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DoseRAD2026 dataset by MrPigeon345
⭐ 59.3
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Dataset

DoseRAD2026

by MrPigeon345 mrpigeon345/doserad2026
Free2AITools Nexus Index
59.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 62
P: Popularity 56
R: Recency 86
Q: Quality 50
Tech Context
Vital Performance —
Source β†’
Data Integrity 59.3 FNI Score
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Dataset Information Summary
Entity Passport
Registry ID mrpigeon345/doserad2026
License CC-BY-NC-4.0
Provider huggingface
πŸ“œ

Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_mrpigeon345_doserad2026,
  author = {MrPigeon345},
  title = {DoseRAD2026 Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/MrPigeon345/DoseRAD2026}},
  note = {Accessed via Free2AITools.}
}
APA Style
MrPigeon345. (2026). DoseRAD2026 [Dataset]. Free2AITools. https://huggingface.co/datasets/MrPigeon345/DoseRAD2026

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 62
Popularity (P) 56
Recency (R) 86
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for DoseRAD2026: Authority (A:62), Popularity (P:56), Recency (R:86), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Dataset Specification

**DoseRAD2026 dataset**

The DoseRAD2026 dataset is a large-scale, multimodal radiotherapy dataset designed to support the development and benchmarking of fast and accurate radiation dose calculation and prediction methods.

It accompanies the DoseRAD2026 real-time photon and proton dose calculation challenge.

**πŸ—‚οΈ Overview**

This dataset provides:

  • Paired CT and MRI scans
  • Beam-level Monte Carlo (MC)–simulated dose distributions (photon and proton)
  • Beam configuration parameters

The training set, with 75 patients and corresponding dosemaps is publicly available on this repository.

The preliminary testing and testing sets are only accessible for evaluation of submissions to the challenge.

A detailed description of the dataset is provided here: https://doi.org/10.5281/zenodo.19347848

**⬇️ Download the data**

Option 1: Using [huggingface_hub](https://huggingface.co/docs/huggingface_hub/guides/download#download-an-entire-repository)

Install huggingface_hub (pip), then run:

python 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="LMUK-RADONC-PHYS-RES/DoseRAD2026", repo_type="dataset", local_dir="/your/download/path")

or

bash 
hf download --type=dataset --local-dir /your/download/path LMUK-RADONC-PHYS-RES/DoseRAD2026

Option 2: Using git

Install git-lfs and git-xet, then run:

bash 
git lfs install
git xet install
git clone https://huggingface.co/datasets/LMUK-RADONC-PHYS-RES/DoseRAD2026

**πŸ“„ License**

The dataset is provided under the [

Social Proof

HuggingFace Hub
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πŸ€— Data Source: Hugging Face β†—
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Source summary: Based on Hugging Face metadata. Not a recommendation.

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πŸ›‘οΈ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--mrpigeon345--doserad2026
slug
mrpigeon345--doserad2026
source
huggingface
author
MrPigeon345
license
CC-BY-NC-4.0
tags
license:cc-by-nc-4.0, region:us, radiotherapy, dose-calculation, challenge, real-time

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

πŸ“Š Engagement & Metrics

downloads
68,904
stars
null
forks
null

Data indexed from public sources. Updated daily.