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  ## Dataset Description
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- - **Homepage:** https://github.com/akhtet/myXNLI
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  - **Repository:** https://github.com/akhtet/myXNLI
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- - **Paper:** N/A
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- - **Leaderboard:** N/A
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- - **Point of Contact:** https://github.com/akhtet
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  ### Dataset Summary
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- This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
 
 
 
 
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  ### Supported Tasks and Leaderboards
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- Natural Language Inference
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  ### Languages
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- Myanmar, English
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  ## Dataset Structure
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  ### Data Fields
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- Sentence-1, Sentence-2, Label, Genre
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  ### Data Splits
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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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  ## 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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  https://creativecommons.org/licenses/by-nc/4.0
 
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  ## Dataset Description
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  - **Repository:** https://github.com/akhtet/myXNLI
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+ - **Point of Contact:** Aung Kyaw Htet
 
 
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  ### Dataset Summary
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+ The myXNLI corpus extends XNLI with Myanmar (Burmese) language.
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+ For myXNLI, we human-translated all 7,500 sentence pairs from XNLI English dev and test sets into Myanmar. The NLI and Genre labels from English dev and test sets are also reused for the Myanmar datasets.
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+ The dataset also includes the NLI training data in Myanmar which is created by machine-translating the MultiNLI training data from English into Myanmar. Similar to XNLI, we also reuse the existing NLI and Genre labels for English training data for the Myanmar version.
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  ### Supported Tasks and Leaderboards
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+ Natural Language Inference, Machine Translation
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  ### Languages
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+ Myanmar (Burmese), English
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  ## Dataset Structure
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  ### Data Fields
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+ Sentence-1 (Premise), Sentence-2 (Hypothesis), Label, Genre
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  ### Data Splits
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  ### Annotations
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+ NLI and Genre labels in myXNLI are from MultiNLI (for Training data) and XNLI (for Dev and Test data).
 
 
 
 
 
 
 
 
 
 
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  ## Additional Information
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  ### Licensing Information
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  https://creativecommons.org/licenses/by-nc/4.0