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README.md
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---
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language:
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- bn
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---
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This is the translated version of [
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## Data
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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",
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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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### Data Fields
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#### default
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The data fields are the same among all splits.
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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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## 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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