Data · dataset · 2024
CT-RATE: Chest CT Volumes with Radiology Reports
Listed in Hugging Face Datasets
Description
The CT-RATE Team organizes the VLM3D Challenge VLM3D 2026 (2nd Edition) → Challenge Finals at MICCAI 2026 VLM3D 2025 (1st Edition) → Challenge Finals at MICCAI 2025 • Workshop at ICCV 2025 The CT-RATE Team is developing the MR-RATE Dataset A large-scale brain MRI dataset with paired radiology reports for training 3D vision-language models. GitHub | Dataset | Metadata Dashboard Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography… See the full description on the dataset page: huggingface.co/datasets/ibrahimhamamci/CT-RATE.
Links
Get the data
- Hugging Face dataset page huggingface.co/datasets/ibrahimhamamci/CT-RATE ↗
Gated (auto) - request access on the dataset page
landing page · request access · from Hugging Face
Documentation and papers
- arXiv:2403.17834 arxiv.org/abs/2403.17834 ↗
publication · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/ibrahimhamamci/CT-RATE ↗
metadata API · from Hugging Face
Topics
- Stated by source
- image classification · image to text · question answering · text to image · visual question answering · zero shot classification
- From keywords
- Computer Science & AI · Computer vision
- Inferred from text
- Computed tomography 75% · Magnetic resonance imaging 65%
Provenance · 1 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | ibrahimhamamci/CT-RATE | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].local:modality:ct | enrichment · Hugging Face | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:mri | enrichment · Hugging Face | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[task].hf_task:image-classification | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| concepts[task].hf_task:image-to-text | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| concepts[task].hf_task:question-answering | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| concepts[task].hf_task:text-to-image | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| concepts[task].hf_task:visual-question-answering | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| concepts[task].hf_task:zero-shot-classification | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| license | source · Hugging Face | connector:huggingface@1.0.0 | /tags[license:*] |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |