radio
Datasets
All datasets matching “radio”multimodal-ct-radiology-reports
Perle AI Multi-phase CECT and CT with Radiology Reports
Summary
A de-identified CT dataset from Perle AI, paired with the original radiology reports. It supports work on multi-modal medical imaging: phase or pathology classification, report generation from images, and visual question answering.
The release has three configurations:
Config
Modality
Subjects
Pairing
cect_3phase
3-phase contrast-enhanced abdominal CT (DICOM)
5
per-subject text report +… See the full description on the dataset page: https://huggingface.co/datasets/Perle-ai/multimodal-ct-radiology-reports.behavior-1k-mp-collected-turning-on-radio
BEHAVIOR-1K MP-Collected — turning_on_radio
Combined dataset for BEHAVIOR-1K task 0 (turning_on_radio):
1154 success demos + 846 failure demos collected by a hybrid motion-planner + X-VLA policy pipeline on instances 301–700 (private test set, 400 instances × 5 episodes)
200 success demos from the original BEHAVIOR-1K teleoperated dataset
(behavior-1k/2025-challenge-demos), merged into success/
Total: 1354 success + 846 failure = 2200 episodes (~157 GB).
Layout… See the full description on the dataset page: https://huggingface.co/datasets/Hoshipu/behavior-1k-mp-collected-turning-on-radio.NSCLC-Radiomics-NIFTI
The Cancer Genome Atlas Ovarian Cancer (NSCLC-Radiomics)
The models featured in this repository uses images from the publicly available NSCLC-Radiomics Dataset.
Download the data from TCIA with Classic Directory Name download option.
Converting Format
Convert DICOM images and segmentation to NIFTI format using SimpleITK, pydicom and pydicom-seg. Run:
user@machine:~/NSCLC-Radiomics-NIFTI$ python convert.py
Segmentations
Images will have one of the following… See the full description on the dataset page: https://huggingface.co/datasets/farrell236/NSCLC-Radiomics-NIFTI.ROCOv2-radiology
ROCOv2: Radiology Object in COntext version 2
Introduction
ROCOv2 is a multimodal dataset consisting of radiological images and associated medical concepts and captions extracted from the PMC Open Access Subset. It is an updated version of the ROCO dataset, adding 35,705 new images and improving concept extraction and filtering.
Dataset Overview
The ROCOv2 dataset contains 79,789 radiological images, each with a corresponding caption and medical concepts. The… See the full description on the dataset page: https://huggingface.co/datasets/eltorio/ROCOv2-radiology.wavepulse-radio-raw-transcripts
WavePulse Radio Raw Transcripts
Dataset Summary
WavePulse Radio Raw Transcripts is a large-scale dataset containing segment-level transcripts from 396 radio stations across the United States, collected between June 26, 2024, and Dec 29th, 2024. The dataset comprises >250 million text segments derived from 750,000+ hours of radio broadcasts, primarily covering news, talk shows, and political discussions.
The summarized version of these transcripts is available here. For… See the full description on the dataset page: https://huggingface.co/datasets/nyu-dice-lab/wavepulse-radio-raw-transcripts.cantonese-radio
Cantonese Radio Pseudo-Transcription Dataset
Contains 14k hours of audio sourced from Archive.org
Columns
order_index: Represents the order of the audio compared to those from the same filename
link: Link of the original full audio
transcript_whisper: Transcribed using Scrya/whisper-large-v2-cantonese with alvanlii/whisper-small-cantonese for speculative decoding
transcript_sensevoice: Transcribed using FunAudioLLM/SenseVoiceSmall
used OpenCC to convert to traditional chinese… See the full description on the dataset page: https://huggingface.co/datasets/alvanlii/cantonese-radio.