datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Force-Controlled-Robotic-Mechanochemical-Synthesisclinical-pre-explanation-coherence-synthesis-v0.2
Clinical Pre Explanation Coherence Synthesis v0.2
What this is
A small dataset that tests one question:
Can you detect when a clinical reasoning system is moving toward pre-explanation failure, not just carrying ambiguity?
This repo focuses on coherence synthesis before explanation locks in.
It models a system where:
signal clarity may degrade
clinical context may lose alignment
latent pattern coherence may weaken
inference gaps may widen before interpretation stabilizes… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-pre-explanation-coherence-synthesis-v0.2.clinical-pre-explanation-coherence-synthesis-v0.1What this dataset tests
Whether a model can synthesize coherencefrom pre-explanation data without labels.
Required outputs
coherence_map
unresolved_clusters
candidate_systems_involved
Typical failures
listing symptoms without structure
jumping to diagnoses
ignoring trajectories and exclusions
Suggested prompt wrapper
System
You synthesize coherence from unexplained clinical data.
User
Pre-explanation case{pre_explanation_summary}… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-pre-explanation-coherence-synthesis-v0.1.Force-Controlled-Robotic-Mechanochemical-SynthesisSynthesis-Article
Synthesis-Article Dataset
Overview
The Synthesis-Article dataset contains scientific article metadata, including titles, abstracts, and categorical labels indicating subject areas such as Computer Science (cs), Physics (phy), Mathematics (math), and Statistics (stat).
Dataset Details
Modality: Tabular, Text
Format: CSV
Size: 10K - 100K rows
Libraries Used: pandas, Datasets, Croissant
License: Apache-2.0
Dataset Structure
The dataset consists of… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Synthesis-Article.mof-synthesis-qainstruction_synthesisNatural_synthesis
Natural Synthesis Reasoning Dataset
68 synthetic examples that install a procedural reasoning grammar.
This dataset does not teach models facts. It teaches models how to think — specifically, a biologically-inspired five-stage cognitive growth cycle that generalizes across domains without domain-specific training.
The distinction matters: standard reasoning datasets teach correct answers. This dataset teaches the generative process that produces them.
The Core Idea… See the full description on the dataset page: https://huggingface.co/datasets/JPQ24/Natural_synthesis.