{"url":"/dataset/assin2","name":"ASSIN2","full_name":null,"description_markdown":"ASSIN2 (Avaliação de Similaridade Semântica e Inferência Textual) is the second edition of a workshop that evaluates Semantic Textual Similarity (STS) and Textual Entailment Recognition (RTE). It was held in conjunction with STIL 2019. Let’s break it down:\r\n\r\n- Semantic Textual Similarity (STS): This task involves quantifying the level of semantic equivalence between two sentences. In other words, it assesses how similar or related two sentences are in terms of meaning.\r\n\r\n- Textual Entailment Recognition (RTE): Here, the goal is to classify whether one sentence entails or logically implies another. Given a pair of sentences, the system determines if the first sentence can be inferred from the second.\r\n\r\nCheck https://link.springer.com/chapter/10.1007/978-3-030-41505-1_39","description_withheld":null,"homepage":"https://www.tensorflow.org/datasets/catalog/assin2","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Text Generation","url":"/task/text-generation","datasets_with_task":"/datasets/task/text-generation"},{"name":"STS","url":"/task/sts","datasets_with_task":"/datasets/task/sts"}],"languages":[],"variants":["ASSIN2","Assin2 RTE"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/nilc-nlp/assin2","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/assin2","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/tensorflow/datasets","url":"https://www.tensorflow.org/datasets/catalog/assin2","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/text-generation-on-assin2-rte","task":"Text Generation","dataset_variant":"Assin2 RTE","rows":0,"metrics":["f1-macro"],"first_row_in_archive_order":null,"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"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."}