| {"kingabzpro--tt_corpora_parliament_processed": {"description": "A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. Tatoeba is a crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular linguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links between sentences \u201cmeaning the same thing\u201d. This graph is then traversed to extract sets of paraphrases. Several language-independent filters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows that between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 \u2013 250 000 sentences per language. It covers a range of languages for which, to our knowledge,no other paraphrase dataset exists.", "citation": "@dataset{scherrer_yves_2020_3707949,\n author = {Scherrer, Yves},\n title = {{TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages}},\n month = mar,\n year = 2020,\n publisher = {Zenodo},\n version = {1.0},\n doi = {10.5281/zenodo.3707949},\n url = {https://doi.org/10.5281/zenodo.3707949}\n}\n", "homepage": "https://zenodo.org/record/3707949#.X9Dh0cYza3I", "license": "Creative Commons Attribution 2.0 Generic", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "tapaco", "config_name": "tt", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 170463, "num_examples": 2398, "dataset_name": "tt_corpora_parliament_processed"}}, "download_checksums": null, "download_size": 96796, "post_processing_size": null, "dataset_size": 170463, "size_in_bytes": 267259}} |