Datasets:
tapaco

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Tatoeba is a\ncrowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular\nlinguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links\nbetween sentences \u201cmeaning the same thing\u201d. This graph is then traversed to extract sets of paraphrases. Several language-independent\nfilters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows\nthat between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or\nnear-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 \u2013 250 000\nsentences per language. 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Tatoeba is a\ncrowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular\nlinguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links\nbetween sentences \u201cmeaning the same thing\u201d. This graph is then traversed to extract sets of paraphrases. Several language-independent\nfilters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows\nthat between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or\nnear-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 \u2013 250 000\nsentences per language. It covers a range of languages for which, to our knowledge, no other paraphrase dataset exists. \n", "citation": "@dataset{scherrer_yves_2020_3707949,\n author = {Scherrer, Yves},\n title = {{TaPaCo: A Corpus of Sentential Paraphrases for 73 \n 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": {"paraphrase_set_id": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_id": {"dtype": "string", "id": null, "_type": "Value"}, "paraphrase": {"dtype": "string", "id": null, "_type": "Value"}, "lists": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "tags": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "language": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "tapaco", "config_name": "yue", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 42766, "num_examples": 561, "dataset_name": "tapaco"}}, "download_checksums": {"https://zenodo.org/record/3707949/files/tapaco_v1.0.zip?download=1": {"num_bytes": 32213126, "checksum": "b8463e8087df02ad1a077a12b8316a29fb1e2f3a8dac328841044611e75c67ff"}}, "download_size": 32213126, "post_processing_size": null, "dataset_size": 42766, "size_in_bytes": 32255892}}