The Microsoft Terminology Collection can be used to develop localized versions of applications that integrate with Microsoft products. It can also be used to integrate Microso
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TEP: Tehran English-Persian parallel corpus. The first free Eng-Per corpus, provided by the Natural Language and Text Processing Laboratory, University of Tehran.
It is a benchmark dataset for language identification and contains 235000 paragraphs of 235 languages
\ The dataset extracted from Persian Wikipedia into the form of articles and highlights and cleaned the dataset into pairs of articles and highlights and reduced the articles
This dataset is composed of speech recordings from languages that were carefully selected from the CommonVoice database. The total duration of audio recordings is 45.1 hours (
The Universal Morphology (UniMorph) project is a collaborative effort to improve how NLP handles complex morphology in the world’s languages. The goal of UniMorph is to annota
A Persian translation dataset (Persian -> English).
A Persian query paraphrasing task (paraphrase or not, given two questions). The questions are partly mined using Google auto-complete, and partly translated from Quora paraph
A Persian sentiment analysis task (deciding whether a given sentence contains a particular sentiment).
A Persian reading comprehenion task (generating an answer, given a question and a context paragraph). The questions are mined using Google auto-complete, their answers and th
A Persian textual entailment task (deciding `sent1` entails `sent2`).
A Persian translation dataset (English -> Persian).
persian_news_dataset is a collection of 5 million news articles. News articles have been gathered from more than 10 news agencies for the last 12 years. The dataset is provi
Persian Daily News dataset is a collection of 2 million news articles with the headline of each news article. This dataset contains news articles and their summaries for the l
The Open Super-large Crawled Aggregated coRpus is a huge multilingual corpus obtained by language classification and filtering of the Common Crawl corpus using the goclassy ar