WikiANN, also known as PAN-X, is a multilingual named entity recognition dataset. It consists of Wikipedia articles that have been annotated with LOC (location), PER (person), and ORG (organization) tags in the IOB2 format¹². This dataset serves as a valuable resource for training and evaluating named entity recognition models across various languages.
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The WikiSem500 dataset contains around 500 per-language cluster groups for English, Spanish, German, Chinese, and Japanese (a total of 13,314 test cases).
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This dataset contains information about Japanese word similarity including rare words. The dataset is constructed following the Stanford Rare Word Similarity Dataset. 10 annotators annotated word pairs with 11 levels of similarity.
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