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README.md CHANGED
@@ -1,50 +1,45 @@
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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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- 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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- pretty_name: CommonsenseQA-BN
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- ---
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  ## Dataset Summary
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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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+ 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:
11
+ - question-answering
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+ pretty_name: CommonsenseQA-BN
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+ dataset_info:
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+ features:
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+ - name: passage
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+ dtype: string
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+ - name: question
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+ dtype: string
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+ - name: answer
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_bytes: 17597411
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+ num_examples: 1511
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+ - name: test
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+ num_examples: 947
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+ - name: validation
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+ num_bytes: 5412002
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+ num_examples: 552
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+ download_size: 738531
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+ dataset_size: 29871223
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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: test
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+ path: data/test-*
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+ - split: validation
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+ path: data/validation-*
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+ ---
 
 
 
 
 
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  ## Dataset Summary
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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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