README.md

metadata

language:
  - bo
  - en
license: cc
size_categories:
  - 1K<n<10K
task_categories:
  - translation
dataset_info:
  features:
    - name: bo
      dtype: string
    - name: en
      dtype: string
    - name: topic
      dtype: string
  splits:
    - name: train
      num_bytes: 396033
      num_examples: 964
  download_size: 148489
  dataset_size: 396033
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

This dataset is the Tibetan-English sentence pairs from the TED2020 dataset.

This dataset is described in Reimers, Nils and Gurevych, Iryna: Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation 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

This data was found using, and downloaded from, OPUS. It was reformatted using the code found here.

The topic labels were generated with easy_text_clustering using the code found here.

Downstream usage must abide by the TED Talks Usage Policy.