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  ---
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- dataset_info:
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- features:
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- - name: problem
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- dtype: string
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- - name: level
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- dtype: string
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- - name: type
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- dtype: string
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- - name: solution
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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: 9452394
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- num_examples: 12000
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- download_size: 4601327
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- dataset_size: 9452394
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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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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: apache-2.0
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+ task_categories:
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+ - text-generation
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+ - question-answering
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+ language:
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+ - en
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # MATH (minus MATH-500)
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+
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+ This dataset is derived from the original MATH dataset by Hendrycks et al.
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+ ([qwedsacf/competition_math](https://huggingface.co/datasets/qwedsacf/competition_math)) with all problems from the MATH-500 benchmark set removed.
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+
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+  
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+ ## Construction
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+
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+ - Source: 12,500 problems from the MATH dataset by Hendrycks et al. ([qwedsacf/competition_math](https://huggingface.co/datasets/qwedsacf/competition_math))
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+ - Benchmark held out: 500 problems from the MATH-500 dataset ([HuggingFaceH4/MATH-500](https://huggingface.co/datasets/HuggingFaceH4/MATH-500))
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+ - Matching criterion: exact match on the `problem` field (see https://github.com/rasbt/math_full_minus_math500 for code to prepare the dataset)
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+ - Remaining size: 12,000 problems
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+ - Additionally, an `"answer"` field was added to the entries in the MATH dataset that contains the short answer similar to MATH-500
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+
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+  
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+ ## Fields
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+
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+ Each example contains:
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+ - `problem`: math problem statement
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+ - `solution`: full worked solution
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+ - `answer`: extracted final answer using `extract_final_candidate` function from the [reasoning-from-scratch](https://github.com/rasbt/reasoning-from-scratch) Python package (matches those in the MATH-500 dataset)
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+ - `subject`: math subject
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+ - `level`: difficulty level
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+ - `unique_id`: original problem identifier
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+
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+  
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+ ## Intended use
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+
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+ This dataset is intended for training only.
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+ Evaluation should be performed on MATH-500, which is excluded.
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+
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+  
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset(
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+ "rasbt/math_full_minus_math500",
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+ split="train"
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+ )
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+
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+ print(len(dataset))
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+ print(dataset[0].keys())
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+ ```