---
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.