---
dataset_info:
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: transcription
    dtype: string
  - name: language
    dtype: string
  - name: dataset_source
    dtype: string
  - name: duration
    dtype: float64
  splits:
  - name: validation
    num_bytes: 52361033.2
    num_examples: 105
  download_size: 7679166
  dataset_size: 52361033.2
configs:
- config_name: default
  data_files:
  - split: validation
    path: data/validation-*
---


## **Overview**  
This dataset is a curated subset of the [evaluation dataset](https://huggingface.co/datasets/adiren7/darija_speech_to_text), filtered to include only audio samples with durations of less than 4 seconds. These shorter samples typically have high-quality transcriptions, making them ideal for evaluating speech-to-text (STT) models.  

The primary motivation for creating this filtered dataset is to improve **efficiency** in model evaluation, as shorter audio clips require less computational overhead while still maintaining meaningful transcription tasks.  

### **Dataset Summary**  
- **Total Rows**: 105  
- **Filter Applied**: Removed audio samples with durations ≥4 seconds.  

## **Dataset Structure**  

The dataset includes the following columns:  

1. **`audio`**:  
   - Contains the raw audio waveform and metadata.  
   - Stored as a dictionary with:  
     - **`array`**: A list or numpy array of raw audio samples.  
     - **`sampling_rate`**: The sampling rate in Hz.  

2. **`transcription`**:  
   - The textual transcription corresponding to the audio clip.  

3. **`language`**:  
   - The language of the transcription.  
   - Currently, this includes **"moroccan_darija"**, with potential for expansion to include **"amazigh"** in the future.  

4. **`dataset_source`**:  
   - The name of the original dataset source for each sample.  

5. **`duration`**:  
   - The duration of the audio sample in seconds. This field is precomputed during the filtering process.  

## **Example Row**  
```json
{
  "audio": {
    "array": [0.001, 0.002, -0.001, ...],  // Raw waveform data
    "sampling_rate": 16000  // Sampling rate in Hz
  },
  "transcription": "و إلى شفتيها ها وجهي ها وجهك.",
  "language": "moroccan_darija",
  "dataset_source": "adiren7/darija_speech_to_text",
  "duration": 1.539563
}
```  

## **Acknowledgments**  
This dataset is built on the foundation of the [adiren7/darija_speech_to_text](https://huggingface.co/datasets/adiren7/darija_speech_to_text) dataset (validation split to avoid data contamination). 
We extend our gratitude to the creators for providing such valuable data resources.