Remove 0.1 version

README.md

@@ -628,10 +628,10 @@ configs:
   - split: train
     path: data/Tunisian_dataset_STT-TTS15s_filtred1.0/train/train-*
 ---
-# LinTO DataSet Audio for Arabic Tunisian v0.1 <br />*A collection of Tunisian dialect audio and its annotations for STT task*
+# LinTO DataSet Audio for Arabic Tunisian <br />*A collection of Tunisian dialect audio and its annotations for STT task*
 
 This is the first packaged version of the datasets used to train the Linto Tunisian dialect with code-switching STT
-([linagora/linto-asr-ar-tn-0.1](https://huggingface.co/linagora/linto-asr-ar-tn-0.1)).
+([linagora/linto-asr-ar-tn](https://huggingface.co/linagora/linto-asr-ar-tn)).
 
 * [Dataset Summary](#dataset-summary)
 * [Dataset composition](#dataset-composition)
@@ -647,11 +647,11 @@ This is the first packaged version of the datasets used to train the Linto Tunis
 
 ## Dataset Summary
 
-The **LinTO DataSet Audio for Arabic Tunisian v0.1** is a diverse collection of audio content including music, documentaries, podcasts, and other types of recordings, along with their corresponding transcriptions. The dataset is primarily focused on supporting speech recognition tasks for the Tunisian dialect, with some instances of code-switching between Tunisian Arabic, French, and English. It is organized into multiple configurations and splits for different experimental setups, making it valuable for Automatic Speech Recognition (ASR) research and development.
+The **LinTO DataSet Audio for Arabic Tunisian** is a diverse collection of audio content including music, documentaries, podcasts, and other types of recordings, along with their corresponding transcriptions. The dataset is primarily focused on supporting speech recognition tasks for the Tunisian dialect, with some instances of code-switching between Tunisian Arabic, French, and English. It is organized into multiple configurations and splits for different experimental setups, making it valuable for Automatic Speech Recognition (ASR) research and development.
 
 ## Dataset Composition
 
-The **LinTO DataSet Audio for Arabic Tunisian v0.1** comprises a diverse range of audio content collected from multiple sources. Below is a breakdown of the dataset’s composition:
+The **LinTO DataSet Audio for Arabic Tunisian** comprises a diverse range of audio content collected from multiple sources. Below is a breakdown of the dataset’s composition:
 
 ### Sources
 
@@ -722,7 +722,7 @@ This composition ensures a comprehensive representation of various audio types a
 from datasets import load_dataset
 
 # dataset will be loaded as a DatasetDict of train and test
-dataset = load_dataset("linagora/linto-dataset-audio-ar-tn-0.1")
+dataset = load_dataset("linagora/linto-dataset-audio-ar-tn")
 ```
 
 Check the containt of dataset:
@@ -748,16 +748,16 @@ segments: [{'end': 14.113, 'start': 0.0, 'transcript': 'أسبقية قبل أن
 Given that some of the corpora used for training and evaluation are available only under CC-BY-4.0 licenses, we have chosen to license the entire dataset under CC-BY-4.0.
 
 ## Citations
-When using the **LinTO DataSet Audio for Arabic Tunisian v0.1** corpus, please cite this page:
+When using the **LinTO DataSet Audio for Arabic Tunisian** corpus, please cite this page:
 
 ```bibtex
 @misc{linagora2024Linto-tn,
-  author = {Hedi Naouara and Jérôme Louradour and Jean-Pierre Lorré and Sarah zribi and Wajdi Ghezaiel},
-  title = {LinTO DataSet Audio for Arabic Tunisian v0.1},
+  author = {Hedi Naouara and Jérôme Louradour and Jean-Pierre Lorré},
+  title = {LinTO Audio and Textual Datasets to Train and Evaluate Automatic Speech Recognition in Tunisian Arabic Dialect},
   year = {2024},
   publisher = {HuggingFace},
   journal = {HuggingFace},
-  howpublished = {\url{https://huggingface.co/datasets/linagora/linto-dataset-audio-ar-tn-0.1}},
+  howpublished = {\url{https://huggingface.co/datasets/linagora/linto-dataset-audio-ar-tn}},
 }
 ```