| --- |
| 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} |
| } |
| ``` |
|
|
