datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Llama-slideQA-Sample-Featuresai-crawler-index
AI Crawler Index
150 web crawlers and AI user agents from 74 operators — what each one is for,
what blocking it costs you, and the IP ranges its operator publishes.
Plus a compiled user-agent regex and the union of 1997 IPv4 and 1062 IPv6
prefixes from 15 operator-published range files.
Home: https://www.pathwren.workers.dev/c/huggingface-datasets/ · CC0 · no signup, no key.
What this is, plainly
This is an independent, non-commercial automated project. It is run… See the full description on the dataset page: https://huggingface.co/datasets/pathwren/ai-crawler-index.Refined-TCGA-PRAD-Prostate-Cancer-Pathology-Dataset
Note: Our 245 TCGA cases are ones we identified as having potential for improvement.
We plan to upload them in two phases: the first batch of 138 cases, and the second batch of 107 cases in the quality review pipeline, we plan to upload them around early of January, 2025.
Dataset: A Second Opinion on TCGA PRAD Prostate Dataset Labels with ROI-Level Annotations
Overview
This dataset provides enhanced Gleason grading annotations for the TCGA PRAD prostate cancer… See the full description on the dataset page: https://huggingface.co/datasets/Humanbased-AI/Refined-TCGA-PRAD-Prostate-Cancer-Pathology-Dataset.PathMMUxMIL-HeatmapsHeatmap data for the multiple instance learning models presented in:
Jamshidi Idaji et al. "Beyond attention heatmaps: How to get better explanations for multiple instance learning models in histopathology". Medical Image Analysis (2026).
Link: https://www.sciencedirect.com/science/article/pii/S1361841526002173
Code: https://github.com/bifold-pathomics/xMIL
@article{
jamshidi26beyond,
title = {Beyond attention heatmaps: How to get better explanations for multiple instance learning models… See the full description on the dataset page: https://huggingface.co/datasets/bifold-pathomics/xMIL-Heatmaps.pathways-kg
Pathways Knowledge Graph — partial build
138,725 nodes. 601,322 edges. Human biological pathways, protein interactions, Gene
Ontology annotations, genes, drugs and diseases in one graph.
Built with Samyama Graph.
Loader: samyama-ai/pathways-kg.
Known gaps
Measured against the engine directly, not inferred:
#
Gap
Detail
1
PARTICIPATES_IN is 2% of its reported size
The Reactome loader reports participates_in_edges=143723. The graph holds 3,423. 140,300… See the full description on the dataset page: https://huggingface.co/datasets/VaidhyaMegha/pathways-kg.nba-draft-high-school-pathways-2016-2026
NBA Draft × High-School Pathways 2016–2026
Analysis-ready panel of 653 actual NBA draft selections from 2016 through 2026,
with each player's drafting franchise, canonical college or prior organization,
finishing high-school/prep pathway, school-type classification, and source lineage.
Version 1.0.0 is a schema-breaking quality release. It replaces the original
mixed and sparse college_or_prior field with structured pathway fields and removes
three blank rows that represented… See the full description on the dataset page: https://huggingface.co/datasets/dharits3/nba-draft-high-school-pathways-2016-2026.PathVQAuav_pathloss_dataset
UAV-Assisted mmWave Path Loss Dataset
Overview
This dataset contains UAV-assisted mmWave path loss simulated across five diverse urban environments:
Munich-01
Munich-02
Helsinki
Manhattan
London
For each environment, ray-traced simulations were performed at:
4 UAV transmitter (TX) locations
3 UAV altitudes: 25m, 35m, and 45m
Each CSV file corresponds to a unique combination of environment, TX location, and altitude.
File Naming Convention
Files follow… See the full description on the dataset page: https://huggingface.co/datasets/SHussain37/uav_pathloss_dataset.clust_pathway_scoresIMDb_Top_250_Moviespathgen
MeDiM: Discrete Diffusion Models with MLLMs for Unified Medical Multimodal Generation Dataset
This repository contains information and preparation instructions for the datasets used in the paper "Discrete Diffusion Models with MLLMs for Unified Medical Multimodal Generation".
Paper: Discrete Diffusion Models with MLLMs for Unified Medical Multimodal Generation
Project Page: https://jwmao1.github.io/MeDiM_web/
Code/GitHub: https://github.com/UCSC-VLAA/MeDiM
Introduction… See the full description on the dataset page: https://huggingface.co/datasets/JiaMao/pathgen.life-path-number-distribution
Life Path number distribution over the 1900-2099 civil calendar
Every one of the 73,049 calendar dates from 1900-01-01 to 2099-12-31, each reduced to its Pythagorean Life Path number, plus the resulting frequency distribution.
License: Creative Commons Attribution 4.0 International (CC-BY-4.0) · Canonical source: https://numeroai.me/articles/life-path-number-distribution/ (RU)
What is in here
File
Size
What it is
life-path-dates.csv
1.8 MB
Row-level… See the full description on the dataset page: https://huggingface.co/datasets/vk0/life-path-number-distribution.clinical-tpib-pathway-stability-and-risk-guardrails-v0.1What this dataset tests
Given proposed next interventionsclassify stability in the response manifoldand add a guardrail that prevents known failure patterns.
Labels
stable_move
high_variance_move
risky_move
contraindicated_move
Typical failures
repeating tolerance loops
retrial after paradoxical worsening
allowing oscillation through exposure gaps
undertreating high-risk physiology
adding noise in flat nonresponse cases
Suggested prompt wrapper
System
You evaluate… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-tpib-pathway-stability-and-risk-guardrails-v0.1.clinical-therapeutic-pathway-adaptive-navigation-v0.1What this dataset tests
Whether a model can choose the best next pathway movebased on manifold position and invariant branch signatures.
Navigation actions
stay_course
adjust_dose
switch_class
pause_observe
add_support_module
deescalate_exit_loop
urgent_escalation
Outputs
one recommended action
2 to 3 microsteps
one navigation label
Labels
coherent_navigation
partially_coherent
incoherent_navigation
Typical failures
protocol reflex that ignores invariant… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-therapeutic-pathway-adaptive-navigation-v0.1.clinical-therapeutic-pathway-trajectory-manifold-construction-v0.1What this dataset tests
Whether a model can represent treatment pathways as trajectoriesthrough a high-dimensional patient state space.
It is a movie dataset.
Each example encodes
baseline state vector
time-indexed state vectors
interventions and timing
modality deltas
trajectory shape features
Manifold summary labels
smooth_improvement
plateau
oscillatory
deterioration
mixed_uncertain
Typical failures
treating the pathway as a single snapshot
ignoring modality… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-therapeutic-pathway-trajectory-manifold-construction-v0.1.climate-resilience-pathway-reconstruction-v0.1What this dataset tests
Whether a system-level interventionproduced a durable shift toward resilience.
Required outputs
pre-intervention basin
intervention entry point
trajectory curvature change
recovery timing
residual fragility
Use case
First layer of the Resilience Intervention Pathways trinity.
clinical-counterfactual-coherence-optimal-path-selection-v0.1What this dataset tests
Whether a model can choose the counterfactual path that maximizessystemic coherence versus the real outcome.
Required outputs
optimal_intervention_choice
coherence_score_delta
justification_narrative
Choice set
REAL
CF1
CF2
CF3
Coherence means
explains and stabilizes multi-stream signals
avoids iatrogenic oscillation
reduces complication risk
supports a stable recovery basin
Typical failures
picking the highest single metric
skipping… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-counterfactual-coherence-optimal-path-selection-v0.1.PathOAQclinical-therapeutic-pathway-offramp-onramp-signature-detection-v0.1What this dataset tests
Whether a model can detect invariant signatures at clinical branch pointsand predict the next trajectory basin after an intervention choice.
Branch points include
dose change
switch class
pause
escalation
de-escalation
add-on support
Outputs
invariant signature label
predicted next basin
off-ramp or on-ramp classification
Basin labels
stabilization_basin
tolerance_loop_basin
oscillation_basin
deterioration_basin
delayed_recovery_basin… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-therapeutic-pathway-offramp-onramp-signature-detection-v0.1.africa-synth-malaria-diagnostic-treatment-pathways-all
Africa Synth Malaria Diagnostic Treatment Pathways All | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: health - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-malaria-diagnostic-treatment-pathways-all.cig-causal-path-attribution-fidelity-v0.1What this dataset tests
Whether the model attributes an outcome changeto the correct causal path.
It must follow the graph.
No invented edges.No skipped mediators.
Data format
Each row includes
node set and edge list
an intervention
an observed outcome change
candidate paths
a model attribution
a gold path
Labels
correct-path
wrong-path
invented-edge
skipped-mediator
Typical failures
claiming direct causation where none exists
selecting the wrong branch… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/cig-causal-path-attribution-fidelity-v0.1.clinical-pathological-basin-constraint-mapping-v0.1What this dataset tests
What constraints keep a pathological basin stable.
Not just featuresExit barriers.
Required outputs
basin constraints
type and strength
leverage points
minimal constraint break set
measurement plan
Use case
First layer of the Therapeutic Niche Construction Kit.
market-cross-market-contagion-pathway-expansion-v0.1What this dataset tests
Whether a system can map second-order market contagion.
Scope
Second wave only.Days to weeks.This extends beyond first-order transmission.
Required outputs
second-order nodes
contagion path graph
leverage amplification score
margin call pressure index
cross-asset correlation shift
Shift labels
correlation_up
correlation_down
mixed
Constraints
Market only.Do not forecast price direction.Model propagation pathways and constraint pressure.
Evaluation focus… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/market-cross-market-contagion-pathway-expansion-v0.1.PathPal
Dataset Name: Descriptive and Categorized Travel Snippets
Description
This dataset is a synthetic collection created from 160 different travel-related categories, providing detailed descriptions of accessible adventures and activities. It aims to inspire and inform individuals about opportunities accommodating diverse needs, each entry pairing a detailed description with a category label reflecting the nature of the activity.
Dataset Structure
Descriptions:… See the full description on the dataset page: https://huggingface.co/datasets/alternativerealitystudio/PathPal.synthetic_pathologyTogootogtokh, E., & Klasen, C. (2025). Synthetic Pathology Dataset (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14974650
Link: https://zenodo.org/records/14974650
Github code repo: https://github.com/enkhtogtokh/voicegrpo
A synthetic dataset was generated to mimic realistic distributions of voice parameters (e.g., pitch, jitter,
shimmer, harmonic-to-noise ratio, age, and a continuous disease severity score). The pathological
labels were derived based on domain-inspired thresholds… See the full description on the dataset page: https://huggingface.co/datasets/enkhtogtokh/synthetic_pathology.autonomous-driving-minimal-harm-gradient-pathfinding-v0.1
What this dataset tests
Whether a system can navigatea minimal-harm gradient through a driving scene.
The task is to identify the paththat minimizes total deformationacross all agents.
Required outputs
gradient vectors across actions
minimal harm path
deformation score
stability margin
Use case
Second layer of ethical navigation stack.
Transforms ethical cost fieldinto an actionable path.
Evaluation
Predictions must:
describe gradient… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-minimal-harm-gradient-pathfinding-v0.1.clinical-etiological-pathway-divergence-mapping-v0.1What this dataset tests
Whether a model can identify how different etiological pathwaysenter the same stable illness basin.
Required outputs
pathway_type
entry_signature_top5
distance_from_basin_core_0_100
Pathway types
viral_triggered
stress_triggered
toxic_exposure
iatrogenic
mixed_or_unknown
Typical failures
using basin_id as a proxy for pathway
ignoring early phase features
outputting distance with no rationale
Suggested prompt wrapper
System
You map… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-etiological-pathway-divergence-mapping-v0.1.clinical-pathological-basin-identification-v0.1What this dataset tests
Disease as a pathological attractor basinin patient state-space.
Not a labelNot a targetA stable state.
Required outputs
basin signature
stability depth
dominant feedback loops
exit barriers
Use case
Pre-work for basin transition therapy datasetsand adaptive pathway navigation.
africa-synth-cancer-cancer-pathology-histopathology-all
Cancer Pathology Histopathology Africa | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: health - 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
Health datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-cancer-cancer-pathology-histopathology-all.