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commonsense_qa_eval

The dataset includes multiple features such as question, question concept, options, answer, input, output, etc. Specific fields are id, question, question_concept, choices (with label and text), answerKey, input, extracted_baseline_llama_1b, reasoning_64_a128_mix_mmlu_csqa_gsm8k_even, baseline_llama_1b, output_w_reasoning_llama_1b, extracted_output_w_reasoning_llama_1b, and eval_baseline_vs_mixed_reasoning. It consists of a validation split with 1 221 samples totaling 7 882 991 bytes.

Updated 12/5/2024
huggingface

Description

Commonsense QA Eval Dataset Overview

Dataset Information

Features

  • id: string
  • question: string
  • question_concept: string
  • choices: sequence
    • label: string
    • text: string
  • answerKey: string
  • input: string
  • extracted_baseline_llama_1b: string
  • reasoning_64_a128_mix_mmlu_csqa_gsm8k_even: string
  • baseline_llama_1b: string
  • output_w_reasoning_llama_1b: string
  • extracted_output_w_reasoning_llama_1b: string
  • eval_baseline_vs_mixed_reasoning: string

Data Split

  • validation:
    • Sample count: 1 221
    • Data size: 7 882 991 bytes

Dataset Size

  • Download size: 3 720 885 bytes
  • Total dataset size: 7 882 991 bytes

Configuration

  • config_name: default
    • data_files:
      • split: validation
      • path: data/validation-*

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Topics

Commonsense QA
Model Evaluation

Source

Organization: huggingface

Created: 11/21/2024

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