hishab/openbookqa-bn

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

Citation

TituLLMs: A Family of Bangla LLMs with Comprehensive Benchmarking

Github Repository: https://github.com/hishab-nlp/lm-evaluation-harness

@misc{nahin2025titullmsfamilybanglallms,
      title={TituLLMs: A Family of Bangla LLMs with Comprehensive Benchmarking}, 
      author={Shahriar Kabir Nahin and Rabindra Nath Nandi and Sagor Sarker and Quazi Sarwar Muhtaseem and Md Kowsher and Apu Chandraw Shill and Md Ibrahim and Mehadi Hasan Menon and Tareq Al Muntasir and Firoj Alam},
      year={2025},
      eprint={2502.11187},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2502.11187}, 
}