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  ---
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  language:
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  - bn
 
 
 
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  ---
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- # OpenBookQA Bengali (BN)
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- This is the translated version of [openbookqa](https://huggingface.co/datasets/allenai/openbookqa) datasets. The datasets were translated using a new method called expressive semantic translation(EST). The method comprises Google machine translation with LLM rewrite-based modification.
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- ## Data details
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- | Split | Number |
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- | ---- | ----- |
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- | train | 4947 |
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- | validation | 500 |
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- | test | 497 |
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- ## Data Sample
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  ```json
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  {
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  "question_stem": "রাতে যখন একটি গাড়ি আপনার কাছে আসছে",
@@ -23,4 +23,23 @@ This is the translated version of [openbookqa](https://huggingface.co/datasets/a
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  },
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  "answerKey": "A"
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  }
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  language:
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  - bn
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+ license: mit
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+ task_categories:
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+ - question-answering
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  ---
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+ ## Data Summary
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+ This is the Bangla translated version of the [OpenBookQA](https://huggingface.co/datasets/allenai/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.
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+ ## Data Details
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+ ### Data Instances
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+ ### Defaults
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+ An example of a 'train' looks as follows:
 
 
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  ```json
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  {
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  "question_stem": "রাতে যখন একটি গাড়ি আপনার কাছে আসছে",
 
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  },
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  "answerKey": "A"
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  }
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+ ```
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+
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+ ### Data Fields
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+ #### default
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+ The data fields are the same among all splits.
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+
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+ - `id`: a `string` feature.
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+ - `question_stem`: a `string` feature.
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+ - `choices`: a dictionary feature containing:
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+ - `text`: a `string` feature.
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+ - `label`: a `string` feature.
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+ - `answerKey`: a `string` feature.
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+
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+ ## Data Split
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+ | Split | Number |
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+ | ---- | ----- |
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+ | train | 4947 |
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+ | validation | 500 |
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+ | test | 497 |
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+