datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
discover-toolsdiscoverybenchData-driven Discovery Benchmark from the paper:
"DiscoveryBench: Towards Data-Driven Discovery with Large Language Models"
🔭 Overview
DiscoveryBench is designed to systematically assess current model capabilities in data-driven discovery tasks and provide a useful resource for improving them. Each DiscoveryBench task consists of a goal and dataset(s). Solving the task requires both statistical analysis and semantic reasoning. A faceted evaluation allows open-ended… See the full description on the dataset page: https://huggingface.co/datasets/allenai/discoverybench.parkinsons-evidence-to-discovery-prioritisation
Parkinson's Disease Evidence-to-Discovery Prioritisation Dataset
This Hugging Face dataset package contains processed research assets from an AI-assisted evidence synthesis and computational validation project on Parkinson's disease (PD) prevention and disease-modifying therapeutic strategy prioritisation.
Dataset Summary
The dataset integrates:
evidence-priority scores for PD prevention and disease-modification candidates;
pathway-to-intervention framework;
individual… See the full description on the dataset page: https://huggingface.co/datasets/hssling/parkinsons-evidence-to-discovery-prioritisation.Reverse-circuit-discoverypd-discovery-benchmark-dashboard
Parkinson's Disease Discovery Benchmark Dashboard
Reusable benchmark, knowledge graph, manuscript resource, and Streamlit dashboard for Parkinson's disease target-to-intervention discovery.
This repository integrates evidence-synthesis priority scores, target tractability, omics/pathway recurrence, ChEMBL compound activity, RDKit physicochemical heuristics, Human Protein Atlas cell-type context, iPSC/stem-cell validation mappings, and publication-ready figures.… See the full description on the dataset page: https://huggingface.co/datasets/hssling/pd-discovery-benchmark-dashboard.Original-circuit-discoveryagent-discoverability-ado-score-romania
Agent Discoverability (ADO Score) — Romania, September 2026
130 Romanian domains probed for A2A Agent Cards, MCP discovery, llms.txt, schema.org and Wikidata. Zero Agent Cards; mean ADO Score 17/100. Raw data, scripts and scoring spec, CC BY 4.0.
Canonical study (analysis, charts, interpretation):
Romanian ·
English
What this is
On 8 September 2026 a standard-library Python probe (published) requested, for each of 130 domains, the homepage without JavaScript… See the full description on the dataset page: https://huggingface.co/datasets/WebSEM-ai/agent-discoverability-ado-score-romania.ai-overview-book-discovery-citations
Who does Google's AI cite when readers ask what to read next?
Canonical release: https://doi.org/10.5281/zenodo.22852307
This repository mirrors that deposit. Cite the DOI.
The finding
16 reader buying-intent queries, run through Google with AI Overview capture on
13 August 2026. Eleven returned an AI Overview, carrying 95 citations
between them across 38 unique domains.
Not one went to a website controlled by an author.
Category
Citations… See the full description on the dataset page: https://huggingface.co/datasets/sempite/ai-overview-book-discovery-citations.DiscoveriesTimeline
DiscoveriesTimeline
tags: regression, discovery_year, regional_impact
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'DiscoveriesTimeline' dataset is a curated collection of significant human discoveries throughout history, categorized by the nature of the discovery, the year it occurred, the region/global impact, and its labels which classify the type of impact and the field of discovery. This dataset can be useful for ML… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/DiscoveriesTimeline.discover-toolsdrug-discovery-demosaas-discovery-benchmarks
SaaS Discovery Engine Benchmarks
Benchmark dataset of 20 SaaS discovery cases with individual scores for category fit, feature match, use case alignment, comparison ranking, discovery presence, and overall fit across AI tools, business software, marketing platforms, and more.
Built by SaaSListings.online.
Dataset Description
This dataset contains benchmark data for a software discovery and comparison engine helping users identify the right SaaS products for… See the full description on the dataset page: https://huggingface.co/datasets/saas-discovery-benchmarks/saas-discovery-benchmarks.planetary_exoplanet_discovery_metricsacademic-discovery-data