Upload batch human_made_noise_fold1_urbansound8k with 100 non-human audio files

Upload batch non_human_made_noise_10 with 604 non-human audio files

Upload batch non_human_made_noise_9 with 584 non-human audio files

Upload batch non_human_made_noise_8 with 576 non-human audio files

Upload batch non_human_made_noise_7 with 610 non-human audio files

Upload batch non_human_made_noise_6 with 595 non-human audio files

Upload batch non_human_made_noise_5 with 638 non-human audio files

Upload batch non_human_made_noise_4 with 731 non-human audio files

Upload batch non_human_made_noise_2 with 682 non-human audio files

Upload batch non_human_made_noise_2 with 646 non-human audio files

Upload batch non_human_made_noise_1 with 100 non-human audio files

Delete data/vox_final

Delete data/librispeech_asr_full_clean

Upload batch clean_librispeech_asr with 4500 audio files and metadata

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Delete dataset.py

Delete all_data_fixed.csv

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Add 100 distorted_human_speech audio batch

Upload batch distorted_human_speech_librispeech with 4500 audio files and metadata

Upload all_data_fixed.csv

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Update dataset.py

Upload dataset.py

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Upload all_data_fixed.csv

Delete all_data.csv

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Upload all_data.csv

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Upload all_data.csv

Delete data/vox_final/metadata_vox_final.csv

Delete data/librispeech_asr_full_clean/metadata_librispeech_asr_full_clean.csv

Delete all_data.csv

Upload batch vox_final with 50 audio files and metadata

Delete data/voxconverse_dev

Upload batch vox_final with 10 audio files and metadata

Delete data/librispeech_asr_train

Delete data/librispeech_asr

Upload batch librispeech_asr_full_clean with 4500 audio files and metadata

Upload batch librispeech_asr_full_clean with 10 audio files and metadata

Upload all_data.csv

Delete all_data.csv

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