metadata

language:
  - en
  - ja
license: cc-by-nc-nd-4.0
task_categories:
  - translation
dataset_info:
  features:
    - name: translation
      struct:
        - name: en
          dtype: string
        - name: ja
          dtype: string
  splits:
    - name: train
      num_bytes: 35279668
      num_examples: 158535
  download_size: 20322391
  dataset_size: 35279668
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Dataset Card for TEDtalk-en-ja

Dataset Summary

This corpus is extracted from the MTTT, with Japanese-English pairs. For more information, see website below! (https://www.cs.jhu.edu/~kevinduh/a/multitarget-tedtalks)

MTTT is a collection of multitarget bitexts based on TED Talks (https://www.ted.com). The data is extracted from WIT^3, which is also used for the IWSLT Machine Translation Evaluation Campaigns.

How to use

from datasets import load_dataset
dataset = load_dataset("Hoshikuzu/TEDtalk-en-ja")

If data loading times are too long and boring, use Streaming.

from datasets import load_dataset
dataset = load_dataset("Hoshikuzu/TEDtalk-en-ja", streaming=True)

Data Instances

For example:

{
  'en': "(Applause) David Gallo: This is Bill Lange. I'm Dave Gallo. ",
  'ja': '(拍手)、デイビッド：彼はビル・ラング、私はデイブ・ガロです。'
}

Data Splits

Only a train split is provided.

Licensing Information

The site only states that it is distributed under CC BY-NC-ND and does not specify a version. We have checked and found a notation that seems to indicate CC BY-NC-ND 4.0, so we distribute under CC BY-NC-ND 4.0.

The following is taken from the MTTT distribution website: TED makes its collection available under the Creative Commons BY-NC-ND license. Please acknowledge TED when using this data. We acknowledge the authorship of TED Talks (BY condition). We are not redistributing the transcripts for commercial purposes (NC condition) nor making derivative works of the original contents (ND condition).

Citation Information

@misc{duh18multitarget, author = {Kevin Duh}, title = {The Multitarget TED Talks Task}, howpublished = {\url{http://www.cs.jhu.edu/~kevinduh/a/multitarget-tedtalks/}}, year = {2018}, }