datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CortexJEPAData
CortexJEPAData
Minimal cortex spatial transcriptomics H5AD files prepared for CortexJEPA.
Data Contents
Each .h5ad file keeps:
X: expression matrix
obs_names: spot/cell identifiers
var_names: gene identifiers
obsm["spatial"]: spatial coordinates
fine-tuning labels only for selected training splits:
c.macaque/pretrain: obs["layer"]
d.marmoset/pretrain: obs["layer"] and obs["PrAl"]
developmental-stage grouping for d.marmoset/test/development: obs["segment"] only… See the full description on the dataset page: https://huggingface.co/datasets/BGI-Hangzhou-OmicsAI/CortexJEPAData.cortex-codellamacortex_zdkidney-cortex-medulla-maskrcnn-predictionscortexcortex_z1cortex_zcortex-ibm-tabformer-embeddings
cortex embeddings — IBM TabFormer
Per-transaction hidden states (128-d, float32) produced by Neospace's cortex transaction
foundation model over every transaction in the public IBM TabFormer credit-card dataset
(card_transaction.v1.csv, 24,386,900 transactions, 2,000 cardholders, 1991–2020).
These embeddings let you reproduce the NeoLDM benchmark
without running cortex: feed them to the gradient-boosted-tree fraud classifier in that repo.
Contents
dir… See the full description on the dataset page: https://huggingface.co/datasets/luizcoroo/cortex-ibm-tabformer-embeddings.kidney-cortex-medulla-maskrcnn-predictions-2cortex-1-market-analysis
NEAR Cortex-1 Market Analysis Dataset
Dataset Summary
This dataset contains blockchain market analyses combining historical and real-time data with chain-of-thought reasoning. The dataset includes examples from Ethereum, Bitcoin, and NEAR chains, demonstrating high-quality market analysis with explicit calculations, numerical citations, and actionable insights.
The dataset has been enhanced with examples generated by GPT-4o and Claude 3.7 Sonnet, providing diverse… See the full description on the dataset page: https://huggingface.co/datasets/Jarrodbarnes/cortex-1-market-analysis.visual-cortex-coding-qacortex_quantumarxiv-tex-corpus-fullarxiv-tex-corpus-full (80GB)
Large-scale LaTeX corpus from arXiv (math, CS, physics, statistics)
📄 Paper: https://arxiv.org/abs/2602.17288
📚 Overview
arxiv-tex-corpus-full (80GB) is a large-scale dataset of LaTeX source content extracted from papers hosted on arXiv.
This version contains approximately 80GB of structured JSONL data, restricted to the following arXiv categories:
math
cs
hep-th
hep-ph
quant-ph
stat.ML
stat.TH
The dataset is designed for research in:
Large… See the full description on the dataset page: https://huggingface.co/datasets/CortexEvolved/arxiv-tex-corpus-full.keural-cortex-8b-sft
Keural-Cortex-8B SFT dataset
The supervised fine-tuning set used to train Keural-Cortex-8B, a Korean-first
bilingual model with a 64K context window, tool calling, and hybrid
thinking/non-thinking modes.
1,568,649 rows · 1.87B estimated tokens · 1.80B real Qwen3 tokens · 73.7% Korean
Three files:
file
rows
what it is
train.jsonl
1,564,042
main set, all rows under 32,768 tokens
train_long64k.jsonl
4,607
the 32K–64K band, kept separate because it needs a different… See the full description on the dataset page: https://huggingface.co/datasets/mkd-hossain/keural-cortex-8b-sft.cortex.t_filteredcortex_cortex_zccortex_zzcortex-ibm-tabformer-scorescortex_quatrocortexcortex-decision-threadscortex_alpha_0cortex_testalzheimer-mouse.GSE161904_Raw_gene_counts_cortexEdgeMMEval
EdgeMMEval
Minimal multimodal evaluation dataset for on-device inference testing.
Covers functional correctness, accuracy, latency stress, and memory
pressure across image, audio, text, multi-turn, combination, structured
output, and tool-calling cases.
Dataset summary
The test split is defined in data/test/metadata.jsonl (200 rows). Each
row has a test_id (for example IMG-001, STO-020) and a modality.
Modality
Samples
Focus
Image
34
VQA, OCR, description… See the full description on the dataset page: https://huggingface.co/datasets/CortexSwarm/EdgeMMEval.cortex_zbcortex-codellama-fccortex.tcortex-skill-routing