Create README.md

README.md

@@ -0,0 +1,23 @@
+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, especially if the L2/L3 levels are used as the targets.
+
+This is an excellent benchmark for hierarchical multiclass/multilabel text classification.
+Some example approaches are included as code snippets.
+Content
+
+DBPedia dataset with multiple levels of hierarchy/classes, as a multiclass dataset.
+Original DBPedia ontology (triplets data): https://wiki.dbpedia.org/develop/datasets
+Listing of the class tree/taxonomy: http://mappings.dbpedia.org/server/ontology/classes/
+Acknowledgements
+
+Thanks to the Wikimedia foundation for creating Wikipedia, DBPedia and associated open-data goodness!
+
+Thanks to my colleagues at Sparkbeyond (https://www.sparkbeyond.com) for pointing me towards the taxonomical version of this dataset (as opposed to the classic 14 class version)
+Inspiration
+
+    Try different NLP models.
+
+    Compare to the SOTA in Text Classification on DBpedia - https://paperswithcode.com/sota/text-classification-on-dbpedia