stemdataset/STEM

STEM Dataset Overview

Basic Information

• License: Apache‑2.0
• Language: English
• Scale: 1M < n < 10M
• Tags: STEM, Benchmark

Content

• Type: Multimodal multiple‑choice
• Subjects: Science, Technology, Engineering, Mathematics
• Number of Skills: 448
• Number of Questions: 1,073,146
• Splits: Training, Validation, Test
• Training Size: 644,797 questions
• Validation Size: 214,272 questions
• Test Size: 214,077 questions

Features

• Schema:

DatasetDict({
    train: Dataset({
        features: [subject, grade, skill, pic_choice, pic_prob, problem, problem_pic, choices, choices_pic, answer_idx],
        num_rows: 644797
    })
    valid: Dataset({
        features: [subject, grade, skill, pic_choice, pic_prob, problem, problem_pic, choices, choices_pic, answer_idx],
        num_rows: 214272
    })
    test: Dataset({
        features: [subject, grade, skill, pic_choice, pic_prob, problem, problem_pic, choices, choices_pic, answer_idx],
        num_rows: 214077
    })
})

• Feature Description:
  • subject: subject area
  • grade: educational grade level
  • skill: specific skill identifier
  • pic_choice: whether options are images
  • pic_prob: whether the problem includes an image
  • problem: textual description of the problem
  • problem_pic: associated image for the problem
  • choices: textual options
  • choices_pic: image options (if any)
  • answer_idx: index of the correct answer

Use Cases

• Evaluation: Follow the code for dataset evaluation.

Contact

• Email: stemdataset@gmail.com