Datasets:

robworks-software
/

k12-mathematics-standards-expanded

language:
  - en
license: cc-by-4.0
task_categories:
  - text-generation
  - question-answering
  - text-classification
tags:
  - synthetic
  - template-generated
  - education
  - mathematics
  - k12
  - standards-aligned
  - educational-ai
pretty_name: K-12 Mathematics Standards, expanded (generated)
size_categories:
  - 1K<n<10K

K-12 Mathematics Standards, expanded (generated instruction data)

4,965 instruction/input/output records for mathematics, generated around a K-12 standards taxonomy for instruction-tuning and educational-content experiments.

How this was built (read this first)

These are programmatically generated training examples, not curriculum written by educators and not the text of any official standard. A generator combined standards metadata - codes, grade levels, domains, Bloom's and DOK levels - into instruction and output text using a fixed set of templates.

Of 3,204 populated training outputs, 1,554 are distinct (48.5%). The placeholder "Students often confuse mathematical concepts with similar concepts" appears 95 times.

Structured metadata fields (standard codes, grade levels, domain names) come from the source taxonomy and are reliable. The generated prose is not.

Loading

from datasets import load_dataset

ds = load_dataset("robworks-software/k12-mathematics-standards-expanded")

Splits

Split	Rows
train	3,475
validation	744
test	746
total	4,965

Appropriate use

Synthetic instruction-tuning data where fluent, on-topic, low-variety text is acceptable.
Format and schema experiments: task routing, metadata-conditioned generation.
Structural analysis over the standards taxonomy itself.

Inappropriate use

Classroom or student-facing material. Nothing here was reviewed by an educator.
A source of official standard text. Go to the issuing body.
Benchmarking model knowledge of standards. Low text variety lets a model score well by learning templates rather than content.
Training a model whose output will reach students without human review.

Limitations

48.5% distinct outputs, with the same contentless misconception placeholder as the base dataset.
Near-duplicate of k12-mathematics-standards-aligned. 4,965 rows versus 4,397 from the same generator over the same taxonomy - a 13% increase, not a distinct resource. Pick one.
Prior descriptions claimed college and competition-level coverage. The content does not support that; it is K-12 templated material throughout.
No worked mathematics.
No educator or subject-matter review at any stage.
quality_score, difficulty, bloom_level and dok_level are generator assignments, not expert annotations. A high quality score reflects a rule firing, not a judgment about instructional value.
Sparse metadata. Many optional metadata columns are nan for most rows.
US-centric and English-only.

Source taxonomy

Common Core State Standards mathematics structure. Standard codes are public; generated text is original output of this project.

License

CC-BY-4.0 for this compilation and its generated text.

Citation

@dataset{k12_mathematics_standards_expanded,
  title  = {K-12 Mathematics Standards, expanded (generated instruction data)},
  author = {Robworks Software},
  year   = {2025},
  publisher = {Hugging Face},
  note   = {Programmatically generated instruction-tuning data; not official standard text},
  url    = {https://huggingface.co/datasets/robworks-software/k12-mathematics-standards-expanded}
}