datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
signature-to-mechanisms
Signature-to-Mechanisms (S2M)
Signature-to-Mechanisms (S2M) provides standardized tasks designed to enable the assessment of mechanistic reasoning in AI agents. Each task supplies the elements necessary for evaluation, including experimental context, molecular signatures, and task prompts, so that agents can be tested on their ability to reconstruct mechanistic explanations reported in peer-reviewed biological studies.
S2M formalizes a core challenge in computational biology:… See the full description on the dataset page: https://huggingface.co/datasets/vida-nyu/signature-to-mechanisms.africa-synth-radar-phased-array-signatures-all
Long-Range Phased-Array Radar Signatures | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: parquet - Sector: culture_language - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-radar-phased-array-signatures-all.africa-synth-radar-cuas-signatures-all
Counter-UAS Radar Signatures | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: parquet - Sector: culture_language - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-radar-cuas-signatures-all.Acoustic-Emotion-Vocal-Signature
Acoustic Predictors of Emotional States and Distress Signatures
Project Overview:
This dataset is sourced from Kaggle (Speech Emotion Detection Dataset), containing features from the RAVDESS and TESS databases.
The dataset consists of approximately 10,000 rows and 12 features.
Core Features: Key attributes include Pitch (Hz), Intensity (dB), and 13 coefficients of Mel-Frequency Cepstral Coefficients (MFCCs).
Clinical Application: This research facilitates the identification of a "vocal… See the full description on the dataset page: https://huggingface.co/datasets/yuvalhazan2/Acoustic-Emotion-Vocal-Signature.legal-witness-credibility-coherence-signature-v0.1What this dataset is
You receive
in-court testimony
prior statements
objective facts
contradiction signals
incentive signals
impeachment signals
You decide
Does testimony stay aligned with prior statements and objective facts
Answer
coherent
or
incoherent
Why this matters
Credibility drift predicts
impeachment success
verdict instability
appeal risk
system trust collapse
crypto-prime-market-signatures
🔱 ZKAEDI PRIME — Crypto.com Market Energy Signatures
Live market data from Crypto.com Exchange
enriched with ZKAEDI PRIME Recursively Coupled Hamiltonian energy features.
Hamiltonian Framework
Features
Feature
Description
prime_energy_mean
Mean attractor energy at convergence
prime_phase_velocity
Energy trajectory slope (trend strength)
prime_hurst_proxy
Persistence estimate (>0.5 = trending, <0.5 = reverting)
prime_bifurcation_count
Phase… See the full description on the dataset page: https://huggingface.co/datasets/zkaedi/crypto-prime-market-signatures.p2-etf-signature-granger-causality-resultslegal-docket-pressure-signature-detection-v0.1Clarus Docket Pressure Signature Detection v0.1
This dataset tests whether a model can detect when court workload pressure begins to erode procedural fairness.
Courts rarely collapse in a single moment.
They drift into overload.
Caseload rises.
Resources stay fixed.
Delays grow.
Procedures compress.
At some point the system stops serving justice and starts serving throughput.
This dataset detects that threshold.
Core question
Does the court system remain structurally balanced under workload… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/legal-docket-pressure-signature-detection-v0.1.