Update README.md

README.md

@@ -10,4 +10,50 @@ tags:
 - Audio
 size_categories:
 - 10K<n<100K
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+---
+
+# Wolof Speech Dataset
+
+This repository hosts a collection of Wolof speech datasets. The datasets, sourced from various contributors, are each stored in separate pickle files. Each pickle file contains the following columns:
+
+- **audio**: The audio data in WAV or MP3 format.
+- **transcription**: The corresponding transcriptions of the audio data.
+- **length**(duration(s)): The duration of each audio recording.
+- **filename**: The name of the audio file.
+- **path**: The path to the audio file.
+
+## Dataset Overview
+
+To ensure well-organized and readable code, we have divided the code into separate files, each dedicated to downloading and cleaning a specific dataset. Below are the datasets included in this collection:
+
+### 1. ISMA/ALFFA_WOLOF
+- **Source**: https://huggingface.co/datasets/Isma/alffa_wolof
+- **Processing**: A function was created to extract the audio from the column and save it in a WAV file.
+
+### 2. SERGE-WILSON/WOLOF_SPEECH_TRANSCRIPTION
+- **Source**: Mendy, n.d.
+- **Description**: This dataset contains 14,844 audio rows or speech recordings, totaling 17.75 hours of recordings. The audio column type is 'ByteWAV'.
+- **Processing**: We implemented a function to convert the audio into WAV format before saving the corresponding files.
+
+### 3. PERRYNELSON/WAXAL-WOLOF
+- **Source**: https://huggingface.co/datasets/perrynelson/waxal-wolof
+
+### 4. GOOGLE/FLEURS
+- **Source**: Conneau et al., 2022
+- **Description**: This dataset is a comprehensive collection containing speech-to-text data for hundreds of languages, including low-resource languages like Wolof. It includes 11.2 hours of recordings for the Wolof dataset.
+
+## Other Website Sources
+
+The following datasets were acquired by downloading a zip file containing folders with audio files and a file (CSV or TXT) housing transcriptions along with the paths to the corresponding audio files:
+
+### 1. ALFFA DATASET
+- **Source**: Gauthier, Besacier, Voisin, Melese, & Elingui, 2016
+- **Description**: This dataset comprises various African languages designed for AI projects, aimed at leveraging low-resource African languages for AI applications. It contains 18.97 hours of Wolof recordings.
+
+### 2. WAXAL DATASET
+- **Source**: Waxal-Multilingual, 2022
+- **Description**: This dataset provides a CSV file containing transcriptions and the paths to corresponding audio files, along with a link for downloading the audio files. It includes 7.12 hours of recordings.
+
+### 3. WOLOF TTS DATASET
+- **Source**: Diop, Aw, Jaane, & Badiane, 2021
+- **Description**: The WOLOF TTS dataset presents a well-organized dataset categorized by gender voice. It is the most extensive dataset identified so far, comprising 45.3 hours of recordings.