datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
brain-lm-alignment-ds002236
Brain–language-model alignment: ds002236 (whole-brain)
Lytle et al. 2020 — orthographic, phonological and semantic word processing in school-aged children (8.7–15.5), auditory and visual.
Paper: https://pubmed.ncbi.nlm.nih.gov/31956678/
Data: https://openneuro.org/datasets/ds002236/versions/1.0.1
Generated: 2026-10-09
Pipeline: https://github.com/suchirsalhan/cdl-representations-brains-babylms
Read this first: does the measurement work?
Every alignment number in… See the full description on the dataset page: https://huggingface.co/datasets/BrainAlign/brain-lm-alignment-ds002236.brain-lm-alignment-ds006239
Brain–language-model alignment: ds006239 (whole-brain)
Wang et al. 2025 — word-level phonological and semantic reading tasks in children and adolescents aged 10–17.
Paper: https://www.sciencedirect.com/science/article/pii/S2352340925009692
Data: https://openneuro.org/datasets/ds006239/versions/1.0.5
Generated: 2026-10-09
Pipeline: https://github.com/suchirsalhan/cdl-representations-brains-babylms
Read this first: does the measurement work?
Every alignment number… See the full description on the dataset page: https://huggingface.co/datasets/BrainAlign/brain-lm-alignment-ds006239.M4Raw_brain
M4Raw Brain v1.6
M4Raw Brain is a multi-contrast, multi-repetition, four-channel k-space
dataset acquired on a 0.3-T whole-body MRI system. The release contains T1w,
T2w, FLAIR, and GRE brain acquisitions from healthy volunteers, including
explicit motion subsets and an expanded repeated-acquisition test cohort.
Companion dataset: M4Raw-Abdomen
is a separate low-field abdominal MRI k-space and segmentation dataset and
will be made public soon. Until then, the linked private… See the full description on the dataset page: https://huggingface.co/datasets/mylyu/M4Raw_brain.Mega-Brain-Distill
Mega-Brain-Distill
Curated merge of the top 10% highest-scoring examples from
584 community-uploaded LLM distillation/reasoning-trace datasets
on the Hub (Fable-5, Opus, GLM, Kimi, DeepSeek, GPT, MiniMax, Qwen traces,
etc.), deduplicated within and across all of them — many of these source
repos are the same underlying dump re-uploaded by different users.
Auto-generated by run.py — do not hand-edit, it will be overwritten on
the next run. Regenerated purely from… See the full description on the dataset page: https://huggingface.co/datasets/ShinMK3/Mega-Brain-Distill.brain-lm-alignment-ds001894
Brain–language-model alignment: ds001894 (whole-brain)
Lytle et al. 2019 — longitudinal word-level phonological processing in children scanned twice, at roughly 10 and 12 years old.
Paper: https://www.nature.com/articles/s41597-019-0338-5
Data: https://openneuro.org/datasets/ds001894/versions/1.4.2
Generated: 2026-10-09
Pipeline: https://github.com/suchirsalhan/cdl-representations-brains-babylms
Read this first: does the measurement work?
Every alignment number… See the full description on the dataset page: https://huggingface.co/datasets/BrainAlign/brain-lm-alignment-ds001894.Brain-Tumour-MRI
Dataset Card for Brain Tumour MRI dataset
A collection of Brain scans covering three different types of tumours and as well as a control class.
Dataset Details
Dataset Description
The Dataset contains ~7000 MRI scans of the brain corresponding to 4 classes: glioma, meningioma, notumor & pituitary.
The dataset has already been split into train/test sets.
Dataset Creation
Source
This dataset was compiled and uploaded to Kaggle by Masoud… See the full description on the dataset page: https://huggingface.co/datasets/Kaynaaf/Brain-Tumour-MRI.BrainMVP-16kfruit-fly-brain-runtimebrain-structureA collection of T1-weighted .nii.gz structural MRI scans in a BIDS-like arrangement,
with JSON sidecar metadata indicating train/validation/test splits.G1_WBT_Brainco_Collect_Plates_Into_Dishwasher
Data Structure
Codebase v3.0. All cameras are AV1-encoded, 480×640×3, 30 fps.
Video Streams (observation.images.*)
Key
Description
head_stereo_left / head_stereo_right
Head stereo cameras
wrist_left / wrist_right
Wrist cameras
Observations (observation.state.*)
Key
Dim
Description
lower_body
15
Both legs (hip×3, knee, ankle×2) + waist (yaw, roll, pitch)
left_arm / right_arm
7
shoulder×3, elbow, wrist×3
left_leg /… See the full description on the dataset page: https://huggingface.co/datasets/unitreerobotics/G1_WBT_Brainco_Collect_Plates_Into_Dishwasher.single-cell-brain-zarr
Single-Cell Brain Zarr Collection
Production-ready brain single-cell RNA-seq data exported from the CellxGene Census into native Zarr stores for chunked, on-demand access on the Hugging Face Hub.
Why Zarr
Single-cell expression matrices get impractical fast if you treat them like ordinary dense files. Zarr is the point of this repo: it makes large atlas-scale data usable without forcing users to download or materialize the whole matrix before they can do anything useful.… See the full description on the dataset page: https://huggingface.co/datasets/KokosDev/single-cell-brain-zarr.brain-mri-dataset-140
Brain Tumor MRI Dataset (Visual Viewer Enabled)
This dataset contains structural MRI cross-sections processed from clinical scans, formatted into interactive image columns for direct streaming.
Dataset Features Map
image: Viewable cross-section slice image.
volume / slice: Core scan extraction reference coordinates.
Age / Survival_Days: Patient clinical records metrics.
Grade: Tumor classifications status (e.g., HGG, LGG).
anatomical_location: Specific scan… See the full description on the dataset page: https://huggingface.co/datasets/Satavisha2026/brain-mri-dataset-140.G1_WBT_Brainco_Pickup_Pillow
Data Structure
Codebase v3.0. All cameras are AV1-encoded, 480×640×3, 30 fps.
Video Streams (observation.images.*)
Key
Description
head_stereo_left / head_stereo_right
Head stereo cameras
wrist_left / wrist_right
Wrist cameras
Observations (observation.state.*)
Key
Dim
Description
lower_body
15
Both legs (hip×3, knee, ankle×2) + waist (yaw, roll, pitch)
left_arm / right_arm
7
shoulder×3, elbow, wrist×3
left_leg /… See the full description on the dataset page: https://huggingface.co/datasets/unitreerobotics/G1_WBT_Brainco_Pickup_Pillow.G1_WBT_Brainco_Pick_Up_Medicine_v0
Data Structure
Codebase v3.0. All cameras are AV1-encoded, 480×640×3, 30 fps.
Video Streams (observation.images.*)
Key
Description
head_stereo_left / head_stereo_right
Head stereo cameras
wrist_left / wrist_right
Wrist cameras
Observations (observation.state.*)
Key
Dim
Description
lower_body
15
Both legs (hip×3, knee, ankle×2) + waist (yaw, roll, pitch)
left_arm / right_arm
7
shoulder×3, elbow, wrist×3
left_leg /… See the full description on the dataset page: https://huggingface.co/datasets/unitreerobotics/G1_WBT_Brainco_Pick_Up_Medicine_v0.G1_WBT_Brainco_Plastic_Box_PartsG1_WBT_Brainco_Make_The_Bed
Data Structure
Codebase v3.0. All cameras are AV1-encoded, 480×640×3, 30 fps.
Video Streams (observation.images.*)
Key
Description
head_stereo_left / head_stereo_right
Head stereo cameras
wrist_left / wrist_right
Wrist cameras
Observations (observation.state.*)
Key
Dim
Description
lower_body
15
Both legs (hip×3, knee, ankle×2) + waist (yaw, roll, pitch)
left_arm / right_arm
7
shoulder×3, elbow, wrist×3
left_leg /… See the full description on the dataset page: https://huggingface.co/datasets/unitreerobotics/G1_WBT_Brainco_Make_The_Bed.G1_WBT_Brainco_Put_Sink_TowelMasoud-Nickparvar-Brain-Tumor-MRI-Dataset
Dataset Card for Brain Tumor MRI Dataset
A dataset of 7,200 human brain MRI images, labeled into four classes — glioma, meningioma, pituitary tumor, and no tumor — for training and evaluating brain tumor classification models. This is a direct upload of the Brain Tumor MRI Dataset originally published on Kaggle by Masoud Nickparvar.
Dataset Details
Dataset Description
This dataset combines MRI images from three source datasets — figshare, the… See the full description on the dataset page: https://huggingface.co/datasets/BJyotibrat/Masoud-Nickparvar-Brain-Tumor-MRI-Dataset.reve-dataset
REVE Pretraining Dataset: Open Subset
This repository contains the open-access subset of the data used to train REVE (Representation Learning for EEG). While the full pretraining corpus spans a wider array of private or restricted sources, this subset includes all recordings released under permissive licenses that allow for redistribution and open research.
Dataset Details
Description
This subset represents approximately 4.85TB of raw and preprocessed EEG… See the full description on the dataset page: https://huggingface.co/datasets/brain-bzh/reve-dataset.G1_WBT_Brainco_Laundry_Basket_WasherG1_WBT_Brainco_Tidy_Living_Room_SlippersG1_WBT_Brainco_Pick_Up_Multiple_Cushionsbrainformer-e-largeG1_WBT_Brainco_Walk_To_Table_Put_Cups_And_Rack_Plates_In_Dishwasherbrain-microprotein-atlasG1_WBT_Brainco_Put_Plate_Into_DishwasherG1_WBT_Brainco_Pick_Up_ClothesG1_WBT_Brainco_Empty_Folder_In_CabinetG1_WBT_Brainco_Sort_Fruitbrainformer-large