datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
clinical-evidence-dependency-graph-reasoning-v0.1
Clinical Multi-Evidence State Integration v0.1
Overview
Clinical Multi-Evidence State Integration v0.1 is a structured clinical-reasoning benchmark designed to test whether an AI system can integrate multiple sequential evidence events into a coherent final clinical state.
The benchmark evaluates more than final-answer classification.
A system must determine:
how each evidence event affects each tracked clinical item;
whether an item should be confirmed… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-evidence-dependency-graph-reasoning-v0.1.simson-assembly-dependency-graph
🔗 Simson Assembly Dependency Graph
13 „Braucht-auch"-Ketten für Simson-Reparaturen und Tuning.
Was das ist
Jeder Eintrag beschreibt, was man zusätzlich braucht wenn man ein bestimmtes Teil einbaut:
Pflicht-Teile (mandatory_with): Ohne diese geht es nicht
Empfohlene Teile (recommended_with): Sinnvoll, aber optional
Inkompatible Teile: Was NICHT gleichzeitig verbaut werden kann
Upgrade-Pfad: Was als nächstes Sinn macht
Geschätzte Arbeitszeit & Skill-Level
Kosten:… See the full description on the dataset page: https://huggingface.co/datasets/jmp1987/simson-assembly-dependency-graph.llm-dataset-dependency-graphThis dataset provides a dependency graph mapping the sources among 56 LLM training datasets and 96 Common Crawl snapshots. You can use this dataset in conjunction with the LLM training dataset and CC snapshot collections to analyze the contents and dependencies among major LLM training corpora.