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}
	}
	```