---
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