Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
Bengali
Size:
10K - 100K
License:
File size: 2,675 Bytes
b8d41f1 326af4d b8d41f1 326af4d b8d41f1 326af4d b8d41f1 326af4d b8d41f1 ef88c3f 197af66 ef88c3f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 |
---
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 |