datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
aging-gene-expression-single-cell-mouse
A single-cell transcriptomic atlas characterizes ageing tissues in the mouse
https://www.nature.com/articles/s41586-020-2496-1#Sec2
Code to download and process this dataset is available in: https://github.com/seanome/2025-longevity-x-ai-hackathon
Dataset structure is originally from AnnData.
Descriptions of each data file is below.
Data Files
This dataset contains multiple parquet files, one for each sheet in the original Excel file:… See the full description on the dataset page: https://huggingface.co/datasets/longevity-db/aging-gene-expression-single-cell-mouse.pizza_st_human_mouse_v1_train_with_labelsmouse-dataset-random-bigrefseq_no_human_mouse_12.8k
RefSeq 100B cross-species transfer dataset
The train split contains exactly 100B bases in 12.8K windows and excludes
all assemblies listed in dataset_manifest.json for human and mouse.
The validation split is the 50,000-window human validation split from the
GENCODE-human 12.8K dataset. There is no test split.
TL-mouse-noGTL-HepG2mouse-pretokenized-NThuman_and_mouse-pretokenized-NTmouse_rodent_labeledGenomic_Benchmarks_dummy_mouse_enhancers_ensembl
Dataset Card for "Genomic_Benchmarks_dummy_mouse_enhancers_ensembl"
More Information needed
mouse-dataset-explore-bigBEELINE-mouse-v2-pretokenized-NTmouse-dataset-mixedmouse-muscle-aging-atlas-snRNAseq
Mouse Skeletal Muscle Aging Atlas (sn/scRNA-seq) Dataset
Dataset Overview
This dataset comprises single-nucleus and single-cell RNA sequencing (sn/scRNA-seq) data specifically focusing on the mouse skeletal muscle across different age groups. It serves as a valuable resource for investigating cell-type-specific gene expression changes and cellular composition shifts that occur during the aging process in a crucial mammalian model system.
The data was sourced from the… See the full description on the dataset page: https://huggingface.co/datasets/longevity-db/mouse-muscle-aging-atlas-snRNAseq.transcriptomic-atlas-mouse
A single-cell transcriptomic atlas characterizes ageing tissues in the mouse
Code to download and process this dataset is available in: https://github.com/seanome/2025-longevity-x-ai-hackathon
Dataset structure is originally from AnnData.
Descriptions of each data file is below.
transcriptomic-atlas-mouse_expression.parquet
The main expression matrix containing gene expression data.
transcriptomic-atlas-mouse_sample_metadata.parquet
Metadata for each… See the full description on the dataset page: https://huggingface.co/datasets/longevity-db/transcriptomic-atlas-mouse.Instruction_recall_dataset
CanaryBench-PII
Frequency-aware canary injection benchmark for auditing memorization
in finetuned language models, built on the AI4Privacy PII reconstruction
task.
Dataset Description
This dataset is part of CanaryBench, a benchmark for evaluating
memorization in finetuned language models across repetition tiers
and privacy regimes.
Frequency tiers: 1×, 10×, 50×
PII types: EMAIL, PHONE
Member canaries: 770
Reference canaries: 1000
Tasks: PII detection, secret… See the full description on the dataset page: https://huggingface.co/datasets/anony-mouse123/Instruction_recall_dataset.mouse-identity-classification-benchmark
VocSim — Mouse Identity Classification
A companion dataset for the VocSim benchmark that tests whether audio embeddings preserve individual identity in mouse ultrasonic vocalizations (USVs). It contains pre-segmented USV syllables from multiple individual mice (the speaker field), sampled at the native 250 kHz, derived from recordings by Van Segbroeck et al. (2017).
Basha, M., Zai, A. T., Stoll, S., & Hahnloser, R. H. R. VocSim: A Training-free Benchmark for Zero-shot Content… See the full description on the dataset page: https://huggingface.co/datasets/vocsim/mouse-identity-classification-benchmark.mouse-dataset-offlineMouse_DNA_v0gencode-mouse
GENCODE
GENCODE is a comprehensive annotation project that aims to provide high-quality annotations of the human and mouse genomes.
The project is part of the ENCODE (ENCyclopedia Of DNA Elements) scale-up project, which seeks to identify all functional elements in the human genome.
Disclaimer
This is an UNOFFICIAL release of the GENCODE by Paul Flicek, Roderic Guigo, Manolis Kellis, Mark Gerstein, Benedict Paten, Michael Tress, Jyoti Choudhary, et al.
The team… See the full description on the dataset page: https://huggingface.co/datasets/multimolecule/gencode-mouse.rnahl-saluki-mouse
Overview
mRNA half-life is a measure of the degradation rate of mRNA molecules. This experiment reports the time that the expression level of a transcript takes to decrease by half. The original data source aggregates 39 human and 27 mouse transcriptome wide datasets -- this dataset contains the mouse datasets. Several data preprocessing steps are taken, reported in the original paper. Half-life measures per gene averaged across collected datasets, and PCA is performed on the gene x… See the full description on the dataset page: https://huggingface.co/datasets/morrislab/rnahl-saluki-mouse.mouse_phenotypesQuazim0t0__Mouse-9B-details
Dataset Card for Evaluation run of Quazim0t0/Mouse-9B
Dataset automatically created during the evaluation run of model Quazim0t0/Mouse-9B
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Quazim0t0__Mouse-9B-details.omnimind-human-mouse-chimera-dopamine-inventory
OmniMind — Human-mouse chimera dopamine neurons inventory
Source: https://zenodo.org/records/10215356
Paper: Dawson et al., Stem Cell Reports — Interspecies chimerism with human embryonic stem cells generates functional human dopamine neurons at low efficiency
This is an inventory of the 508 files in the RAR archive (702 MB), not a full extraction.
Most files are TIFF/JPG microscopy images and .fcs flow cytometry files.
Also extracted:
injection numbers.xlsx
pups death… See the full description on the dataset page: https://huggingface.co/datasets/fabricioslv/omnimind-human-mouse-chimera-dopamine-inventory.PanoMouse
PanoMouse Dataset
PanoMouse is the official dataset for the paper: Mouse Total Capture: A Multi-view Dataset for 3D Motion and Expression Capture of Freely Moving Mouse
PanoMouse supports simultaneous whole-body motion and facial expression capture
of freely moving mice via a 24-camera multiview system.
Dataset Overview
Cameras: 24 cameras distributed across top-middle-bottom 3 layers, 360° coverage
Frames: Over 3.4 million frames
Annotations: 7,293 frames annotated… See the full description on the dataset page: https://huggingface.co/datasets/MouseTotalCapture/PanoMouse.mouse-strain-classification-benchmark
VocSim — Mouse Strain Classification
A companion dataset for the VocSim benchmark that tests whether audio embeddings preserve strain identity in mouse ultrasonic vocalizations (USVs). It contains pre-segmented USV syllables from C57BL/6J (C57) and DBA/2J (DBA) mice, sampled at the native 250 kHz so high-frequency structure is preserved.
Basha, M., Zai, A. T., Stoll, S., & Hahnloser, R. H. R. VocSim: A Training-free Benchmark for Zero-shot Content Identity in Single-source… See the full description on the dataset page: https://huggingface.co/datasets/vocsim/mouse-strain-classification-benchmark.mouse_movement_trackingmouse-glioblastoma-snRNAseq
Mouse Glioblastoma Atlas (snRNA-seq) Dataset
Dataset Overview
This dataset comprises single-nucleus RNA sequencing (snRNA-seq) data from the brain (glioblastoma tumors and their microenvironment) of both young and aged mice. It provides a high-resolution cellular and molecular census of glioblastoma, a highly aggressive brain tumor, with crucial insights into its age-related characteristics.
The original data was sourced from a CELLxGENE Discover collection titled… See the full description on the dataset page: https://huggingface.co/datasets/longevity-db/mouse-glioblastoma-snRNAseq.TL-mouse-noGTL-hESCtranslation-efficiency-mouse
Multitask Translational Efficiency Prediction
Overview
Understanding the rules of translational control in mammalian cells is a fundamental challenge in genomics. This dataset is from a study by Zheng et al. (2025), which created a comprehensive, transcriptome-wide atlas of translation efficiency (TE) measurements across a wide array of human and mouse cell types.
The dataset was generated by uniformly processing and quality-controlling thousands of ribosome profiling and… See the full description on the dataset page: https://huggingface.co/datasets/morrislab/translation-efficiency-mouse.MS-mouse-noGTL-hESC-HepG2