Update parquet files

.gitattributes

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-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bin.* filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
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data/eval-00000-of-00001.parquet → DeskDown--ALTDataset_en-to-fil-vi-id-ms-ja-khm/parquet-eval.parquet

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data/test-00000-of-00001.parquet → DeskDown--ALTDataset_en-to-fil-vi-id-ms-ja-khm/parquet-test.parquet

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data/train-00000-of-00001.parquet → DeskDown--ALTDataset_en-to-fil-vi-id-ms-ja-khm/parquet-train.parquet

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README.md

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-__Introduction__  
-The ALT project aims to advance the state-of-the-art Asian natural language processing (NLP) techniques
- through the open collaboration for developing and using ALT. It was first conducted by NICT and UCSY 
- as described in Ye Kyaw Thu, Win Pa Pa, Masao Utiyama, Andrew Finch and Eiichiro Sumita (2016). 
- Then, it was developed under ASEAN IVO as described in this Web page. The process of building ALT 
- began with sampling about 20,000 sentences from English Wikinews, and then these sentences were 
- translated into the other languages. ALT now has 13 languages: 
- Bengali, English, Filipino, Hindi, Bahasa Indonesia, Japanese, Khmer, Lao, Malay, Myanmar (Burmese), 
- Thai, Vietnamese, Chinese (Simplified Chinese).
-
-In this dataset you can find parallel corpus of fil, vi, id, ms, ja, khm languages.
-Dataset is tokenized using mbart50-like tokenizer. (To be added soon)
-Tokens are padded\truncated at a size of 128.