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  ---
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- pretty_name: AudioSet-Strong-10 (partial, in progress)
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  license: cc-by-4.0
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  task_categories:
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  - audio-classification
 
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  tags:
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  - sound-event-detection
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  - audioset
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  - strong-labels
 
 
 
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  ---
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- # AudioSet-Strong-10 (partial)
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- Ten-class strong-label subset of AudioSet-Strong, downloaded from the official
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- strong TSVs (`audioset_train_strong.tsv`, `audioset_eval_strong.tsv`) using the
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- clip IDs and 10 s windows. This is a **work in progress**: the download is
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- paced to respect YouTube limits and the repository grows as clips arrive.
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  ## Classes
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- Alarm, Bark, Cough, Explosion, Gunshot, Laughter, Screaming, Vehicle horn,
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- Whispering, Whistling.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- Official strong labels contain 15,052 train / 2,217 eval unique clips for these
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- classes (the paper's ten-class release is 15,829 / 2,394).
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  ## Contents
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  ```
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- audio/train/<ytid>_<startms>.wav 16 kHz mono PCM16, 10 s
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- <split>_events.csv path,onset,offset,label (clip-relative)
 
 
 
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  ```
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  ## Licence and credit
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- - AudioSet labels: CC BY 4.0, Google AudioSet (Gemmeke et al., 2017).
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- - Audio is downloaded from YouTube; all rights remain with the original
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- uploaders. Research use only; this repository grants no broader rights.
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- - The ten-class selection follows the AudioSet-Strong subset used by
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- RED+EPN (Schmid et al., arXiv:2601.04178).
 
 
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  ## Citation
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- Cite AudioSet and the strong-label release (Hershey et al., ICASSP 2021) plus
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- the RED+EPN paper for the class selection.
 
 
 
 
 
 
 
 
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  ---
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+ pretty_name: AudioSet-Strong-10
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  license: cc-by-4.0
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  task_categories:
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  - audio-classification
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+ - audio-tagging
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  tags:
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  - sound-event-detection
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  - audioset
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  - strong-labels
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+ - temporal-annotations
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+ size_categories:
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+ - 10K<n<100K
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  ---
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+ # AudioSet-Strong-10
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+ A ten-class, strong-label, 10-second-clip subset of **AudioSet-Strong**, with
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+ clip-relative event onsets and offsets. Built for streaming / bounded-latency
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+ sound event detection, where you need per-event times rather than clip tags.
 
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  ## Classes
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+ | Class | AudioSet MID |
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+ |---|---|
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+ | Alarm | `/m/07pp_mv` |
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+ | Bark | `/m/05tny_` |
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+ | Cough | `/m/01b_21` |
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+ | Explosion | `/m/014zdl` |
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+ | Gunshot | `/m/032s66` |
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+ | Laughter | `/m/01j3sz` |
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+ | Screaming | `/m/03qc9zr` |
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+ | Vehicle horn | `/m/0912c9` |
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+ | Whispering | `/m/02rtxlg` |
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+ | Whistling | `/m/01w250` |
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+
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+ The official strong annotations contain **15,052 train** and **2,217 eval**
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+ unique 10-second clips for these ten classes.
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+
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+ ## Coverage in this release
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+
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+ | Split | Official clips | In this release | Coverage |
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+ |---|---:|---:|---:|
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+ | train | 15,052 | 13,651 | 90.7% |
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+ | eval | 2,217 | 1,888 | 85.2% |
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+ | **total** | **17,269** | **15,539** | **90.0%** |
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+
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+ 35,183 clip-relative event rows in total. Every clip has at least one event.
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+ `missing.tsv` lists the 1,730 segment ids that could not be retrieved from
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+ YouTube or from the mirror (the underlying videos are deleted).
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+
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+ Event rows per class (train / eval):
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+
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+ | Class | train | eval |
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+ |---|---:|---:|
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+ | Alarm | 1,430 | 264 |
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+ | Bark | 5,706 | 465 |
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+ | Cough | 1,878 | 323 |
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+ | Explosion | 1,036 | 168 |
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+ | Gunshot | 3,114 | 321 |
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+ | Laughter | 10,702 | 1,682 |
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+ | Screaming | 1,215 | 246 |
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+ | Vehicle horn | 1,729 | 250 |
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+ | Whispering | 1,453 | 263 |
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+ | Whistling | 2,598 | 340 |
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  ## Contents
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  ```
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+ audio/train/<ytid>_<start_ms>.wav 16 kHz mono PCM16, 10 s
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+ audio/eval/<ytid>_<start_ms>.wav
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+ train_events.csv path,onset,offset,label
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+ eval_events.csv
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+ missing.tsv official clips that were unavailable
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  ```
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+ `<ytid>_<start_ms>` is the official AudioSet `segment_id`: the YouTube id and
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+ the start of the 10-second window in milliseconds. `onset`/`offset` are seconds
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+ **inside the clip** (0-10), so a row is directly usable as a strong label.
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+
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+ One clip can have several rows (several labelled events). Every clip has at
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+ least one event from the ten classes above; other AudioSet classes that occur
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+ in the same window are not annotated here.
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+
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+ ## Provenance and completeness
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+
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+ 1. Segment ids, labels and event times come from the official
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+ `audioset_train_strong.tsv` / `audioset_eval_strong.tsv`
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+ (`storage.googleapis.com/us_audioset`), filtered to the ten MIDs.
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+ 2. Audio is the 10-second window containing the labelled event, downloaded
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+ from YouTube with `yt-dlp` and resampled to 16 kHz mono.
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+ 3. Clips whose YouTube video is deleted are recovered from the public
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+ `CLAPv2/audioset_strong` mirror (same official windows). Annotation times
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+ still come from the official TSVs; the mirror only supplies audio bytes.
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+ Harvested clips were cross-checked against the mirror's own event list
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+ (zero label mismatches).
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+
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+ YouTube attrition is real: a share of the official videos is permanently
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+ unavailable. `missing.tsv` lists the segment ids that could not be obtained
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+ from either source at build time. Coverage is reported in the dataset card
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+ table below and should be re-checked before any comparison with published
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+ numbers on the complete strong set.
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+
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  ## Licence and credit
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+ - Annotations: **CC BY 4.0**, Google AudioSet (Gemmeke et al., 2017).
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+ - Audio: downloaded from YouTube; rights remain with the original uploaders.
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+ This repository grants no rights over the audio and is released for research
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+ use, mirroring how AudioSet itself distributes the corpus. It may be removed
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+ on request.
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+ - The ten-class selection follows the AudioSet-Strong subset used by the
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+ RED+EPN line of work (Schmid et al.).
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  ## Citation
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+ ```bibtex
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+ @misc{audioset_strong_10,
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+ title = {AudioSet-Strong-10: ten-class strong labels with 10-second audio},
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+ author = {LakoreAI},
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+ note = {Subset of AudioSet-Strong (Gemmeke et al., 2017)},
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+ year = {2026},
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+ url = {https://huggingface.co/datasets/LakoreAI/AudioSet-Strong-10}
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+ }
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+ ```