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  # Dataset Card for Dataset Name
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- ## Dataset Description
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- - **Homepage:**
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- - **Repository:**
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- - **Paper:**
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- - **Leaderboard:**
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- - **Point of Contact:**
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  ### Dataset Summary
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  The benchmark datasets for document-level machine translation.
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- ### Supported Tasks and Leaderboards
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  Document-level Machine Translation Tasks.
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  ### Data Instances
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- TED: iwslt17, News: nc2016, Europarl: europarl7
 
 
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  ### Data Fields
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- Pure text that each line represents a sentence and multiple lines separated by '<d>' line form a document.
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  ### Data Splits
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  train, dev, test
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- ## Dataset Creation
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- ### Curation Rationale
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- [More Information Needed]
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- ### Source Data
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- #### Initial Data Collection and Normalization
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- [More Information Needed]
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- #### Who are the source language producers?
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- [More Information Needed]
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- ### Annotations
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- #### Annotation process
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- [More Information Needed]
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- #### Who are the annotators?
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- [More Information Needed]
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- ### Personal and Sensitive Information
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- [More Information Needed]
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- ## Considerations for Using the Data
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- ### Social Impact of Dataset
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- [More Information Needed]
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- ### Discussion of Biases
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- [More Information Needed]
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- ### Other Known Limitations
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- [More Information Needed]
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- ## Additional Information
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- ### Dataset Curators
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- [More Information Needed]
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- ### Licensing Information
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- ### Citation Information
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- ### Contributions
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- [More Information Needed]
 
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  ---
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  # Dataset Card for Dataset Name
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  ### Dataset Summary
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  The benchmark datasets for document-level machine translation.
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+ ### Supported Tasks
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  Document-level Machine Translation Tasks.
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  ### Data Instances
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+ TED: iwslt17
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+ News: nc2016
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+ Europarl: europarl7
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  ### Data Fields
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+ Pure text that each line represents a sentence and multiple lines separated by '\<d\>' line form a document.
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  ### Data Splits
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  train, dev, test
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+ ### Data Usage
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+ This dataset is created for the convenience of usage by https://github.com/baoguangsheng/g-transformer