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- ---
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- language:
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- - bn
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- license:
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- - mit
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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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- features:
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- - name: id
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- dtype: string
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- - name: question
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- dtype: string
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- - name: question_concept
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- dtype: string
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- - name: choices
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- sequence:
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- - name: label
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- dtype: string
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- - name: text
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- dtype: string
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- - name: answerKey
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 0
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- num_examples: 9741
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- - name: validation
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- num_bytes: 0
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- num_examples: 1221
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- - name: test
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- num_bytes: 0
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- num_examples: 1140
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- download_size: 1558570
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- dataset_size: 2739484
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: validation
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- path: data/validation-*
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- - split: test
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- path: data/test-*
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- ---
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- # Commonsense QA Bengali(BN)
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- This is the translated version of [commonsenseqa]() datasets. The datasets were translated by a new method called expressive semantic translation(EST). This translation method comprises both Google machine translation and LLM based rewrite of the translation.
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-
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- ## Data details
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- | Split | Number |
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- | ----- | ------ |
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- | Train | 9741 |
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- | Validation | 1221 |
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- ## Sample data format
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  ```json
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  {
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  "question_stem": "অনেক অগ্নি নির্বাপক যন্ত্র থাকার সম্ভাবনা কোথায়?",
@@ -78,4 +77,63 @@ This is the translated version of [commonsenseqa]() datasets. The datasets were
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  },
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  "answerKey": "B"
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  }
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
2
+ language:
3
+ - bn
4
+ license:
5
+ - mit
6
+ multilinguality:
7
+ - monolingual
8
+ size_categories:
9
+ - 1K<n<10K
10
+ task_categories:
11
+ - question-answering
12
+ dataset_info:
13
+ features:
14
+ - name: id
15
+ dtype: string
16
+ - name: question
17
+ dtype: string
18
+ - name: question_concept
19
+ dtype: string
20
+ - name: choices
21
+ sequence:
22
+ - name: label
23
+ dtype: string
24
+ - name: text
25
+ dtype: string
26
+ - name: answerKey
27
+ dtype: string
28
+ splits:
29
+ - name: train
30
+ num_bytes: 0
31
+ num_examples: 9741
32
+ - name: validation
33
+ num_bytes: 0
34
+ num_examples: 1221
35
+ download_size: 1558570
36
+ dataset_size: 2739484
37
+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ - split: validation
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+ path: data/validation-*
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+ - split: test
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+ path: data/test-*
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+ pretty_name: CommonsenseQA-BN
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+ ---
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+ ## Dataset Summary
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+
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+ 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.
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+
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+
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+ ## Dataset Structure
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+ ### Data instances
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+ #### Defaults
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+
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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": "অনেক অগ্নি নির্বাপক যন্ত্র থাকার সম্ভাবনা কোথায়?",
 
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  },
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  "answerKey": "B"
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  }
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+ ```
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+
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+ ### Data Fields
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+
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+ The data fields are the same among all splits.
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+
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+ #### default
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+ - `id` (`str`): Unique ID.
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+ - `question`: a `string` feature.
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+ - `question_concept` (`str`): ConceptNet concept associated to the question.
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+ - `choices`: a dictionary feature containing:
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+ - `label`: a `string` feature.
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+ - `text`: a `string` feature.
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+ - `answerKey`: a `string` feature.
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+
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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 | 9741 |
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+ | Validation | 1221 |
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ #### Who are the source language producers?
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ #### Who are the annotators?
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+
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+ ### Personal and Sensitive Information
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ ### Discussion of Biases
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+
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+ ### Other Known Limitations
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ ### Licensing Information
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+
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+ The dataset is licensed under the MIT License.
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+
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+ ## Citation Information
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+
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+
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+ ## Contributions