DeveloperOats/DBPedia_Classes
About Dataset DBpedia (from "DB" for "database") is a project aiming to extract structured content from the information created in Wikipedia. This is an extract of the data (after cleaning, kernel included) that provides taxonomic, hierarchical categories ("classes") for 342,782 wikipedia articles. There are 3 levels, with 9, 70 and 219 classes respectively. A version of this dataset is a popular baseline for NLP/text classification tasks. This version of the dataset is much tougher… See the full description on the dataset page: https://huggingface.co/datasets/DeveloperOats/DBPedia_Classes.
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