README.md

metadata

language:
  - bn
license: mit
task_categories:
  - question-answering

Data Summary

This is the Bangla translated version of the OpenBookQA dataset. The dataset was translated using a new method called Expressive Semantic Translation (EST), which combines Google Machine Translation with LLM-based rewriting modifications. This method enhances the semantic accuracy and expressiveness of the translated content. OpenBookQA focuses on advanced question-answering, requiring multi-step reasoning, additional common and commonsense knowledge, and rich text comprehension, similar to open-book exams.

Data Details

Data Instances

Defaults

An example of a 'train' looks as follows:

{
  "question_stem": "রাতে যখন একটি গাড়ি আপনার কাছে আসছে",
  "choices": {
    "text": ["হেডলাইট আরো তীব্র হয়", "হেডলাইট অন্ধকারে ফিরে যায়", "হেডলাইট একটি ধ্রুবক থাকে", "হেডলাইট বন্ধ"],
    "label": ["A", "B", "C", "D"]
  },
  "answerKey": "A"
}

Data Fields

default

The data fields are the same among all splits.

• id: a string feature.
• question_stem: a string feature.
• choices: a dictionary feature containing:
  • text: a string feature.
  • label: a string feature.
• answerKey: a string feature.

Data Split

Split	Number
train	4947
validation	500
test	497