Datasets:
File size: 1,297 Bytes
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---
license: cc-by-nc-4.0
dataset_info:
features:
- name: audio_filename
dtype:
audio:
sampling_rate: 16000
- name: labels
sequence: string
- name: scores
sequence: float64
splits:
- name: chunk_0.5s
num_bytes: 2335914119.828
num_examples: 408828
- name: 500k_part1_chunk_0.5s
num_bytes: 10729355414.456
num_examples: 3103548
- name: chunk_0.25s
num_bytes: 2570845459.725
num_examples: 692209
- name: 500k_part2_chunk_0.5s
num_bytes: 10547345488.462
num_examples: 3073862
download_size: 30054318161
dataset_size: 26183460482.470993
configs:
- config_name: default
data_files:
- split: chunk_0.5s
path: data/chunk_0.5s-*
- split: chunk_0.25s
path: data/chunk_0.25s-*
- split: 500k_part1_chunk_0.5s
path: data/500k_part1_chunk_0.5s-*
- split: 500k_part2_chunk_0.5s
path: data/500k_part2_chunk_0.5s-*
task_categories:
- audio-classification
pretty_name: AudioSet-Chunk
---
# AudioSet Chunk
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. |