Update README.md

README.md

@@ -24,36 +24,33 @@ This repository hosts a collection of Wolof speech datasets. The datasets, sourc
 
 ## 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:
+# datasets from Hugging Face sources
 
 ### 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.
+- **Source**: https://huggingface.co/datasets/google/fleurs/viewer/wo_sn
 
-## Other Website Sources
+# datasets from 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.
+- **Authors**: Gauthier, Elodie ; Besacier, Laurent ; Voisin, Sylvie ; Melese, Michael ; Elingui, Uriel Pascal
+- **Title**: Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof
+- **link**: https://aclanthology.org/L16-1611/
 
 ### 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.
+- **Author**: Waxal-Multilingual
+- **Title**: Waxal Speech Data Resources
+- **Link**: https://github.com/Waxal-Multilingual/speech-data/tree/main
 
 ### 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.
+- **Authors**: Diop, Thierno  Ibrahima ; Aw, Demba; Jaane, Ami; Badiane, Mamadou
+- **Title**: WOLOF TTS(Text To Speech) Data
+- **Link**: https://zenodo.org/records/4498861#.YXU2A3X7R-M