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--- |
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language: |
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- bo |
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- en |
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license: cc |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- translation |
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dataset_info: |
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features: |
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- name: bo |
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dtype: string |
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- name: en |
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dtype: string |
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- name: topic |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 396033 |
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num_examples: 964 |
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download_size: 148489 |
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dataset_size: 396033 |
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configs: |
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- config_name: default |
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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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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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The topic labels were generated with [easy_text_clustering](https://pypi.org/project/easy-text-clustering/) using [the code found here](https://github.com/billingsmoore/MLotsawa/blob/main/Notebooks/Datasets/TED2020/TopicLabeling.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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