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MATH-500_L3_beam_N128_B5_D40_T1e-05_0-105

This dataset is used to train models to solve specific problems. It includes problem descriptions, solutions, search traces with values, search methods, ground‑truth answers, and token counts for inputs and outputs. The dataset is split into a training set containing 10 samples. Download size is 57 372 bytes and the total dataset size is 92 301 bytes.

Updated 12/23/2024
huggingface

Description

Dataset Overview

Dataset Information

  • Features:

    • problem: string, the problem statement.
    • solution: string, the solution.
    • search_trace_with_values: string, the search trace with values.
    • search_method: string, the search method.
    • ground_truth: string, the ground truth.
    • search_input_tokens: int64, number of input tokens for the search.
    • search_output_tokens: int64, number of output tokens for the search.
    • solution_input_tokens: int64, number of input tokens for the solution.
    • solution_output_tokens: int64, number of output tokens for the solution.
  • Data Split:

    • train: 10 samples, occupying 92 301 bytes.
  • Download Size: 57 372 bytes

  • Dataset Size: 92 301 bytes

Configuration

  • Config Name: default
    • Data Files:
      • split: train
      • path: data/train-*

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Topics

Mathematical Problem Solving
Machine Learning Training

Source

Organization: huggingface

Created: 12/22/2024

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