Datasets:

schism-audio
/

datasec-v1

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.

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

Verified upstream MD5 checksum:

PT_DATASET_250314.zip: 1fdc062919d70f43e1864e781b6a2232

Citation

@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}
}