{"url":"/dataset/threatgram-101-extreme-telegram-data","name":"ThreatGram 101 - Extreme Telegram Data","full_name":"ThreatGram 101 - Extreme Telegram Replies Data with Threat Levels","description_markdown":"Data 1: Raw and Unlabeled; 2 million unlabeled replies from 17 Telegram channels.\r\nData 2: Raw and Labeled; 15,076 replies from 17 Telegram channels categorized as no threat, judicial threat, and non-judicial threat.","description_withheld":null,"homepage":"https://data.mendeley.com/datasets/tm9s68vgxd/1","introduced_date":"2024-09-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/threatgram-101-extreme-telegram-replies-data","title":"ThreatGram 101 - Extreme Telegram Replies Data with Threat Levels","first_author":"Kamalakkannan Ravi","url":null},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Classification","url":"/task/text-classification","datasets_with_task":"/datasets/task/text-classification"},{"name":"Text Generation","url":"/task/text-generation","datasets_with_task":"/datasets/task/text-generation"},{"name":"Information Retrieval","url":"/task/information-retrieval","datasets_with_task":"/datasets/task/information-retrieval"},{"name":"Hate Speech Detection","url":"/task/hate-speech-detection","datasets_with_task":"/datasets/task/hate-speech-detection"},{"name":"Violence and Weaponized Violence Detection","url":"/task/violence-and-weaponized-violence-detection","datasets_with_task":"/datasets/task/violence-and-weaponized-violence-detection"},{"name":"Misinformation","url":"/task/misinformation","datasets_with_task":"/datasets/task/misinformation"},{"name":"Short-Text Conversation","url":"/task/short-text-conversation","datasets_with_task":"/datasets/task/short-text-conversation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ThreatGram 101 - Extreme Telegram Data"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/text-classification-on-threatgram-101-extreme","task":"Text Classification","dataset_variant":"ThreatGram 101 - Extreme Telegram Data","rows":4,"metrics":["weighted-F1 score"],"first_row_in_archive_order":{"model":"GPT-2","paper":"/paper/exploring-multi-level-threats-in-telegram","metrics":{"weighted-F1 score":"66.2"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/exploring-multi-level-threats-in-telegram","title":"Exploring Multi-Level Threats in Telegram Data with AI-Human Annotation: A Preliminary Study","date":"2023-12-15","rows_on_this_dataset":4,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}