Datasets:
File size: 2,742 Bytes
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license: cc-by-4.0
task_categories:
- audio-classification
language:
- en
pretty_name: DataSEC v1
tags:
- audio
- sound-event-classification
- environmental-sound
- urban-sound
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path:
- metadata.csv
- PT_DATASET_250314/**/*.wav
drop_labels: false
---
# DataSEC v1
This is a Hugging Face mirror of the CC-BY-4.0 v1 DataSEC archive from Zenodo record [10.5281/zenodo.15340689](https://doi.org/10.5281/zenodo.15340689).
DataSEC is a sound event classification dataset for environmental noise. The files are organized by class, with selected classes further organized by subclass.
Important version note: the latest Zenodo version of DataSEC uses `cc-by-nc-sa-4.0`, so this repository intentionally mirrors the earlier `PT_DATASET_250314.zip` v1 archive, whose Zenodo metadata is `cc-by-4.0`.
## Verified Archive Statistics
The v1 Zenodo description text mentions 5,024 samples and 23 hours 32 minutes. The actual `PT_DATASET_250314.zip` archive downloaded from the CC-BY-4.0 v1 record contains the following verified contents:
| Item | Value |
| --- | ---: |
| WAV files | 3,226 |
| Top-level classes | 22 |
| Subclasses | 15 |
| Total duration | 15.27 hours |
| Audio format | WAV, PCM 16-bit |
| Sample rate | 44,100 Hz |
| Channels | Mono |
## Files
- `PT_DATASET_250314/`: audio files organized by class and subclass.
- `metadata.csv`: metadata for all WAV files, including label, subclass, duration, sample rate, channels, bit depth, and frame count.
- `stats.json`: machine-readable statistics generated from the extracted archive.
## Class Counts
| Class | Files |
| --- | ---: |
| Bells | 67 |
| Birds | 69 |
| Cat fights and moans | 50 |
| Chicken coop | 58 |
| Cicadas and crickets | 66 |
| Crows seagulls and magpies | 101 |
| Dog barkings and howlings | 70 |
| Glass breaking | 109 |
| Horn | 57 |
| Jet aircrafts | 103 |
| Lawn mower brush cutter and olive shaker | 116 |
| Music | 102 |
| Propeller aircrafts | 108 |
| Sirens and alarms | 105 |
| Thunder fireworks and gunshot | 235 |
| Train | 67 |
| Vacuum cleaner fan and hairdryer | 95 |
| Vehicle idling | 112 |
| Vehicle pass-by | 217 |
| Voices | 1,001 |
| Wind turbine | 100 |
| Workshop | 218 |
## Source And Checksum
Source record: [Zenodo 15340689](https://zenodo.org/records/15340689)
Verified upstream MD5 checksum:
- `PT_DATASET_250314.zip`: `1fdc062919d70f43e1864e781b6a2232`
## Citation
```bibtex
@dataset{datasec_v1_2025,
title = {DataSEC - Dataset for Sound Event Classification of environmental noise},
year = {2025},
publisher = {Zenodo},
doi = {10.5281/zenodo.15340689},
url = {https://doi.org/10.5281/zenodo.15340689}
}
```
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