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{"plain_text": {"description": "This shared task (part of WMT20) will build on its previous editions\nto further examine automatic methods for estimating the quality\nof neural machine translation output at run-time, without relying\non reference translations. As in previous years, we cover estimation\nat various levels. Important elements introduced this year include: a new\ntask where sentences are annotated with Direct Assessment (DA)\nscores instead of labels based on post-editing; a new multilingual\nsentence-level dataset mainly from Wikipedia articles, where the\nsource articles can be retrieved for document-wide context; the\navailability of NMT models to explore system-internal information for the task.\n\nThe goal of this task 3 is to predict document-level quality scores as well as fine-grained annotations.\n", "citation": "\nNot available.\n", "homepage": "http://www.statmt.org/wmt20/quality-estimation-task.html", "license": "Unknown", "features": {"document_id": {"dtype": "string", "id": null, "_type": "Value"}, "source_segments": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "source_tokenized": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "mt_segments": 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