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Dataset: ted_hrlr 🏷
Update on GitHub

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

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


Data sets derived from TED talk transcripts for comparing similar language pairs where one is high resource and the other is low resource.


  author  = {Ye, Qi and Devendra, Sachan and Matthieu, Felix and Sarguna, Padmanabhan and Graham, Neubig},
  title   = {When and Why are pre-trained word embeddings useful for Neural Machine Translation},
  booktitle = {HLT-NAACL},
  year    = {2018},

Models trained or fine-tuned on ted_hrlr

None yet. Start fine-tuning now =)