{"url":"/dataset/newstsc","name":"NewsMTSC","full_name":null,"description_markdown":"NewsMTSC is a dataset for target-dependent sentiment classification (TSC) on news articles reporting on policy issues. The dataset consists of more than 11k labeled sentences, which we sampled from news articles from online US news outlets.","description_withheld":null,"homepage":"https://github.com/fhamborg/NewsMTSC","introduced_date":"2021-04-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/newsmtsc-a-dataset-for-multi-target-dependent","title":"NewsMTSC: A Dataset for (Multi-)Target-dependent Sentiment Classification in Political News Articles","first_author":"Felix Hamborg","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["NewsMTSC"],"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."}