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--- |
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language: |
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- bn |
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license: unknown |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- question-answering |
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dataset_info: |
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- config_name: additional |
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features: |
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- name: id |
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dtype: string |
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- name: question_stem |
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dtype: string |
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- name: choices |
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sequence: |
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- name: text |
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dtype: string |
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- name: label |
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dtype: string |
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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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"choices": { |
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"text": ["হেডলাইট আরো তীব্র হয়", "হেডলাইট অন্ধকারে ফিরে যায়", "হেডলাইট একটি ধ্রুবক থাকে", "হেডলাইট বন্ধ"], |
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"label": ["A", "B", "C", "D"] |
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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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## Dataset Creation |
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### Curation Rationale |
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### Source Data |
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#### Initial Data Collection and Normalization |
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#### Who are the source language producers? |
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### Annotations |
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#### Annotation process |
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#### Who are the annotators? |
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### Personal and Sensitive Information |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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### Discussion of Biases |
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### Other Known Limitations |
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## Additional Information |
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### Dataset Curators |
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### Licensing Information |
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## Citation Information |
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## Contributions |