robworks-software/k12-ela-standards-expanded

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

12,282 instruction/input/output records for English Language Arts, 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 8,597 training outputs, 3,667 are distinct (42.7%). The most common output - "During reading monitoring" - appears 185 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-ela-standards-expanded")

Splits

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

• —42.7% distinct outputs, with a three-word output repeated 185 times.
• —Overlaps heavily with [`k12-ela-standards`](https://huggingface.co/datasets/robworks-software/k12-ela-standards). This is a larger generation run over the same taxonomy, not new source material. Do not treat the two as independent datasets, and do not train on both expecting added signal.
• —"Expanded" refers to generated volume, not additional standards coverage.
• —`metadata_instruction_type` is single-valued where populated (all 81 rows read writing_process), so it carries no discriminative information.
• —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 ELA structure. Standard codes are public; generated text is original output of this project.

License

CC0-1.0 for this compilation and its generated text.

Citation

@dataset{k12_ela_standards_expanded,
  title  = {K-12 ELA 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-ela-standards-expanded}
}