metadata
language:
- bn
license: unknown
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
task_categories:
- question-answering
dataset_info:
- config_name: additional
features:
- name: id
dtype: string
- name: question_stem
dtype: string
- name: choices
sequence:
- name: text
dtype: string
- name: label
dtype: string
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
: astring
feature.question_stem
: astring
feature.choices
: a dictionary feature containing:text
: astring
feature.label
: astring
feature.
answerKey
: astring
feature.
Data Split
Split | Number |
---|---|
train | 4947 |
validation | 500 |
test | 497 |