---
language:
- ca
license: cc-by-nc-sa-4.0
task_categories:
- automatic-speech-recognition
- audio-classification
size_categories:
- 1K<n<10K
pretty_name: RAPNIC Dataset
tags:
- speech
- catalan
- accessibility
- speech-disorders
- cerebral-palsy
- down-syndrome
dataset_info:
  features:
  - name: speaker_id
    dtype: string
  - name: filename
    dtype: string
  - name: task_id
    dtype: string
  - name: original_duration
    dtype: float64
  - name: trimmed_duration
    dtype: float64
  - name: timestamp
    dtype: int64
  - name: clean_transcription
    dtype: string
  - name: category
    dtype: string
  - name: reason
    dtype: string
  - name: hasHelper
    dtype: bool
  - name: data_pull
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: transcription
    dtype: string
  - name: audio_id
    dtype: string
  splits:
  - name: train
    num_bytes: 153091646.0
    num_examples: 1000
  download_size: 138733349
  dataset_size: 153091646.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# RAPNIC Dataset (example)

## Dataset Description

This is an example of the full dataset, yet to be published, with 10 audio examples for 72 speakers.

RAPNIC (Reconeixement Automàtic de la Parla No Intel·ligible en Català) is a Catalan speech corpus collected from individuals with speech disorders, specifically cerebral palsy and Down syndrome.

This dataset was collected to develop and improve automatic speech recognition (ASR) systems that are accessible to people with speech disorders who speak Catalan.
### Dataset Statistics

- **Speakers**: 100
- **Recordings**: 1000
- **Total Duration**: 1.33 hours
- **Sampling Rate**: 16 kHz
- **Audio Format**: WAV
- **Language**: Catalan (multiple dialects)

### Disorder Distribution

- **Síndrome de Down**: 510 recordings
- **Paràlisi cerebral**: 340 recordings
- **Sense resposta**: 100 recordings
- **Altres trastorns de la parla**: 40 recordings
- **NA**: 10 recordings

### Gender Distribution

- **Dona**: 550 recordings
- **Home**: 420 recordings
- **Sense resposta**: 30 recordings

### Dialect Distribution

- **Central (Barcelona, Tarragona)**: 650 recordings
- **Girona**: 150 recordings
- **Nord-Occidental (Lleida, Tortosa)**: 180 recordings
- **NA**: 20 recordings

## Data Fields

- `audio`: Audio file (WAV format, 16 kHz)
- 'audio_id': Identifier for each audio
- `speaker_id`: Unique identifier for each speaker (anonymized)
- `filename`: Original filename of the recording
- `task_id`: Task/prompt identifier
- `transcription`: Text that was read/spoken
- `clean_transcription`: Text that was read/spoken in lowercase and without punctuation (? are kept)
- `original_duration`: Duration in seconds before preprocessing
- `trimmed_duration`: Duration in seconds after preprocessing (2s cut from end)
- `category`: Recording category (clean, duplicate, over_threshold)
- `reason`: Additional category information

## Data Collection

The data was collected using a web-based recording platform adapted from Google's Project Euphonia. Participants recorded themselves reading prompts displayed on the screen.

### Preprocessing

- Each recording has 2 seconds trimmed from the end to remove silence
- Duplicate recordings (same speaker, same task) were identified and marked
- Recordings over 10 seconds were flagged for review

### Data Splits

This is a test upload with 10 samples per speaker.
Only clean recordings (no duplicates or over-threshold recordings) are included.

## Ethical Considerations

- All participants provided informed consent
- Data is anonymized (speaker IDs do not contain personally identifiable information)
- The dataset complies with GDPR regulations
- This dataset should be used to improve accessibility technology for people with speech disorders
- Currently, we do not provide the speakers metadata to prevent re-identification

## Citation

If you use this dataset, please cite:

```
[Citation information to be added]
```

## Contact

For questions or access requests, please contact gr.clic@ub.edu

## License

This dataset is released under the Creative Commons Attribution 4.0 International License (CC-BY-NC-SA-4.0).