README.md

---
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

```python
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`](https://huggingface.co/datasets/robworks-software/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

```bibtex
@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}
}
```