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| 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 | 14,521 | 96.5% | | |
| | eval | 2,217 | 2,161 | 97.5% | | |
| | **total** | **17,269** | **16,682** | **96.6%** | | |
| 37,832 clip-relative event rows in total. Every clip has at least one event. | |
| `missing.tsv` lists the 404 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 | 1,509 | 351 | | |
| | Bark | 6,014 | 541 | | |
| | Cough | 2,032 | 368 | | |
| | Explosion | 1,095 | 186 | | |
| | Gunshot | 3,396 | 353 | | |
| | Laughter | 11,250 | 1,918 | | |
| | Screaming | 1,326 | 270 | | |
| | Vehicle horn | 1,832 | 297 | | |
| | Whispering | 1,581 | 308 | | |
| | Whistling | 2,804 | 401 | | |
| ## Contents | |
| This repository releases **annotations and identifiers**, not audio: | |
| ``` | |
| train_events.csv path,onset,offset,label | |
| eval_events.csv | |
| missing.tsv official clips that were unavailable | |
| short_windows.tsv clips whose source audio ends early | |
| oversize_windows.tsv clips kept at full length | |
| ``` | |
| Event rows use paths of the form | |
| `audio/<split>/<bucket>/<ytid>_<start_ms>.wav`, where `<bucket>` is the first | |
| two hex digits of a CRC32 of the file stem. That is the layout the audio takes | |
| in the companion repository, so the tables apply directly once the audio is | |
| mounted there. | |
| ## Audio | |
| The audio lives in a companion repository, | |
| `LakoreAI/AudioSet-Strong-10-audio` (16,682 clips, same layout), released for | |
| research use subject to the rights of the original uploaders. The annotation | |
| tables here apply to it unchanged. | |
| `<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} | |
| } | |
| ``` | |
| ## Clips whose source audio is short or over-long | |
| 183 clips in `audio_oversize/` are kept exactly as downloaded: the source audio runs past the 10 s window, so they cannot enter the labelled corpus, but they are not discarded. | |
| Clips whose source audio ends slightly before the window are padded with silence to 10.00 s; their true length is listed in `short_windows.tsv` and the events are clipped to it. | |
| ### Why clips are missing | |
| Each missing clip was checked with a metadata request. Of the 404: | |
| - **218** deleted or unavailable at the source | |
| - **125** private | |
| - **59** removed (copyright) | |
| - **2** other errors | |
| None is recoverable: the videos no longer exist in any accessible form, so no | |
| credential or client can fetch them. `missing_reasons.tsv` lists the per-clip cause. | |