---
language:
- bn
license:
- mit
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
task_categories:
- question-answering
pretty_name: CommonsenseQA-BN
dataset_info:
  features:
  - name: question_stem
    dtype: string
  - name: choices
    struct:
    - name: text
      sequence: string
    - name: label
      sequence: string
  - name: answerKey
    dtype: string
  splits:
  - name: train
    num_bytes: 3560823
    num_examples: 9741
  - name: validation
    num_bytes: 439851
    num_examples: 1221
  download_size: 1339311
  dataset_size: 4000674
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
---
## Dataset Summary

This is the Bangla translated version of the [CommonsenseQA](https://huggingface.co/datasets/tau/commonsense_qa) dataset. The dataset was translated using a new method called **Expressive Semantic Translation (EST)**. This method combines both Google Machine Translation and LLM-based rewriting of the translation to enhance the expressiveness and semantic accuracy of the translated content.


## Dataset Structure
### Data instances
#### Defaults

An example of a 'train' looks as follows:

```json
{
  "question_stem": "অনেক অগ্নি নির্বাপক যন্ত্র থাকার সম্ভাবনা কোথায়?",
  "choices": {
    "text": [
      "গ্যারেজ",
      "হাসপাতাল",
      "নৌকা",
      "গৃহ",
      "পুতুল ঘর"
    ],
    "label": [
      "A",
      "B",
      "C",
      "D",
      "E"
    ]
  },
  "answerKey": "B"
}
```

### Data Fields

The data fields are the same among all splits.

#### default
- `id` (`str`): Unique ID.
- `question`: a `string` feature.
- `question_concept` (`str`): ConceptNet concept associated to the question.
- `choices`: a dictionary feature containing:
  - `label`: a `string` feature.
  - `text`: a `string` feature.
- `answerKey`: a `string` feature.


## Data Split
| Split | Number |
| ----- | ------ |
| Train | 9741 |
| Validation | 1221 |

## Dataset Creation

### Curation Rationale

### Source Data

#### Initial Data Collection and Normalization

#### Who are the source language producers?

### Annotations

#### Annotation process

#### Who are the annotators?

### Personal and Sensitive Information

## Considerations for Using the Data

### Social Impact of Dataset

### Discussion of Biases

### Other Known Limitations

## Additional Information

### Dataset Curators

### Licensing Information

The dataset is licensed under the MIT License.

## Citation Information


## Contributions