---
annotations_creators: ['no-annotation']
language: ['en']
license: ['mit']
task_categories: ['audio-classification', 'anomaly-detection']
tags: ['dcase', 'audio', 'anomaly-detection']
pretty_name: DCASE 2025 Task 2 Dev
dataset_info:
  features:
  - name: file_id
    dtype: string
  - name: split
    dtype: string
  - name: machine_type
    dtype:
      class_label:
        names:
          '0': bearing
          '1': fan
          '2': gearbox
          '3': slider
          '4': ToyCar
          '5': ToyTrain
          '6': valve
  - name: label
    dtype:
      class_label:
        names:
          '0': normal
          '1': anomaly
          '2': unknown
  - name: domain
    dtype:
      class_label:
        names:
          '0': source
          '1': target
          '2': unknown
  - name: section
    dtype: string
  - name: d1p
    dtype:
      class_label:
        names:
          '0': n
          '1': none
          '2': pro
          '3': v1pat
  - name: d1v
    dtype:
      class_label:
        names:
          '0': 0
          '1': 4
          '2': 5
          '3': A
          '4': B
          '5': C
          '6': D
          '7': E
          '8': F
          '9': X
          '10': Y
          '11': Z
          '12': none
          '13': y
  - name: d2p
    dtype:
      class_label:
        names:
          '0': none
          '1': v2pat
  - name: d2v
    dtype:
      class_label:
        names:
          '0': 0
          '1': 5
          '2': none
  - name: d3p
    dtype:
      class_label:
        names:
          '0': none
  - name: d3v
    dtype:
      class_label:
        names:
          '0': none
  - name: audio_path
    dtype: string
  - name: audio
    dtype: audio
---
# DCASE 2025 Task 2 - Development Dataset
Attributes `d1v`, `d2v`, `d3v` are encoded as **ClassLabels**.
## Usage
```python
from datasets import load_dataset
dataset = load_dataset('HTill/dcase2025_task2_dev', trust_remote_code=True)
```