Datasets:
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README.md
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data_files:
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- split: train
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path: data/train-*
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---
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data_files:
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- split: train
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path: data/train-*
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license: cc
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task_categories:
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- translation
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language:
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- bo
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- en
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size_categories:
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- 1K<n<10K
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---
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This dataset is the Tibetan-English sentence pairs from the TED2020 dataset.
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This dataset is described in [Reimers, Nils and Gurevych, Iryna: Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation](https://arxiv.org/abs/2004.09813) and contains a crawl of nearly 4000 TED and TED-X transcripts from July 2020. The transcripts have been translated by a global community of volunteers to more than 100 languages. The parallel corpus and the code for creating it is available from [https://www.ted.com/participate/translate](https://www.ted.com/participate/translate)
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This data was found using, and downloaded from, [OPUS](https://opus.nlpl.eu/). It was reformatted using [the code found here](https://github.com/billingsmoore/MLotsawa/blob/main/Notebooks/Datasets/TED2020/ConvertToDatasetFormat.ipynb).
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Downstream usage must abide by the [TED Talks Usage Policy](https://www.ted.com/about/our-organization/our-policies-terms/ted-talks-usage-policy).
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