Ko-Yin-Maung's picture
Update README.md
d70917f verified
metadata
task_categories:
  - translation
  - text2text-generation
  - question-answering
size_categories:
  - 10K<n<100K
license: apache-2.0
language:
  - my
  - en

πŸ‘¨β€πŸ’» English <--> Myanmar Translation Dataset

  • English and Myanmar (Burmese) α€”α€Ύα€…α€Ία€˜α€¬α€žα€¬α€€α€­α€― α€…α€―α€†α€±α€¬α€„α€Ία€Έα€•α€±α€Έα€‘α€¬α€Έα€žα€±α€¬ dataset α€–α€Όα€…α€Ία€•α€«α€α€šα€Ία‹
  • Machine Translation α€œα€―α€•α€Ία€„α€”α€Ία€Έα€…α€‰α€Ία€™α€Ύα€¬ တစ်ထောင့်တစ်နေရာက α€‘α€‘α€±α€¬α€€α€Ία€‘α€€α€°α€•α€Όα€―α€”α€­α€―α€„α€Ία€œα€­α€™α€·α€Ία€™α€šα€Ία€œα€­α€―α€· α€™α€»α€Ύα€±α€¬α€Ία€œα€„α€·α€Ία€™α€­α€•α€«α€α€šα€Ία‹
  • Samples ပေါင်း 13911 α€›α€Ύα€­α€•α€«α€α€šα€Ία‹

How to use

from datasets import load_dataset
dataset = load_dataset("Ko-Yin-Maung/Eng2Mm-Translation")

output

DatasetDict({
    train: Dataset({
        features: ['input', 'output'],
        num_rows: 12645
    })
})

Samples

print(dataset['train']['input'][0:5])
print(dataset['train']['output'][0:5])

output

['I am happy.', 'I am nervous.', 'I am confused.', 'I am excited.', 'I am very happy.']
['ကျွန်တော် α€•α€»α€±α€¬α€Ία€α€šα€Ία‹', 'ကျွန်တော် α€…α€­α€α€Ία€›α€Ύα€―α€•α€Ία€‘α€½α€±α€Έα€α€šα€Ία‹', 'ကျွန်တော် ဝေခွဲမရ α€›α€Ύα€―α€•α€Ία€‘α€½α€±α€Έα€”α€±α€α€šα€Ία‹', 'ကျွန်တော် α€…α€­α€α€Ία€œα€Ύα€―α€•α€Ία€›α€Ύα€¬α€Έα€α€šα€Ία‹', 'ကျွန်တော် α€žα€­α€•α€Ία€•α€»α€±α€¬α€Ία€α€šα€Ία‹']

α€œα€½α€α€Ία€œα€•α€Ία€…α€½α€¬ α€€α€°α€Έα€šα€° α€œα€±α€·α€œα€¬α€α€½α€„α€·α€Ί α€›α€Ύα€­α€žα€Šα€Ία‹

(α€œα€±α€·α€œα€¬α€α€Όα€„α€Ία€Έα€–α€Όα€„α€·α€Ί ကျွန်ုပ်တို့၏ မနက်ဖြန်များကို α€–α€Όα€α€Ία€žα€”α€Ία€Έα€€α€Όα€•α€«α€…α€­α€―α€·..။)

@Created by Myanmar Innovative Group (MIG)