datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
typed-decisions-synth
Typed Decisions Synth
This is the synthetic dataset I made for Hmm, a small open model that answers questions about your data with probabilities instead of text.
It has 7,414 cases with 25,859 questions across 149 domains and workflows. Every question has an answer and a soft label (a probability for every option), so you can train a model to be unsure when it should be.
Code and the model: github.com/n4ze3m/hmm
Note: Everything here is written and labelled by an LLM. Nobody… See the full description on the dataset page: https://huggingface.co/datasets/n4ze3m/typed-decisions-synth.typed-decisions
typed-decisions
A typed-decision corpus for training a masked-diffusion LM to emit calibrated
discrete decisions instead of text. Built for fine-tuning
Sebasdi/nanodiff-350m-base
(the LLaDA recipe).
The interface
Every example is a prompt plus a response, and every decision is a single
masked token. The answer is always one option letter A-J:
### State:
<unstructured state text>
### Question:
<the decision to make>
### Options:
A) yes
B) no
### Answer:
A
The… See the full description on the dataset page: https://huggingface.co/datasets/pngwn/typed-decisions.typed-decisions-code-holes
typed-decisions: code-holes
Single-token substitutions mined from the git history of 64 public repositories in the
kotoba-lang organisation, each turned into one choice question
with a gold answer: the token the commit actually put there. Part of
kotoba-lang/typed-decisions (README 第8反復),
whose trained model is com-kotobalabs/open-jev-deberta-v3-large.
Sibling dataset (ungoaled): com-kotobalabs/typed-decisions-repo-governance.
What a record is
state = the commit… See the full description on the dataset page: https://huggingface.co/datasets/com-kotobalabs/typed-decisions-code-holes.typed-decisions-repo-governance
typed-decisions: repo-governance family
A seed, not a corpus (n=1 as of first publish, 2026-09-19): real governance findings from a
private software monorepo, each run through TypeSafe's Jev (a "System One"
model — it returns typed choice / score / noul decisions, never free text or code) as part of
kotoba-lang/typed-decisions, a reproduction and
measurement of the Jev shape whose trained model is published at
com-kotobalabs/open-jev-deberta-v3-large.
What this is… See the full description on the dataset page: https://huggingface.co/datasets/com-kotobalabs/typed-decisions-repo-governance.typed-decisions-pt-es
Typed Decisions PT/ES
Unofficial Brazilian Portuguese and Spanish translations of
LocalLLaMA/typed-decisions.
The dataset covers the choice, score, and noul typed-decision tasks. It preserves the
original case IDs, workflows, question IDs, task types, option keys, splits, gold labels, and
soft target distributions.
Contents
Config
Train
Test
pt
1,200
400
es
1,200
400
Each row contains:
id and workflow from the source case;
language, either pt or… See the full description on the dataset page: https://huggingface.co/datasets/telepatia-ai/typed-decisions-pt-es.notam-typed-decisions
NOTAM typed decisions
Frozen, hashed evaluation suites for typed decisions about NOTAMs — a choice, a
yes/no, or a score, each with a confidence — plus a catalogue of how NOTAMs describe
areas in free text. Built by Airside Labs so that any model,
served any way, can be scored on the same rows and read with the same per-class table
and calibration curve.
Not for operational use. These suites and the numbers quoted here are for research
and for triage tooling. NOTAMs are… See the full description on the dataset page: https://huggingface.co/datasets/AirsideLabs/notam-typed-decisions.