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--- |
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license: cc-by-nc-4.0 |
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dataset_info: |
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features: |
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- name: audio_filename |
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dtype: |
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audio: |
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sampling_rate: 16000 |
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- name: labels |
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sequence: string |
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- name: scores |
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sequence: float64 |
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splits: |
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- name: chunk_0.5s |
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num_bytes: 2335914119.828 |
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num_examples: 408828 |
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- name: 500k_part1_chunk_0.5s |
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num_bytes: 10729355414.456 |
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num_examples: 3103548 |
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- name: chunk_0.25s |
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num_bytes: 2570845459.725 |
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num_examples: 692209 |
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- name: 500k_part2_chunk_0.5s |
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num_bytes: 10547345488.462 |
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num_examples: 3073862 |
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download_size: 30054318161 |
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dataset_size: 26183460482.470993 |
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configs: |
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- config_name: default |
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data_files: |
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- split: chunk_0.5s |
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path: data/chunk_0.5s-* |
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- split: chunk_0.25s |
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path: data/chunk_0.25s-* |
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- split: 500k_part1_chunk_0.5s |
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path: data/500k_part1_chunk_0.5s-* |
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- split: 500k_part2_chunk_0.5s |
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path: data/500k_part2_chunk_0.5s-* |
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task_categories: |
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- audio-classification |
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pretty_name: AudioSet-Chunk |
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--- |
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# AudioSet Chunk |
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Chunk [AudioSet](https://research.google.com/audioset/index.html) every 0.25 seconds and 0.5 seconds and predict using [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593), after that only filter and labels predicted overlapped with the gold labels. |
