treatment
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.evidence_infer_treatmentData and code from our "Inferring Which Medical Treatments Work from Reports of Clinical Trials", NAACL 2019. This work concerns inferring the results reported in clinical trials from text.
The dataset consists of biomedical articles describing randomized control trials (RCTs) that compare multiple treatments. Each of these articles will have multiple questions, or 'prompts' associated with them. These prompts will ask about the relationship between an intervention and comparator with respect to an outcome, as reported in the trial. For example, a prompt may ask about the reported effects of aspirin as compared to placebo on the duration of headaches. For the sake of this task, we assume that a particular article will report that the intervention of interest either significantly increased, significantly decreased or had significant effect on the outcome, relative to the comparator.
The dataset could be used for automatic data extraction of the results of a given RCT. This would enable readers to discover the effectiveness of different treatments without needing to read the paper.asia-who-treatment-success-rate-hiv-positive-tb-cases
Treatment success rate: HIV-positive TB cases | Asia (WHO GHO)
🌏 551 observations · 45 Asia countries · 1999–2023 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 551 observations of Treatment success rate: HIV-positive TB cases data across 45 Asia countries, spanning 1999–2023, covering 1 distinct indicators.
About the source
Source: WHO Global Health Observatory
Publisher: World Health Organization
License: cc-by-4.0
Topic:… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-treatment-success-rate-hiv-positive-tb-cases.byt-malicious-url-treatment
Dataset Card for "byt-malicious-url-treatment"
More Information needed
africa-who-treatment-success-rate-hiv-positive-tb-cases
Africa — WHO GHO: Treatment success rate: HIV-positive TB cases | Africa (World Health Organization)
Size category: n<1K - Formats: parquet - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-who-treatment-success-rate-hiv-positive-tb-cases.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.