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Update README.md

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@@ -21,7 +21,7 @@ The dataset is stored in **JSON Lines format**, and is particularly useful for t
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  models on **arithmetic reasoning and instruction-following tasks** in Malagasy, a low-resource language.
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  ## Dataset Details
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- - **Source**: Translated and adapted from [grade-school-math-instructions](https://huggingface.co/datasets/qwedsacf/grade-school-math-instructions)
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  - **Granularity**: Each row contains **one math problem and solution pair**
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  ## Potential Applications
@@ -40,4 +40,5 @@ To load this dataset using the Hugging Face `datasets` library:
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  from datasets import load_dataset
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  dataset = load_dataset('Lo-Renz-O/grade-school-math-instructions-MG')
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- print(dataset['train'][0])
 
 
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  models on **arithmetic reasoning and instruction-following tasks** in Malagasy, a low-resource language.
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  ## Dataset Details
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+ - **Source**: Adapted from [grade-school-math-instructions](https://huggingface.co/datasets/qwedsacf/grade-school-math-instructions)
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  - **Granularity**: Each row contains **one math problem and solution pair**
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  ## Potential Applications
 
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  from datasets import load_dataset
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  dataset = load_dataset('Lo-Renz-O/grade-school-math-instructions-MG')
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+ print(dataset['train'][0])
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+ ```