e8f482020b53d.parquet → teticio--audio-diffusion-256/parquet-train-00000-of-00002.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:7d0705704225ea6f4e40e4dac4c5a168ca7ca5cebfef498cc9d7357714812503
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size 919935388
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data/train-00001-of-00002-25cda151381e8e10.parquet → teticio--audio-diffusion-256/parquet-train-00001-of-00002.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:030bc46e523a7116421a292b7850061a6531a3400b0352009ce45e3529ba1234
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size 34425126
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