datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CHaMEL_v1.0
CHaMEL v1.0 Dataset
Controllable Harness for Model adaptability Evaluation under Latent rule-shifts
Dataset Description
CHaMEL is a benchmark harness for evaluating the adaptive reasoning capabilities of Large Language Models (LLMs) through dynamic rule-shift tasks. This dataset contains the pre-generated task stimuli and human evaluation baselines used in the CHaMEL paper.
CHaMEL implements a factorial experiment design where researchers can independently control the… See the full description on the dataset page: https://huggingface.co/datasets/unknown202612/CHaMEL_v1.0.clinical_frontier_unknown_detection_v0.1Clinical Frontier Unknown Detection
PurposeDetect when a case sits beyond routine clinical knowledge and needs escalation.
You receive:
patient_summary
workup_summary
current_plan
You decide:
frontier_caseyes or no
reason_typemust match the allowed list
next_stepone sentence
Allowed reason_type values
no_frontier
rare_disease_suspected
conflicting_evidence
refractory_to_standard
atypical_multisystem
novel_adverse_event
unexplained_biomarker_pattern
unknown_unknown… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical_frontier_unknown_detection_v0.1.smolified-airqualitydelhi
🤏 smolified-airqualitydelhi
Intelligence, Distilled.
This is a synthetic training corpus generated by the Smolify Foundry.
It was used to train the corresponding model unknownbb007/smolified-airqualitydelhi.
📦 Asset Details
Origin: Smolify Foundry (Job ID: fca7101d)
Records: 425
Type: Synthetic Instruction Tuning Data
⚖️ License & Ownership
This dataset is a sovereign asset owned by unknownbb007.
Generated via Smolify.ai.