---
language:
- ku
size_categories:
- 1K<n<10K
task_categories:
- text-to-speech
---
# KurFemTTS Dataset

## Overview
This dataset contains audio chunks and their corresponding textual transcripts in Kurdish. It is designed for Text-to-Speech (TTS) research and development, specifically focusing on female Kurdish speech (as part of the KurFemTTS project).

## Dataset Structure

The dataset consists of audio `.wav` files grouped into tracks and a single metadata file `metadata.csv` that provides the transcription for each audio file.

### Metadata (`metadata.csv`)
The `metadata.csv` file contains 2,994 transcriptions. It has the following columns:
- **`file_name`**: The relative path to the `.wav` audio chunk (e.g., `track1\track1_0001.wav`).
- **`track`**: The source track or session number the chunk was extracted from.
- **`chunk_number`**: The sequential number of the chunk within the track.
- **`sentence`**: The Kurdish text transcription corresponding to the audio chunk.

### Audio Data
- **Format**: WAV (`.wav`)
- **Channels**: Mono
- **Total Duration**: ~10 hours
- **Speaker Profile**: Female (Single speaker)
- The audio files are provided in a compressed `.zip` archive (e.g., `wavs_2026.zip`).
- Total number of audio chunks: 2,994.
- Total size of the zip archive: ~1.36 GB.

## Usage
This dataset can be used to train or fine-tune Text-to-Speech (TTS) models or Automatic Speech Recognition (ASR) systems for the Kurdish language.

To load the dataset using the Hugging Face `datasets` library, you can parse the `metadata.csv` and load the associated `.wav` files.

## Language
- Kurdish (Central Kurdish / Sorani)