/IDRISI

IDRISI-R is the largest-scale publicly-available Twitter Location Mention Recognition (LMR) dataset, in both English and Arabic languages. It contains 41 disaster events of different types such as floods, fires, etc. In addition to tagging LMs in tweets, the LMs were labeled for location types such as countries, cities, streets, POIs, etc.

Primary LanguageJupyter Notebook

IDRISI

IDRISI is the largest-scale publicly-available Twitter Location Mention Prediction (LMP) dataset, in both English and Arabic languages. Named after Muhammad Al-Idrisi👳🏻‍♂️, who is one of the pioneers and founders of the advanced geography.

  • To check the Location Mention Recognition (LMR) datasets, go to the LMR directory.
  • To check the Location Mention Disambiguation (LMD) datasets, go to the LMD directory.

For any inqueries, please create a new issue in the repository or contach us via email: Reem Suwaileh: rs081123@qu.edu.qa Tamer Elsayed: telsayed@qu.edu.qa Muhammad Imran: mimran@hbku.edu.qa