datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
lgg-mri-segmentation-research
LGG Brain MRI Segmentation with Genomic Clusters
This repository provides a Patient-Centric version of the Lower-Grade Glioma (LGG) Segmentation dataset. While other versions of this data exist, they often treat slices as independent images. This version preserves the 3D patient volume and integrates all genomic/clinical labels directly into a multimodal-ready format.
🌟 Why This Version?
Developed for Multimodal AI Research, this dataset addresses several limitations… See the full description on the dataset page: https://huggingface.co/datasets/Ehsan-rmz/lgg-mri-segmentation-research.Stack-the-cubesitem_classificationsort-the-tool-rightStack-the-cubes-v2hang-toollgg-mri-segmentation-research
LGG Brain MRI Segmentation with Genomic Clusters
This repository provides a Patient-Centric version of the Lower-Grade Glioma (LGG) Segmentation dataset. While other versions of this data exist, they often treat slices as independent images. This version preserves the 3D patient volume and integrates all genomic/clinical labels directly into a multimodal-ready format.
🌟 Why This Version?
Developed for Multimodal AI Research, this dataset addresses several limitations… See the full description on the dataset page: https://huggingface.co/datasets/vpasx/lgg-mri-segmentation-research.UnitreeG1-pick-red-bottleTCGA-LGG-Mask
TCGA-LGG-Mask — LGG Segmentation Dataset (Brain MRI)
Mirror of the LGG Segmentation Dataset ("Brain MRI segmentation"), the
canonical release by Mateusz Buda on Kaggle
(mateuszbuda/lgg-mri-segmentation), associated with:
Buda M., Saha A., Mazurowski M.A. Association of genomic subtypes of
lower-grade gliomas with shape features automatically extracted by a deep
learning algorithm. Computers in Biology and Medicine 109:218-225, 2019.
Brain MRI of 110 patients from the TCIA… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/TCGA-LGG-Mask.tcga-lgg-tabular-open
TCGA-LGG — Tabular (Open Access)
Open-access TCGA-LGG data from the NCI Genomic Data Commons, reshaped into one table per GDC data_type. Clinical, biospecimen and every open molecular modality for this cohort, in one place, queryable without downloading a single .tar or parsing a single TSV.
GDC data release: Data Release 46.0 - August 10, 2026
Built: 2026-09-12 04:02:58 UTC
Scope: one TCGA project — see [the family][repo] for the others
from datasets import load_dataset… See the full description on the dataset page: https://huggingface.co/datasets/gabrielaltay/tcga-lgg-tabular-open.sort-tools-newhang-tools-newavcocktail-turn-taking
AVCocktail Turn-Taking
Turn-taking event labels (speaker shifts and holds) for pairwise speaker
conversations, derived from the AVCocktail (from MCoRec challenge) audio-visual cocktail-party dataset.
Files are per-session, per-speaker-pair JSON label files, kept in the same directory layout as the source dataset:
train/
central-train_channelmaps.pkl # so that the model knows to map to the correct speaker in a dyadic
session_00/
events-spk_3-spk_4.json
session_01/… See the full description on the dataset page: https://huggingface.co/datasets/lggvu/avcocktail-turn-taking.tennissimple-pickBrain-MRI-LGG-SegmentationBrain MR images and FLAIR abnormality segmentation masks created by hand are part of this dataset.
These pictures came from TCIA, or The Cancer Imaging Archive.
Their genetic cluster data and fluid-attenuated inversion recovery (FLAIR) sequences are from 110 patients with lower-grade glioma who are part of the Cancer Genome Atlas (TCGA) collection.
You can find patient information and genomic clusters of tumours in the data.csv file.
Deep Learning Projects for Final Year
FYI: It is not my… See the full description on the dataset page: https://huggingface.co/datasets/gymprathap/Brain-MRI-LGG-Segmentation.drawerMultiOmics_GS-LGGavcocktail-openface-featuresitem-classification-newbiomanualsalt-llama-lgg-to-eng
Dataset Card for "salt-llama-lgg-to-eng"
More Information needed
enfulgg-seminarLGGMlggj
