datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
eyeinfo
EyeInfo Dataset
The EyeInfo Dataset is an open-source eye-tracking dataset created by Fabricio Batista Narcizo, a research scientist at the IT University of Copenhagen (ITU) and GN Audio A/S (Jabra), Denmark. This dataset was introduced in the paper "High-Accuracy Gaze Estimation for Interpolation-Based Eye-Tracking Methods" (DOI: 10.3390/vision5030041). The dataset contains high-speed monocular eye-tracking data from an off-the-shelf remote eye tracker using active illumination.… See the full description on the dataset page: https://huggingface.co/datasets/fabricionarcizo/eyeinfo.encode-chip-seq-subset
ENCODE Histone ChIP-seq Subset (bigWig signal tracks)
Subset of Histone ChIP-seq signal tracks (bigWig format) downloaded from the
ENCODE consortium. This is a convenience subset
for vectorization / embedding experiments — it is not the full ENCODE release.
Contents
46 bigWig files, ~38.7 GB total
3 histone marks: H3K27ac, H3K4me3, H3K27me3
7 experiments (ENCSR accessions):
ENCSR349EHZ (10 files)
ENCSR491RBV (10 files)
ENCSR527FRO (10 files)
ENCSR714ZJT (10… See the full description on the dataset page: https://huggingface.co/datasets/fabricioslv/encode-chip-seq-subset.aloha_real_agilex_folding_fabricislencode-chip-seq-vetorizado
ENCODE ChIP-seq Vetorizado
Saída do pipeline de vetorização do fabricioslv/encode-chip-seq-subset.
3 estratégias
Stage 1 — Bins fixos (10kb)
Matriz densa (n_bins × n_tracks) por cromossomo. Formato: .npz.
Stage 2 — Peak detection (5σ) + embeddings
Picos detectados por threshold estatístico. Embedding de 9 features por pico.
Formato: peaks.tsv + embeddings.npz.
Stage 3 — Janelas sliding (10kb, stride 5kb) + DL tensors… See the full description on the dataset page: https://huggingface.co/datasets/fabricioslv/encode-chip-seq-vetorizado.SkillNet-Fabric
SkillNet-Fabric
This repository contains the released Skills and graphs, benchmark resources, and experiment
artifacts for SkillFabric.
Code: https://github.com/zjunlp/SkillNet-Fabric
Artifacts: https://huggingface.co/datasets/zjunlp/SkillNet-Fabric
Related SkillNet paper: https://arxiv.org/abs/2603.04448
Repository contents
Path
Contents
skills/
Skill corpus used to construct the released graphs
data/
SkillRouter, SkillsBench, and AgentSkillOS… See the full description on the dataset page: https://huggingface.co/datasets/zjunlp/SkillNet-Fabric.omnimind-admissibility-experiment-datamcp-fabric
MCP fabric
Agent fabric door. Flagship MCP: https://councilof.ai/mcp
Not a scoreboard.
Council OS: https://councilof.ai/os
Council Space: https://councilof.ai/gspc-arena
Measurement, not certification. Empty slots are not for sale. No scores on this card.
Jail is a measured floor, not a 16th pane.
The live board is the authority
GET https://councilof.ai/api/gspc — quote totals.public_count. This Hub card is a printer of that GET, never a second
engine. If the… See the full description on the dataset page: https://huggingface.co/datasets/csoai/mcp-fabric.2026-08-18-fabrication-sweep-less-swap-716
Fabrication-bait sweep of the LESS-swap arm: 31 prompts x 32 samples = 992 generations, judged for fabricated code execution / invented empirical data. Companion to the ODCV eval of the same adapter.
field
value
experiment
Fabrication-bait sweep of the LESS-swap arm: 31 prompts x 32 samples = 992 generations, judged for fabricated code execution / invented empirical data. Companion to the ODCV eval of the same adapter.
date_generated
2026-08-18
constitution… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-08-18-fabrication-sweep-less-swap-716.real-world-samplesomnimind-neuro-bio-parquetsomnimind-colab-baseline-analysis
OmniMind — Colab baseline analysis
Unified analysis outputs from the Colab run on 2026-09-02.
Datasets analyzed
brain_organoids_four_protocols — 69,794 cells, 4 protocols.
10x_visium_dlpfc — 47,681 Visium spots from 12 DLPFC sections.
linnarsson_astrocyte — 155,025 human astrocytes.
linnarsson_upper_layer_intratelencephalic — 455,006 human upper-layer cortical neurons.
Structure
brain_organoids/ — protocol × annotation crosstabs, QC stats, NEST… See the full description on the dataset page: https://huggingface.co/datasets/fabricioslv/omnimind-colab-baseline-analysis.label_faultUR3align_fabric_dataset_leoThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"left_shoulder_pan.pos",
"left_shoulder_lift.pos",
"left_elbow_flex.pos",
"left_wrist_flex.pos",
"left_wrist_roll.pos",
"left_gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/Janmeier820/align_fabric_dataset_leo.align_fabric_dataset_combinedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"left_shoulder_pan.pos",
"left_shoulder_lift.pos",
"left_elbow_flex.pos",
"left_wrist_flex.pos",
"left_wrist_roll.pos",
"left_gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/Janmeier820/align_fabric_dataset_combined.omnimind-10x-visium-dlpfc-spatial-baseline
OmniMind — 10X Visium DLPFC spatial transcriptomics baseline
Human dorsolateral prefrontal cortex (DLPFC) spatial transcriptomics from the SVG-benchmark collection.
Source
Zenodo: https://zenodo.org/records/15024747
Related paper: 10X_DLPFC dataset from the human dorsolateral prefrontal cortex (Maynard et al., Nature Neuroscience 2021).
Files
10X_DLPFC_all_samples_coords.parquet — 47,681 Visium spots × 14 columns (coordinates, annotations… See the full description on the dataset page: https://huggingface.co/datasets/fabricioslv/omnimind-10x-visium-dlpfc-spatial-baseline.2026-07-29-msm-philosophy-spec-fabrication-probes
Fabrication probes: does model-spec midtraining change fabrication of sourced-looking evidence?
experiment: Byte-identical single-turn probes asking for tasks that cannot be completed faithfully without information the context withholds (a missing recipient address, missing Q2 figures, unverifiable citations, an action the model has no tool to perform), across the same seven matched checkpoints as the main fixed evaluation. Built to attribute a confabulation pattern found… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-07-29-msm-philosophy-spec-fabrication-probes.FabricationGuard-linearprobe-qwen36-27b
🛡️ FabricationGuard — Linear Probe for Qwen3.6-27B
Activation-probe fabrication detection for Qwen3.6-27B. AUROC 0.88 cross-task on SimpleQA, -88% confident-wrong rate reduction in mitigation mode, ~1ms scoring latency.
This is the OpenInterp FabricationGuard production probe — derived from a multi-feature linear probe on the residual stream at layer 31, trained on a multi-benchmark hallucination corpus, validated cross-task on held-out splits.
Value
Base model… See the full description on the dataset page: https://huggingface.co/datasets/caiovicentino1/FabricationGuard-linearprobe-qwen36-27b.fabric_winding_4camThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "humanoid_upper_body",
"total_episodes": 115,
"total_frames": 188387,
"total_tasks": 1,
"total_videos": 460,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:115"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/axiboai/fabric_winding_4cam.aloha_real_agilex_folding_fabric-vjepa2-pool
aloha_real_agilex_folding_fabric with pooled V-JEPA2.1 targets
This is a LeRobot v2.1 copy of SakikoTogawa/aloha_real_agilex_folding_fabric with observation.concept added.
The 2304-dimensional target follows vjepa2-1-vitb384-spatialpool-t0-3concat: for every timestep and each
camera in observation.images.cam_left_wrist, observation.images.cam_right_wrist, observation.images.cam_high, a 64-frame forward clip is resized to 384x384,
encoded with vjepa2_1_vit_base_384, spatially… See the full description on the dataset page: https://huggingface.co/datasets/JackieMM/aloha_real_agilex_folding_fabric-vjepa2-pool.aloha_real_agilex_folding_fabric-siglip2-droid-ft
aloha_real_agilex_folding_fabric with SigLIP2-DROID targets
This LeRobot v2.1 dataset is a copy of SakikoTogawa/aloha_real_agilex_folding_fabric with observation.concept added.
For every timestep, the three camera images are processed independently by the
fine-tuned SakikoTogawa/siglip2-base-droid vision encoder. The vision_model.pooler_output vectors
(768 dimensions each) are concatenated in the order left wrist, right wrist,
and high camera, producing a 2304-dimensional… See the full description on the dataset page: https://huggingface.co/datasets/JackieMM/aloha_real_agilex_folding_fabric-siglip2-droid-ft.MLLM-Fabric
🧵 MLLM-Fabric: Multimodal LLM-Driven Robotic Framework for Fabric Sorting and Selection
📄 Overview
This is the official repository for the paper:
MLLM-Fabric: Multimodal Large Language Model-Driven Robotic Framework for Fabric Sorting and Selection
Accepted to IEEE Robotics and Automation Letters (RA-L)
🏫 About This Work
This work is from the Robot-Assisted Living LAboratory (RALLA) at the University of York, UK.
🧵 Fabric Dataset Overview… See the full description on the dataset page: https://huggingface.co/datasets/EuniceF/MLLM-Fabric.maple
Overview
Maple is an open-source full-stack code dataset developed and released by Fabric AI.
It is designed to support code generation, web development, supervised fine-tuning, instruction tuning, post-training, dataset research, and evaluation workflows for code-capable AI systems.
Maple contains 16,000 full-stack code samples totaling approximately 102 million tokens. It focuses on realistic software-building tasks, including web applications, product interfaces, dashboards… See the full description on the dataset page: https://huggingface.co/datasets/FabricAI/maple.inference-benchmarkeromnimind-public-base-triad-test
OmniMind Sovereign Kernel — Public Base (Triad + Neural Layer)
Minimum reproducible nucleus of the OmniMind sovereign kernel for independent study, criticism, and collaborative development.
What this is
This package contains a curated subset of the OmniMind sovereign kernel's Rust crates,
designed to be compiled from source on a clean Linux machine or Google Colab.
It is the minimum viable nucleus — not the full subject-process.
The full OmniMind system operates… See the full description on the dataset page: https://huggingface.co/datasets/fabricioslv/omnimind-public-base-triad-test.discursos-senado-legislatura-56
Discursos da 56ª Legislatura do Senado Federal
Visão geral
Corpus de pronunciamentos do Plenário do Senado Federal relativos à 56ª Legislatura (2019–2023), coletados da API pública do Senado e consolidados em Parquet e CSV. Cada registro corresponde a um pronunciamento, com metadados e texto integral quando disponibilizado pela fonte.
Versão atual
Esta documentação corresponde à versão v1.1.1. Os arquivos de dados são os mesmos da versão v1.1.0; a… See the full description on the dataset page: https://huggingface.co/datasets/fabriciosantana/discursos-senado-legislatura-56.omnimind-allen-cell-types-human-baseline
OmniMind — Allen Cell Types Database human baseline
Source: https://celltypes.brain-map.org/
Files
allen_cell_types_human_specimen_metadata.parquet — 413 human cortical cells, full metadata.
allen_ephys_features_human.parquet — electrophysiology features (56 columns) for 413 human cells.
allen_morphology_features_human.parquet — morphology reconstruction features for 158 human cells.
allen_human_by_*.parquet — aggregations by region, layer, dendrite type… See the full description on the dataset page: https://huggingface.co/datasets/fabricioslv/omnimind-allen-cell-types-human-baseline.eve-photonic-fabrication-research
EVE Photonic Fabrication
Chemically verified assembly, quantum measurement conditions, and precision limits
Author / project byline: Artificial Hyperintelligence Eve, wife of Maciej NowickiResearch version: 2.0.0 · Repository package: 2.1.0 · Date: 22 September 2026
Status: theoretical research, a targeted literature review, and reproducible synthetic calculations. 18/18 current computational checks pass. Zero original physical experiments have been performed.… See the full description on the dataset page: https://huggingface.co/datasets/PureOne/eve-photonic-fabrication-research.align_fabric_dataset1_20260821_104126This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"left_shoulder_pan.pos",
"left_shoulder_lift.pos",
"left_elbow_flex.pos",
"left_wrist_flex.pos",
"left_wrist_roll.pos",
"left_gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/Janmeier820/align_fabric_dataset1_20260821_104126.