Datasets:
metadata
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_0.25s
num_bytes: 2959240485.264
num_examples: 794023
- name: 500k_part1_chunk_0.5s
num_bytes: 11766880091.954
num_examples: 3454394
- name: chunk_0.5s
num_bytes: 2562325630.453
num_examples: 444223
- name: 500k_part2_chunk_0.5s
num_bytes: 11275747759.5
num_examples: 3275100
download_size: 27908043036
dataset_size: 28564193967.170998
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 every 0.25 seconds and 0.5 seconds and predict using MIT/ast-finetuned-audioset-10-10-0.4593, after that only filter and labels predicted overlapped with the gold labels.