Create README.md

README.md

@@ -0,0 +1,60 @@
+---
+pretty_name: 'Dialect of Tunisia a Collection of Works'
+---
+# Dialect of Tunisia a Collection of Works :
+
+
+This repository compiles a variety of Tunisian NLP projects to create a comprehensive text-based dataset for diverse applications. It exclusively features Tunisian dialect written in Arabic script and includes code-switching with other languages such as French, English, and Italian. The corpus comprises a total of 70 million GPT-4 tokens. Light Preprocessing has been done on these source datasets to remove negative text , repetitive tokens , emojies, and non-arabic letters dialect
+
+
+### Data :
+Below are the individual datasets that are combined in this work 
+
+* ###  [Arbi-Houssem/Tunisian_dataset_STT-TTS15s_filtred_organiser_Mixed](https://huggingface.co/datasets/Arbi-Houssem/Tunisian_dataset_STT-TTS15s_filtred_organiser_Mixed) : 
+A speech to text dataset where we consider the target sentences ,we keep transcript as  is 
+
+* ### [linagora/linto-asr-ar-tn-0.1](https://huggingface.co/linagora/linto-asr-ar-tn-0.1) :
+An ASR dataset representing a collection of various sources. Sources are . Youtube_TNScrapped, TunswitchTO , TunswitchCS, ApprendreLeTunisien ,Taric, OneStorym we keep sentences as is
+
+ * ### [Tunisian Arabic Dialects Identification(TADI): ](https://github.com/instadeepai/tunbert) :
+It is a binary classification task consisting of classifying Tunisian dialect and Non Tunisian dialect from an Arabic dialectical dataset.
+we only extract rows identified as tunisian dialect
+ * ### Tunisian Algerian Dialect(TAD) (https://github.com/instadeepai/tunbert): 
+It is a binary classification task consisting of classifying Tunisian dialect and Algerian dialect from an Arabic dialectical dataset.
+we only extract rows identified as tunisian dialect
+
+ * ###  [khaled123/tunninjaar](https://huggingface.co/datasets/khaled123/tunninjaar):
+A dataset extracted from : https://derja.ninja/
+
+ * ###  [Hala-Mulki T-HSAB-A-Tunisian-Hate-Speech-and-Abusive-Dataset](https://github.com/Hala-Mulki/T-HSAB-A-Tunisian-Hate-Speech-and-Abusive-Dataset):
+the first Arabic Tunisian Hate Speech and Abusive Language Dataset proposed in the The 7th International Conference on Arabic Language Processing October
+only comsider rows marked as non hate speech
+
+ * ### [Tunisian Reading Comprehension Dataset](https://github.com/instadeepai/tunbert):
+A Question-Answering dataset for Tunisian dialect. Use of dialectal version of the Tunisian constitution . It is composed of 144 documents where each document has exactly 3 paragraphs and three Question-Answer pairs are assigned to each paragraph. 
+
+ * ### [Naim Mhedhbi Tunisian Dialect Corpus v0](https://www.kaggle.com/datasets/naim99/ts-naim-mhedhbi) :
+40000 comments and posts from facebook, labeled  as  positive / negative/ neutral , 
+we only consider positive and neutral rows
+
+ * ### TSAC (Tunisian Sentiment Analysis Corpus)(https://paperswithcode.com/dataset/tsac)
+Tunisian Sentiment Analysis Corpus (TSAC) is a Tunisian Dialect corpus of 17.000 comments from Facebook.
+
+ * ###  [khaled123/Testtun](https://huggingface.co/datasets/khaled123/Testtun):
+
+ * ###  [khaled123/Tuniset](https://huggingface.co/datasets/khaled123/tuniset):
+
+| Dataset  | Token Count |
+|----------|----------|
+| arbi_houssem-tunisian-dataset_stt_tts15s_filtered1.0 1    | 129207  | 
+| maal-32173-Tunisian_Revolution_Arabic-2011-2022    | 11538264  | 
+| TAD   | 41434   | 
+| TADI   | 891750   | 
+| testtun-khaldoun   | 18356271   | 
+| thsab   | 289310   | 
+|  ts-naim-mhedhbi   | 224434   | 
+| tsac   | 97085   | 
+| tuninjar   | 13056137   | 
+| tuniset   | 22584964   | 
+| linagoraSTT   | 2003450   | 
+| Total   | 69422659   |