README.md

metadata

dataset_info:
  features:
    - name: id
      dtype: int64
    - name: domain
      dtype: string
    - name: topic
      dtype: string
    - name: subtopic
      dtype: string
    - name: difficulty
      dtype: int64
    - name: unit_type
      dtype: string
    - name: title
      dtype: string
    - name: content
      dtype: string
    - name: key_equations
      dtype: string
    - name: prerequisites
      dtype: string
    - name: learning_objective
      dtype: string
  splits:
    - name: train
      num_bytes: 11349918755
      num_examples: 20133312
  download_size: 1269042428
  dataset_size: 11349918755
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: other
language:
  - en
tags:
  - synthetic
  - science

Science Learning Curriculum

A large collection of structured learning units covering the scientific method, physics, chemistry, biology, earth and space science, and supporting mathematics.

Content is organised by domain, topic, difficulty level (1–10), and unit type (explanation, worked example, practice problem, etc.). Each row contains a self-contained pedagogical text together with key equations, prerequisites, and an explicit learning objective.

Columns

• id – unique identifier
• domain – broad scientific domain
• topic / subtopic – hierarchical organisation
• difficulty – integer difficulty rating
• unit_type – type of learning unit
• title – short descriptive title
• content – main pedagogical text
• key_equations – relevant equations
• prerequisites – required prior knowledge
• learning_objective – stated educational goal