{"url":"/dataset/lshtc","name":"LSHTC","full_name":null,"description_markdown":"LSHTC is a dataset for large-scale text classification. The data used in the LSHTC challenges originates from two popular sources: the DBpedia and the ODP (Open Directory Project) directory, also known as DMOZ. DBpedia instances were selected from the english, non-regional Extended Abstracts provided by the DBpedia site. The DMOZ instances consist\r\nof either Content vectors, Description vectors or both. A Content vectors is obtained by directly indexing the web page using standard indexing chain (preprocessing, stemming/lemmatization, stop-word removal). \r\n\r\nSource: [LSHTC: A Benchmark for Large-Scale Text Classification](/paper/lshtc-a-benchmark-for-large-scale-text)","description_withheld":null,"homepage":"http://lshtc.iit.demokritos.gr/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/lshtc-a-benchmark-for-large-scale-text","title":"LSHTC: A Benchmark for Large-Scale Text Classification","first_author":"Ioannis Partalas","url":null},"license":{"name":"Unknown","url":null},"modalities":[],"tasks":[{"name":"Text Classification","url":"/task/text-classification","datasets_with_task":"/datasets/task/text-classification"},{"name":"Multi-Label Classification","url":"/task/multi-label-classification","datasets_with_task":"/datasets/task/multi-label-classification"},{"name":"Extreme Multi-Label Classification","url":"/task/extreme-multi-label-classification","datasets_with_task":"/datasets/task/extreme-multi-label-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["LSHTC"],"data_loaders":[],"num_papers_in_archive":18,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}