{"url":"/dataset/echokg","name":"EchoKG","full_name":null,"description_markdown":"Echo Corpus (Arviv et al, 2021) infused with information from KnowledJe (Halevy, 2023). Algorithm detailed in Algorithm 1 in Section 3.2 of Halevy (2023) (https://arxiv.org/pdf/2304.11223.pdf). 4,630 total tweet samples, 380 labeled as antisemitic hate speech. Files included in https://github.com/enscma2/knowledje and described in its README.md. Potential use cases: detection of antisemitic hate speech.","description_withheld":null,"homepage":"https://github.com/enscma2/knowledje","introduced_date":"2023-04-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-group-specific-approach-to-nlp-for-hate","title":"A Group-Specific Approach to NLP for Hate Speech Detection","first_author":"Karina Halevy","url":null},"license":{"name":"MIT","url":"https://opensource.org/license/mit/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Hate Speech Detection","url":"/task/hate-speech-detection","datasets_with_task":"/datasets/task/hate-speech-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["EchoKG"],"data_loaders":[],"num_papers_in_archive":1,"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."}