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README.md
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license: cc-by-nc-nd-4.0
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---
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license: cc-by-nc-nd-4.0
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task_categories:
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- translation
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language:
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- en
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- ja
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---
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# Dataset Card for TEDtalk-en-ja
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### Dataset Summary
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This corpus is extracted from the MTTT, with Japanese-English pairs.
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For more information see this website! -> **[(https://www.cs.jhu.edu/~kevinduh/a/multitarget-tedtalks)](https://www.cs.jhu.edu/~kevinduh/a/multitarget-tedtalks)**
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MTTT is a collection of multitarget bitexts based on TED Talks **[(https://www.ted.com)](https://www.ted.com)**.
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The data is extracted from WIT^3, which is also used for the IWSLT Machine Translation Evaluation Campaigns.
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### How to use
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```
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from datasets import load_dataset
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dataset = load_dataset("Hoshikuzu/TEDtalk-en-ja")
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```
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If data loading times are too long and boring, use Streaming.
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```
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from datasets import load_dataset
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dataset = load_dataset("Hoshikuzu/TEDtalk-en-ja", streaming=True)
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```
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## Dataset Structure
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### Data Instances
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For example:
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```json
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{
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'id': 0,
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'score': 1.2499920129776,
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'translation': {
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'en': 'Such is God’s forgiveness.',
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'ja': 'それは神の赦しの故だ。'
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}
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}
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```
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### Data Splits
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Only a `train` split is provided.
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### Licensing Information ###
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The site only states that it is distributed under CC BY-NC-ND and does not specify a version.
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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.
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The following is taken from the MTTT distribution website:
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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).
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### Citation Information
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@misc{duh18multitarget,
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author = {Kevin Duh},
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title = {The Multitarget TED Talks Task},
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howpublished = {\url{http://www.cs.jhu.edu/~kevinduh/a/multitarget-tedtalks/}},
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year = {2018},
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}
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