albertvillanova commented 2 years ago

Source: Masader Project

uid: talaa
entry: https://arbml.github.io/masader/card.html?54
Link: https://github.com/saidziani/Arabic-News-Article-Classification
License : unknown
Year: 2015
Language: ar
Dialect: ar-MSA: (Arabic (Modern Standard Arabic))
Domain: news articles
Form: text
Collection Style: crawling
Description: collections of articles
Volume: 57,827
Unit: documents
Ethical Risks: Low
Provider: USTHB Algeria
Derived From:
Paper Title: Building TALAA, a Free General and Categorized Arabic Corpus
Paper Link: https://www.scitepress.org/Papers/2015/53521/53521.pdf
Script: Arab
Tokenized: No
Host: GitHub
Access: Free
Cost:
Test Split: Yes
Tasks: Topic Classification
Evaluation Set?:
Venue Title: ICAART
Citations: 4
Venue Type: conference
Venue Name: Conference on Agents and Artificial Intelligence
authors: Essma Selab,A. Guessoum
affiliations: ,
abstract: Arabic natural language processing (ANLP) has gained increasing interest over the last decade. However, the development of ANLP tools depends on the availability of large corpora. It turns out unfortunately that the scientific community has a deficit in large and varied Arabic corpora, especially ones that are freely accessible. With the Internet continuing its exponential growth, Arabic Internet content has also been following the trend, yielding large amounts of textual data available through different Arabic websites. This paper describes the TALAA corpus, a voluminous general Arabic corpus, built from daily Arabic newspaper websites. The corpus is a collection of more than 14 million words with 15,891,729 tokens contained in 57,827 different articles. A part of the TALAA corpus has been tagged to construct an annotated Arabic corpus of about 7000 tokens, the POS-tagger used containing a set of 58 detailed tags. The annotated corpus was manually checked by two human experts. The methodology used to construct TALAA is presented and various metrics are applied to it, showing the usefulness of the corpus. The corpus can be made available to the scientific community upon authorisation.
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Notes: The github and the paper states that they are 51K articles but the actual one is 83 articles

albertvillanova commented 2 years ago

The dataset is not available. Need to contact data owners.

apergo-ai commented 2 years ago

self-assign

apergo-ai commented 2 years ago

request for permission sent

albertvillanova commented 2 years ago

Thanks @apergo-ai, any update from the authors?

bigscience-workshop / data_tooling

Create dataset TALAA #290

self-assign