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{"cs-en": {"description": "Translate dataset based on the data from statmt.org.\n\nVersions exists for the different years using a combination of multiple data\nsources. The base `wmt_translate` allows you to create your own config to choose\nyour own data/language pair by creating a custom `datasets.translate.wmt.WmtConfig`.\n\n```\nconfig = datasets.wmt.WmtConfig(\n version=\"0.0.1\",\n language_pair=(\"fr\", \"de\"),\n subsets={\n datasets.Split.TRAIN: [\"commoncrawl_frde\"],\n datasets.Split.VALIDATION: [\"euelections_dev2019\"],\n },\n)\nbuilder = datasets.builder(\"wmt_translate\", config=config)\n```\n\n", "citation": "\n@InProceedings{bojar-EtAl:2017:WMT1,\n author = {Bojar, Ond\u000b{r}ej and Chatterjee, Rajen and Federmann, Christian and Graham, Yvette and Haddow, Barry and Huang, Shujian and Huck, Matthias and Koehn, Philipp and Liu, Qun and Logacheva, Varvara and Monz, Christof and Negri, Matteo and Post, Matt and Rubino, Raphael and Specia, Lucia and Turchi, Marco},\n title = {Findings of the 2017 Conference on Machine Translation (WMT17)},\n booktitle = {Proceedings of the Second Conference on Machine Translation, Volume 2: Shared Task Papers},\n month = {September},\n year = {2017},\n address = {Copenhagen, Denmark},\n publisher = {Association for Computational Linguistics},\n pages = {169--214},\n url = {http://www.aclweb.org/anthology/W17-4717}\n}\n", "homepage": "http://www.statmt.org/wmt17/translation-task.html", "license": "", "features": {"translation": {"languages": ["cs", "en"], "id": null, "_type": "Translation"}}, "supervised_keys": {"input": "cs", "output": "en"}, "builder_name": "wmt17", "config_name": "cs-en", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 674430, "num_examples": 3005, "dataset_name": "wmt17"}, "train": {"name": "train", "num_bytes": 300709796, "num_examples": 1018291, "dataset_name": "wmt17"}, "validation": {"name": "validation", "num_bytes": 707870, "num_examples": 2999, "dataset_name": "wmt17"}}, "download_checksums": {"http://www.statmt.org/wmt13/training-parallel-europarl-v7.tgz": {"num_bytes": 657632379, "checksum": "0224c7c710c8a063dfd893b0cc0830202d61f4c75c17eb8e31836103d27d96e7"}, "http://www.statmt.org/wmt13/training-parallel-commoncrawl.tgz": {"num_bytes": 918311367, "checksum": "c7a74e2ea01ac6c920123108627e35278d4ccb5701e15428ffa34de86fa3a9e5"}, "http://data.statmt.org/wmt17/translation-task/training-parallel-nc-v12.tgz": {"num_bytes": 168591139, "checksum": "2b45f30ef1d550d302fd17dd3a5cbe19134ccc4c2cf50c2dae534aee600101a2"}, "http://data.statmt.org/wmt19/translation-task/dev.tgz": {"num_bytes": 38654961, "checksum": "7a7deccf82ebb05ba508dba5eb21356492224e8f630ec4f992132b029b4b25e7"}}, "download_size": 1783189846, "dataset_size": 302092096, "size_in_bytes": 2085281942}} |