Datasets:
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README.md
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---
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dataset_info:
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features:
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- name: audio_filename
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path: data/chunk_0.25s-*
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task_categories:
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- audio-classification
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---
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# AudioSet Chunk
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Chunk 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.
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## Statistics
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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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path: data/chunk_0.25s-*
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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.
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Only chunk on [balanced_train_segments.zip](https://huggingface.co/datasets/confit/audioset-full/blob/main/balanced/balanced_train_segments.zip) and [eval_segments.zip](https://huggingface.co/datasets/confit/audioset-full/blob/main/eval/eval_segments.zip).
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## Statistics
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