ENAGRINEWS:An English News Dataset for Agriculture

Abstract

Text mining in agriculture is still lagging behind its application in other domains such as bio-medicine and finance. This might be due to the limited availability of freely available agricultural corpora. To address this issue, a new corpus called ENAGRINEWS has been introduced. The corpus consists of 22,814 agricultural-related documents collected from news sites and blogs between 2020 and 2022 from various agricultural sources and includes 10,999 unique AGROVOC annotations and 12,100 unique entities, with 7,998 of them having PermID URI. The aim of releasing this corpus is to promote and encourage research in Agricultural Text Mining.