Datasets:
File size: 4,279 Bytes
289ba83 be48e4a 1ccd054 289ba83 be48e4a 289ba83 be48e4a 289ba83 be48e4a 289ba83 be48e4a 289ba83 be48e4a 289ba83 be48e4a 289ba83 be48e4a 289ba83 be48e4a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 | ---
pretty_name: AudioSet-Strong-10
license: other
license_name: audioset-research-use
license_link: https://creativecommons.org/licenses/by/4.0/
task_categories:
- audio-classification
tags:
- sound-event-detection
- audioset
- strong-labels
- temporal-annotations
size_categories:
- 10K<n<100K
---
# AudioSet-Strong-10
A ten-class, strong-label, 10-second-clip subset of **AudioSet-Strong**, with
clip-relative event onsets and offsets. Built for streaming / bounded-latency
sound event detection, where you need per-event times rather than clip tags.
## Classes
| Class | AudioSet MID |
|---|---|
| Alarm | `/m/07pp_mv` |
| Bark | `/m/05tny_` |
| Cough | `/m/01b_21` |
| Explosion | `/m/014zdl` |
| Gunshot | `/m/032s66` |
| Laughter | `/m/01j3sz` |
| Screaming | `/m/03qc9zr` |
| Vehicle horn | `/m/0912c9` |
| Whispering | `/m/02rtxlg` |
| Whistling | `/m/01w250` |
The official strong annotations contain **15,052 train** and **2,217 eval**
unique 10-second clips for these ten classes.
## Coverage in this release
| Split | Official clips | In this release | Coverage |
|---|---:|---:|---:|
| train | 15,052 | 13,651 | 90.7% |
| eval | 2,217 | 1,888 | 85.2% |
| **total** | **17,269** | **15,539** | **90.0%** |
35,183 clip-relative event rows in total. Every clip has at least one event.
`missing.tsv` lists the 1,730 segment ids that could not be retrieved from
YouTube or from the mirror (the underlying videos are deleted).
Event rows per class (train / eval):
| Class | train | eval |
|---|---:|---:|
| Alarm | 1,430 | 264 |
| Bark | 5,706 | 465 |
| Cough | 1,878 | 323 |
| Explosion | 1,036 | 168 |
| Gunshot | 3,114 | 321 |
| Laughter | 10,702 | 1,682 |
| Screaming | 1,215 | 246 |
| Vehicle horn | 1,729 | 250 |
| Whispering | 1,453 | 263 |
| Whistling | 2,598 | 340 |
## Contents
```
audio/train/<ytid>_<start_ms>.wav 16 kHz mono PCM16, 10 s
audio/eval/<ytid>_<start_ms>.wav
train_events.csv path,onset,offset,label
eval_events.csv
missing.tsv official clips that were unavailable
```
`<ytid>_<start_ms>` is the official AudioSet `segment_id`: the YouTube id and
the start of the 10-second window in milliseconds. `onset`/`offset` are seconds
**inside the clip** (0-10), so a row is directly usable as a strong label.
One clip can have several rows (several labelled events). Every clip has at
least one event from the ten classes above; other AudioSet classes that occur
in the same window are not annotated here.
## Provenance and completeness
1. Segment ids, labels and event times come from the official
`audioset_train_strong.tsv` / `audioset_eval_strong.tsv`
(`storage.googleapis.com/us_audioset`), filtered to the ten MIDs.
2. Audio is the 10-second window containing the labelled event, downloaded
from YouTube with `yt-dlp` and resampled to 16 kHz mono.
3. Clips whose YouTube video is deleted are recovered from the public
`CLAPv2/audioset_strong` mirror (same official windows). Annotation times
still come from the official TSVs; the mirror only supplies audio bytes.
Harvested clips were cross-checked against the mirror's own event list
(zero label mismatches).
YouTube attrition is real: a share of the official videos is permanently
unavailable. `missing.tsv` lists the segment ids that could not be obtained
from either source at build time. Coverage is reported in the dataset card
table below and should be re-checked before any comparison with published
numbers on the complete strong set.
## Licence and credit
- Annotations: **CC BY 4.0**, Google AudioSet (Gemmeke et al., 2017).
- Audio: downloaded from YouTube; rights remain with the original uploaders.
This repository grants no rights over the audio and is released for research
use, mirroring how AudioSet itself distributes the corpus. It may be removed
on request.
- The ten-class selection follows the AudioSet-Strong subset used by the
RED+EPN line of work (Schmid et al.).
## Citation
```bibtex
@misc{audioset_strong_10,
title = {AudioSet-Strong-10: ten-class strong labels with 10-second audio},
author = {LakoreAI},
note = {Subset of AudioSet-Strong (Gemmeke et al., 2017)},
year = {2026},
url = {https://huggingface.co/datasets/LakoreAI/AudioSet-Strong-10}
}
```
|