datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PMC-Treatment
🔭 Overview
R2MED: First Reasoning-Driven Medical Retrieval Benchmark
R2MED is a high-quality, high-resolution synthetic information retrieval (IR) dataset designed for medical scenarios. It contains 876 queries with three retrieval tasks, five medical scenarios, and twelve body systems.
Dataset
#Q
#D
Avg. Pos
Q-Len
D-Len
Biology
103
57359
3.6
115.2
83.6
Bioinformatics77
47473
2.9
273.8
150.5
Medical Sciences
88
34810
2.8
107.1
122.7
MedXpertQA-Exam
97… See the full description on the dataset page: https://huggingface.co/datasets/R2MED/PMC-Treatment.dental-treatment-planning-2.5k
Dental Treatment Planning Dataset (2.5k Synthetic Cases)
Synthetic dataset of 2,494 dental clinical cases for dental diagnosis, triage, and treatment-planning research.
Dataset Details
Size: 2,494 synthetic dental cases
Format: JSONL with structured conversations
Synthetic: Artificially generated cases (no real patient data)
Purpose: Training dental diagnostic AI models
Language: English
License: Apache 2.0
Keywords: dental treatment planning, dental diagnosis, dental… See the full description on the dataset page: https://huggingface.co/datasets/Wildstash/dental-treatment-planning-2.5k.process-compatibility-coatings-adhesives-treatments
Galvanic series and surface energy of engineering materials
Canonical, always-current version: https://referencesource.org/process-compatibility-coatings-adhesives-treatments/
Machine-readable: https://referencesource.org/process-compatibility-coatings-adhesives-treatments/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-04
Stale after: 2028-08-03 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 80… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/process-compatibility-coatings-adhesives-treatments.PMC-Treatment
🔭 Overview
R2MED: First Reasoning-Driven Medical Retrieval Benchmark
R2MED is a high-quality, high-resolution synthetic information retrieval (IR) dataset designed for medical scenarios. It contains 876 queries with three retrieval tasks, five medical scenarios, and twelve body systems.
Dataset
#Q
#D
Avg. Pos
Q-Len
D-Len
Biology
103
57359
3.6
115.2
83.6
Bioinformatics77
47473
2.9
273.8
150.5
Medical Sciences
88
34810
2.8
107.1
122.7
MedXpertQA-Exam
97… See the full description on the dataset page: https://huggingface.co/datasets/introvoyz041/PMC-Treatment.Code-code-galeras-prompting-3k-treatment-1Code-code-galeras-prompting-3k-treatment-2Dental-Treatment-Process-Action-Recognition-Dataset
Dental Treatment Process Action Recognition Dataset
In modern dental medicine, optimizing action recognition during the treatment process is crucial for improving treatment efficiency and accuracy. Currently, traditional methods mainly rely on manual observation, which can be easily influenced by subjective factors, leading to misjudgments and inefficiency. Additionally, there is a lack of automated recognition systems or standard datasets specifically for dental actions in the… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Dental-Treatment-Process-Action-Recognition-Dataset.sydetre-72k-drugs-treatmentsDatasets_for_Metallography_and_Heat_Treatmentmy-chatbot-users-treatment1my-chatbot-users-treatment2treatment_valtreatment_train