Datasets:
Tasks:
Audio Classification
Formats:
soundfolder
Languages:
English
Size:
10K - 100K
ArXiv:
License:
| license: cc-by-4.0 | |
| task_categories: | |
| - audio-classification | |
| language: | |
| - en | |
| pretty_name: GISE-51 | |
| tags: | |
| - audio | |
| - sound-event-classification | |
| - environmental-sound | |
| - sound-event-detection | |
| - scaper | |
| - fsd50k | |
| size_categories: | |
| - 10K<n<100K | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: | |
| - isolated_events/train/metadata.csv | |
| - isolated_events/train/**/*.wav | |
| - split: validation | |
| path: | |
| - isolated_events/val/metadata.csv | |
| - isolated_events/val/**/*.wav | |
| - split: test | |
| path: | |
| - isolated_events/eval/metadata.csv | |
| - isolated_events/eval/**/*.wav | |
| drop_labels: false | |
| # GISE-51 | |
| This is a Hugging Face mirror of the core GISE-51 isolated sound event dataset from Zenodo record [10.5281/zenodo.4593514](https://doi.org/10.5281/zenodo.4593514). | |
| GISE-51 contains 51 isolated sound event classes derived from FSD50K. The upstream release also provides synthetic GISE-51-Mixtures assets. This mirror includes the extracted isolated events, label metadata, noise files, the original JAMS annotation archive for regenerating mixtures, the dataset license file, and `silence_thresholds.txt`. | |
| ## Included Files | |
| - `isolated_events/`: 16,357 mono WAV files, organized as `train`, `val`, and `eval` splits by class. | |
| - `metadata.csv`: root-level metadata for all isolated-event WAV files. | |
| - `isolated_events/{train,val,eval}/metadata.csv`: split-local metadata used by the Hub dataset viewer. | |
| - `meta/lbl_map.json`: 51-class label map from the upstream release. | |
| - `noises/`: background noise files used for mixture generation. | |
| - `mixtures_jams.tar.gz`: original JAMS annotation archive for the mixture subsets. | |
| - `license/LICENSE-DATASET`: upstream CC-BY-4.0 license text. | |
| - `silence_thresholds.txt`: upstream silence filtering thresholds. | |
| The very large pre-rendered mixture audio tarballs and pretrained model archive from the Zenodo record are not expanded in this mirror. The uploaded `mixtures_jams.tar.gz`, `noises/`, and `isolated_events/` assets are the compact, reproducible ingredients for the mixture soundscapes. | |
| ## Statistics | |
| | Item | Value | | |
| | --- | ---: | | |
| | Isolated event files | 16,357 | | |
| | Classes | 51 | | |
| | Train files | 12,465 | | |
| | Validation files | 1,716 | | |
| | Test files | 2,176 | | |
| | Total isolated-event duration | 18.45 hours | | |
| | Audio format | WAV, PCM 16-bit | | |
| | Sample rate | 22,050 Hz | | |
| | Channels | Mono | | |
| Mixture JAMS annotations included: | |
| | Subset | JAMS files | | |
| | --- | ---: | | |
| | train | 60,000 | | |
| | val | 10,000 | | |
| | eval | 10,000 | | |
| | train_30k | 30,000 | | |
| | train_40k | 40,000 | | |
| | train_50k | 50,000 | | |
| | train_p2 | 10,000 | | |
| | train_p3 | 10,000 | | |
| | train_p4 | 10,000 | | |
| | train_p5 | 10,000 | | |
| ## Source And Checksums | |
| Source record: [Zenodo 4593514](https://zenodo.org/records/4593514) | |
| Verified upstream MD5 checksums: | |
| - `isolated_events.tar.gz`: `c68db0b56d5cf036ee6811eece327a09` | |
| - `meta.tar.gz`: `404fbe07e9c429139a9ac2b55ee8931d` | |
| - `license.tar.gz`: `945b211c67babb7eae5c4c0e7cb18794` | |
| - `noises.tar.gz`: `326eb670b9ebb94dd9e305375b04692b` | |
| - `mixtures_jams.tar.gz`: `137e24af27e2950046fc545a0008e40c` | |
| - `silence_thresholds.txt`: `6824cb74b7973036e3c991334b6c047b` | |
| ## Citation | |
| ```bibtex | |
| @article{yadav2021gise51, | |
| title = {GISE-51: A scalable isolated sound events dataset}, | |
| author = {Yadav, Sarthak and Foster, Mary Ellen}, | |
| journal = {arXiv preprint arXiv:2103.12306}, | |
| year = {2021} | |
| } | |
| ``` | |
| GISE-51 is based on FSD50K; please also cite FSD50K when using this dataset. | |