Opus100

• Source: https://huggingface.co/datasets/opus100
• Num examples:
  • 1,000,000 (train)
  • 2,000 (validation)
  • 192,744 (test)
• Language: English

from datasets import load_dataset

load_dataset("tdtunlp/opus100_envi")

• Format for Translation task

def preprocess(
    sample,
    instruction_key="### Instruction:",
    input_key="Input:",
    response_key="<|endofprompt|>",
    end_key="<|endoftext|>",
    en2vi=True,
):
    if en2vi:
        if random.random() < 0.5:
            instruction = "Translate the following sentences from English into Vietnamese."
        else:
            instruction = "Dịch các câu sau từ tiếng Anh sang tiếng Việt."
        
        input = sample['en'].strip()
        response = sample['vi'].strip()
    else:
        if random.random() < 0.5:
            instruction = "Translate the following sentences from Vietnamese into English."
        else:
            instruction = "Dịch các câu sau từ tiếng Việt sang tiếng Anh."
        
        input = sample['vi'].strip()
        response = sample['en'].strip()

    return {'text': """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
{instruction_key}
{instruction}
{input_key} 
{input}
{response_key}
{response}
{end_key}""".format(
    instruction_key=instruction_key,
    instruction=instruction,
    input_key=input_key,
    input=input,
    response_key=response_key,
    response=response,
    end_key=end_key,
)}

"""
Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
### Instruction:
Dịch các câu sau từ tiếng Anh sang tiếng Việt.
Input: 
Toast falls jelly-side down, children hit tables and people get hurt.
<|endofprompt|>
Bánh mì nướng rơi đông lại, trẻ con va vào bàn và con người bị thương.
<|endoftext|>
"""