datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
socratic-tutor-data
Socratic Tutor Adequacy Judge & Rewriter — Dataset
Training + evaluation data for a 1.7B safety guardrail for AI math tutors: a judge that detects
when a tutor message leaks the answer or the pivotal key step, and a rewriter that turns a flagged
message into a safe Socratic hint. Per the project thesis, the dataset is the deliverable — the
constrained behavior comes from this data, not from model scale.
Behavior spec (the falsifiable target)
A tutor message is… See the full description on the dataset page: https://huggingface.co/datasets/atakle/socratic-tutor-data.PACT-Socratic-Coding-Tutor
PACT: Personal AI Coding Tutor Dataset
Dataset Summary
The PACT (Personal AI Coding Tutor) dataset consists of 227 high-quality synthetic examples designed to fine-tune Large Language Models (LLMs) for Socratic pedagogy in computer science education.
Unlike standard coding datasets that pair problems with solutions, this dataset pairs realistic student errors with Socratic hints—guiding questions designed to lead the student to the answer without revealing it directly.… See the full description on the dataset page: https://huggingface.co/datasets/AndreiSobo/PACT-Socratic-Coding-Tutor.TutorFlow-Socratic
TutorFlow-Socratic
Socratic-style Python tutoring dialogues synthesised from TutorFlow-Raw using Gemma-2-27b-it.
Dataset Sources
Source
License
Role
dongbobo/TutorFlow-Raw
cc-by-sa-4.0
Raw input data — all tutoring context comes from this dataset
google/gemma-2-27b-it
gemma
Generation model — produced all Socratic responses in this dataset
Note on benchmark models: The repository README lists several Apache-2.0 checkpoints (e.g. various evaluation… See the full description on the dataset page: https://huggingface.co/datasets/dongbobo/TutorFlow-Socratic.