Datasets:

robworks-software
/

k12-computer-science-standards

---
license: cc0-1.0
language:
- en
tags:
- synthetic
- template-generated
- code
- computerscience
- education
- k-12
- k12
- technology
- tech
pretty_name: K-12 Computer Science Standards (generated)
size_categories:
- n<1K
---


# K-12 Computer Science Standards

696 generated learning-objective records organized around K-12 computer science concept
areas, including computing systems, networks, data, algorithms, programming, AI/ML,
cybersecurity, data science, and robotics.

## How this was built (read this first)

These records are **programmatically generated**, not transcribed from official standards
documents. A generator took a standards taxonomy - codes, grade levels, domains, and
similar structured fields - and expanded it into instruction/output pairs using a fixed
set of sentence templates.

Two consequences:

1. **The text is not official standard language.** Where a field looks like a standard's
   wording, it is template output built around the standard's code and domain, not the
   text the issuing body published.
2. **The text repeats heavily.** Of 556 training rows only **266 learning
   objectives are distinct** (47.8%), and the phrasing is formulaic - *"Students will
   understand and apply {topic} in computing contexts"* recurs throughout. The grade-band
   distribution is exactly 174 records per band, which is a generator artifact.

Field values that *are* drawn from the source taxonomy - standard codes, grade levels,
domain and framework names - are reliable. The generated prose around them is not.

## Loading

```python
from datasets import load_dataset

ds = load_dataset("robworks-software/k12-computer-science-standards")
```

## Splits

| Split | Rows |
|-------|------|
| train | 556 |
| test | 140 |
| **total** | **696** |

## Concept distribution (training split)

| Concept | Rows |
|---------|------|
| Programming | 186 |
| Data Science | 53 |
| Robotics | 51 |
| Cybersecurity | 49 |
| Algorithms and Programming | 49 |
| Artificial Intelligence | 47 |
| Data and Analysis | 38 |
| Networks and the Internet | 29 |

## Limitations

- **Not CSTA or ISTE standard text.** The CSTA K-12 CS Standards define a specific set of
  standards with specific wording. This dataset is generated around CSTA's *concept
  structure*; it does not reproduce CSTA standards and should not be cited as CSTA
  content. CSTA standards are available from [csteachers.org](https://www.csteachers.org/).
- **47.8% distinct objectives** - see above.
- **AI, cybersecurity, data science and robotics are not CSTA concept areas.** Those four
  categories (274 of 696 records, nearly 40%) were added by this project. They do not
  correspond to any published framework.
- **Tool and platform references are opinions, and some are inappropriate as written.**
  The concept areas suggest specific tooling by grade band; a prior version of this card
  listed penetration-testing tooling for grades 9-12 as though it were standards content.
  Treat all tool suggestions as unreviewed authoring, not curriculum guidance.
- **No expert review.** A previous version of this card claimed "Expert Review". That did
  not happen.
- **US-centric** and reflects a 2024 snapshot of the field.

## Source taxonomy

Concept structure informed by the CSTA K-12 Computer Science Standards and ISTE
computational thinking competencies. Generated text is original output of this project
and is not endorsed by CSTA or ISTE.

## License

**CC0-1.0** for this compilation and its generated text.

## Citation

```bibtex
@dataset{k12_cs_standards,
  title  = {K-12 Computer Science Standards},
  author = {Robson, Ryan and Robworks Software},
  year   = {2025},
  publisher = {Hugging Face},
  note   = {Programmatically generated around CSTA/ISTE concept structure; not official standard text},
  url    = {https://huggingface.co/datasets/robworks-software/k12-computer-science-standards}
}
```