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Dataset: iwslt2017 🏷
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How to load this dataset directly with the πŸ€—/datasets library:

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from datasets import load_dataset dataset = load_dataset("iwslt2017")


The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five: German, English, Italian, Dutch, Romanian. For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.


Address = {Trento, Italy},
Author = {Mauro Cettolo and Christian Girardi and Marcello Federico},
Booktitle = {Proceedings of the 16$^{th}$ Conference of the European Association for Machine Translation (EAMT)},
Date = {28-30},
Month = {May},
Pages = {261--268},
Title = {WIT$^3$: Web Inventory of Transcribed and Translated Talks},
Year = {2012}}

Models trained or fine-tuned on iwslt2017

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