datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
k12-standards-instruction-tasks
K-12 Curriculum Tasks (generated)
2,489 generated instruction/input/output records covering five curriculum tasks:
assessment creation, learning objective generation, misconception detection, standard
explanation, and standards Q&A. Content is predominantly mathematics.
Important: the name is misleading
Despite the name, this dataset contains no school directory data. There are four
columns - task, input, output, metadata - and no staff, principal, or school… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/k12-standards-instruction-tasks.software-strategist-v1
Software Fundamentals — Strategy Knowledge Base
A language-agnostic knowledge base of software engineering fundamentals, paired with a synthetic instruction-tuning dataset (~13,500 examples) for training small language models (SLMs) as software engineering strategists.
The trained model takes a description of a coding situation and routes it to relevant concepts, outputting synthesized strategic guidance as structured JSON.
Dataset Summary
This dataset provides ~13… See the full description on the dataset page: https://huggingface.co/datasets/jtregunna/software-strategist-v1.texas-k12-curriculum-standards-teks
Texas K-12 Curriculum Standards (TEKS-derived)
15,040 generated learning-objective records organized around the Texas Essential
Knowledge and Skills (TEKS) taxonomy, spanning core academic subjects, Career & Technical
Education clusters, and specialized program areas.
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… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/texas-k12-curriculum-standards-teks.nanoset
Sourceworks NanoSet
NanoSet is an experimental dataset where the main goal is to create a usable chatbot through less training data.
What is in NanoSet?
NanoSet is divded into 3 major sections, containg 36 entries divided into 6 sub-topics. The structure creates 108 total lines of training data, which may be subject to change in the future. The following is a visual on the structure:
108 entries total
3 Sections, each with 36 entries:
Chat Basics (Greetings, Jokes, etc.)… See the full description on the dataset page: https://huggingface.co/datasets/srcworks-software/nanoset.screenplay-revision-evaluation
Screenplay Revision Evaluation Cases
24 original screenwriting revision tasks. Each gives a short scene and a
constraint — cut a page to its beat, plant a prop, hold an answer back, fix a
continuity slip — then pairs it with mechanical checks (a word ceiling, a line
that must survive) and separate human-review questions. It tests whether a tool,
or a person, can make a tightly-constrained edit while keeping the scene intact.
Each task's reference_output is null, because a… See the full description on the dataset page: https://huggingface.co/datasets/Inkwell-Software/screenplay-revision-evaluation.agentic-software-conformance
TeaQL Agentic Software Conformance
Machine-readable evidence for the TeaQL Harness: semantic-model evaluation,
generated artifacts, seven language-native runtimes, executable examples, and
cross-language conformance checks.
This is an evidence dataset, not a leaderboard and not a collection of
unverified model claims. Each row identifies its evidence level, exact source,
verification date, revisions where available, command or gate, result, and
important qualifications. The… See the full description on the dataset page: https://huggingface.co/datasets/teaql/agentic-software-conformance.