quantification
tcga-gene-expression-quantification-open
TCGA Gene Expression Quantification — Open Access
Every open-access TCGA RNA-Seq gene expression file from the NCI Genomic Data Commons (GDC), stacked into matrices: one row per sequenced tube of RNA, called an aliquot, and one column per gene. Every value is exactly as GDC published it.
Size: 11,505 aliquots × 60,660 genes, from 10,517 patients in 33 TCGA projects
Source: GDC Data Release 46.0 (2026-08-10)
Built: 2026-09-23 04:56:55 UTC
The source files
GDC… See the full description on the dataset page: https://huggingface.co/datasets/gabrielaltay/tcga-gene-expression-quantification-open.african-loss-damage-quantification
African Loss and Damage Quantification | Africa (original)
Size category: 10K<n<100K - Formats: csv - Sector: climate_environment - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public datasets help analysts inspect… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/african-loss-damage-quantification.granular-uncertainty-quantification-dataset
Granular UQ Contrastive Prompts
This dataset contains synthetic contrastive prompt pairs for testing whether a model
or baseline can identify the primary cause of high uncertainty from the prompt alone.
Each row has a first_prompt that is more uncertain with respect to
primary_uncertainty_cause and a second_prompt that is less uncertain with respect
to that same cause.
Schema
Columns: id, primary_uncertainty_cause, domain, first_prompt, second_prompt, subtypes… See the full description on the dataset page: https://huggingface.co/datasets/myyycroft/granular-uncertainty-quantification-dataset.ai_ethics_risk_quantification