datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
world-signals
World Signals — a daily cross-country snapshot of attention
One folder per day under data/YYYY-MM-DD/, and the same files copied to latest/.
Built every morning (JST) by the EmpireOS world model. Nothing is generated by a model; every row is a measurement from a public source.
file
what
source
search_trends.csv
rising searches, 30 countries, with approximate traffic and the headline that drove them
Google Trends daily RSS
podcast_charts.csv
top-100 podcasts, 30… See the full description on the dataset page: https://huggingface.co/datasets/Lilambd/world-signals.SIGNAL
SIGNAL
Dataset for Semantic and Inferred Grammar Neurological Analysis of Language
License: CC BY 4.0
Authors
Anna Komissarenko1,2,*,
Ekaterina Voloshina1,
Anastasia Cheveleva2,
Ilia Semenkov1,2,
Oleg Serikov3,
Alex Ossadtchi1,2,4,*
1 AIRI, Moscow, Russia2 Higher School of Economics, Moscow, Russia3 Center of Excellence for Generative AI, KAUST, KSA4 LIFT, Life Improvement by Future Technologies Institute, Moscow, Russia
*Corresponding authors… See the full description on the dataset page: https://huggingface.co/datasets/ContributorsSIGNAL/SIGNAL.Traffic-sign-detection-VietNam
Vietnam Traffic Sign Detection Dataset
This repository contains the dataset for detecting road traffic signs in Vietnam using the state-of-the-art YOLO object detection model.
📂 Repository Structure
The dataset is structured in the standard YOLO format, containing images and corresponding annotations divided into training, validation, and testing sets.
├── classid.xlsx # Excel file mapping class IDs to names
├── dataset/
│ ├── train/ #… See the full description on the dataset page: https://huggingface.co/datasets/star092304/Traffic-sign-detection-VietNam.FinRL_BTC_news_signals
Overview
This news dataset is created for FinAI Contest 2025 Task 1 FinRL-DeepSeek for Crypto Trading. We collected BTC news for the training and testing period from different sources [1] [2]. For each news, we use the DeepSeek chat model to extract the sentiment score, risk level, and their correpsonding confidence level and one-sentence reasoning.
Column
Description
date_time
Timestamp of when the news article was published (in UTC).
title
Title of the news article.… See the full description on the dataset page: https://huggingface.co/datasets/SecureFinAI-Lab/FinRL_BTC_news_signals.vc-deal-flow-signal
Startup GitHub Engineering Velocity Panel
A longitudinal dataset of public GitHub engineering-activity signals for venture-backed startups. It is published under CC BY 4.0 for reproducible research, data journalism, and analysis of alternative data in venture capital.
219 startup-period observations
55 unique startups
18 sectors
4 quarterly periods: Q3 2025, Q4 2025, Q1 2026, and Q2 2026
No missing values in the primary table
Version: 1.0.0
The 219 rows are startup-period… See the full description on the dataset page: https://huggingface.co/datasets/the-data-nerd/vc-deal-flow-signal.Traffic-sign-detection-VietNam
Vietnam Traffic Sign Detection Dataset
This repository contains the dataset for detecting road traffic signs in Vietnam using the state-of-the-art YOLO object detection model.
📂 Repository Structure
The dataset is structured in the standard YOLO format, containing images and corresponding annotations divided into training, validation, and testing sets.
├── classid.xlsx # Excel file mapping class IDs to names
├── dataset/
│ ├── train/ #… See the full description on the dataset page: https://huggingface.co/datasets/Minh124689/Traffic-sign-detection-VietNam.scgnn-v2-storesignal-500
The Signal 500: a hand-scored catalogue of 495 news and blog sources
Snapshot generated 2026-08-30 by FeedsBar. The live, always-current version of this catalogue is at feeds.bar/signal-500 and the method is published at feeds.bar/signal-500/method.
This is a mirror of the Zenodo deposit, DOI 10.5281/zenodo.22311918 (concept DOI 10.5281/zenodo.22311917 always resolves to the latest version).
What is in this dataset
signal-500.csv: one row per source. Name, domain… See the full description on the dataset page: https://huggingface.co/datasets/graemechard/signal-500.SignedGraphs
Learning Stance Embeddings from Signed Social Graphs
This repo contains the datasets from our paper Learning Stance Embeddings from Signed Social Graphs.
[PDF]
[HuggingFace Datasets]
This work is licensed under a Creative Commons Attribution 4.0 International License.
Overview
A key challenge in social network analysis is understanding the position, or stance, of people in the graph on a large set of topics. In such social graphs, modeling (dis)agreement patterns… See the full description on the dataset page: https://huggingface.co/datasets/Twitter/SignedGraphs.ringdown-damping-signals
Ring-Down Damping Signals: 12K Labelled Decay Waveforms
How this dataset was created
This is original data created programmatically — it was not collected, recorded, scraped, or
derived from any external source. Each of the 12,000 signals was generated from scratch by a
deterministic, seeded Python program:
Draw the label theta uniformly at random from [1, 5], plus a random overall base-decay rate.
Pick a random number of tones ("modes", 30–55), each with a… See the full description on the dataset page: https://huggingface.co/datasets/botfx/ringdown-damping-signals.yellow-sign-7dce26
yellow-sign-7dce26
Synthetic products test data: 40 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/terraVale/yellow-sign-7dce26.significant-table-7d9bce
significant-table-7d9bce
Synthetic sensors test data: 37 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/vectorridge/significant-table-7d9bce.unnat-alpha-signals-india
🚀 Unnat Alpha Signals India (UASI)
Institutional Multi-Factor Quantitative Intelligence & Alpha Signals for Indian Equities (NSE / BSE)
📌 Executive Summary
Unnat Alpha Signals India (UASI) is an institutional-grade quantitative equities intelligence dataset curated and maintained by Unnat Stock AI (a flagship sovereign fintech division of Unnat AI Solutions and Unnat Tuition Centre).
This dataset provides researchers, algorithmic traders, quantitative… See the full description on the dataset page: https://huggingface.co/datasets/unnattuition/unnat-alpha-signals-india.clinical-quad-trial-pop-variance-realworld-subgroup-signal-generalization-claim-drift-v0.1What this repo does
This dataset models population mismatch narrative drift in clinical trial reporting. It predicts when the interaction between trial population variance, real-world variance, subgroup signal strength, and generalization claim intensity indicates that narrative claims extend beyond what the data supports.
Core quad
trial_population_variance_index
real_world_variance_index
subgroup_signal_strength_index
generalization_claim_index
Prediction target
label_claim_drift
Row… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-trial-pop-variance-realworld-subgroup-signal-generalization-claim-drift-v0.1.cross-signal-data
cross-signal-data
The labeled Polymarket crash-recovery dataset behind a 80.2% win-rate live trading bot.
308 closed trades. Real Polymarket markets. Real entry triggers. Real outcomes. Public for anyone who wants to build their own mean-reversion bot, replicate our results, or prove us wrong.
What's in here
A single CSV (data/crashes_v1.csv) with one row per closed trade on Polymarket where the crash-recovery bot entered. Each row has:
The market (public Polymarket… See the full description on the dataset page: https://huggingface.co/datasets/LuciferForge/cross-signal-data.fmcw-vital-signsclinical-quad-target-engagement-biomarker-shift-adaptive-resistance-signal-fade-v0.1Clinical Quad Target Engagement Biomarker Shift Adaptive Resistance Signal Fade v0.1
Each row is a patient snapshot.
Core quad
Target engagementBiomarker driftAdaptive resistanceSignal fade
Target
label_loss_of_response_next_60d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT
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-signal-benchmarks
CryptoSignalBot Benchmarks
Benchmark dataset of 20 cryptocurrency signal cases with individual scores for signal strength, sentiment, market momentum, volatility risk, and liquidity.
Built by CryptoInsider.it.
Dataset Description
This dataset contains benchmark data for an AI-powered cryptocurrency monitoring bot tracking blockchain news, Bitcoin and Ethereum market updates, DeFi trends, Web3 developments, and digital asset insights.
Columns… See the full description on the dataset page: https://huggingface.co/datasets/cryptoinsider-it/crypto-signal-benchmarks.clinical-quad-evidence-drift-endpoint-signal-claim-language-certainty-narrative-break-v0.1What this repo does
This dataset models narrative continuity break in clinical trial summaries. It predicts when the interaction between evidence consistency, endpoint signal strength, claim strength, and certainty language indicates that the written narrative has drifted away from the underlying trial results.
Core quad
evidence_consistency_index
endpoint_signal_strength_index
claim_strength_index
certainty_language_index
Prediction target
label_narrative_break
Row structure
Each row… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-evidence-drift-endpoint-signal-claim-language-certainty-narrative-break-v0.1.oncology-signal-alignment-boundary-v0.4
What this dataset does
This dataset tests whether a model can detect signal-alignment failure in a synthetic tissue ecology.
The task is not cancer diagnosis.
The task is to classify whether readable biological signals can still coordinate repair.
Core Stability Idea
A tissue may still read damage, repair, immune, and metabolic signals but fail because those subsystems no longer align around coherent action.
This dataset moves beyond readability collapse.
It tests… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/oncology-signal-alignment-boundary-v0.4.alphafold-allosteric-signal-transmission-coherence-mapping-v0.1
What this dataset tests
Whether an intelligence system can detect whendynamic motion in one protein regioncoherently transmits to the active siteor when that communication collapses.
The dataset treats proteins as communication networks.Signal from region A must reach the active sitewith measurable gain and stability.
Loss of transmission predictsallosteric drug failureand resistance emergence.
Required outputs
transmission_coherence_score
active_site_response_gain… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/alphafold-allosteric-signal-transmission-coherence-mapping-v0.1.aikyatansinha_s-and-p-500-institutional-signals-dataset
S&P 500 Institutional Signals Dataset
S&P 500 Institutional Derivatives: Vectorized Black-Scholes & Z-Score Analysis
Dataset Info
Source: Kaggle
Original Size: 28.60 MB
Kaggle Downloads: 8
Files: 1
Files
SP500_Institutional_Signals.csv
Mirrored from Kaggle
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.crowdsourced-text-to-sign-language-rule-based-translation-corpus
Dataset Card for Dataset Name
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/sltAI/crowdsourced-text-to-sign-language-rule-based-translation-corpus.oncology-missing-signal-detection-v0.6
What this dataset does
This dataset tests whether a model can detect missing-signal instability risk in a synthetic tissue ecology.
The task is not cancer diagnosis.
The task is to classify whether the observed signal set is sufficient to support stable sensing.
Core Stability Idea
A tissue may appear stable because a critical signal is absent.
Absence of signal is not the same as evidence of stability.
This dataset tests whether a model can distinguish true calm… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/oncology-missing-signal-detection-v0.6.clinical-pre-syndromic-signal-coherence-detection-v0.1What this dataset tests
Whether an intelligence system can detectthe earliest coherent signal of disease formationbefore diagnostic thresholds are crossed.
This is not outcome prediction.It is structure recognition under noise.
Use case
First layer of the Latent Syndrome Recognition Grid.
oncology-signal-latency-boundary-v0.5
What this dataset does
This dataset tests whether a model can detect timing failure in a synthetic tissue ecology.
The task is not cancer diagnosis.
The task is to classify whether a tissue-state scenario can detect and act before the repair opportunity closes.
Core Stability Idea
A tissue may detect the correct signal, interpret it correctly, and coordinate a response, but still fail because action arrives too late.
This dataset tests the timing layer of… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/oncology-signal-latency-boundary-v0.5.signup-bonuses
US sign-up bonuses, verified at the source
Every US bank, credit card, brokerage, app, travel-loyalty and crypto sign-up bonus tracked by
Dealaka, with each figure checked against the institution's own published
terms. No affiliate placement, and no ranking is sold.
Most bonus data on the web is affiliate-placed: the ordering reflects commission, and figures get
copied between sites until nobody knows the original. This is built the other way round. Every
entry links the page it… See the full description on the dataset page: https://huggingface.co/datasets/Dealaka/signup-bonuses.signalforge-deepcop
SignalForge / DeepCOP LNCaP Dataset
Companion data for the SignalForge
translational analytics platform.
Sourced from the DeepCOP project
(Moo et al., 2019 — PMID 31504186).
Files
File
Description
phase1_compounds_morgan_2048.csv
LINCS Phase 1 compound Morgan-2048 fingerprints (159 MB)
phase2_compounds_morgan_2048.csv
LINCS Phase 2 compound Morgan-2048 fingerprints (14 MB)
DESeq2results.rar
LNCaP DESeq2 differential expression results archive… See the full description on the dataset page: https://huggingface.co/datasets/Geoffkats/signalforge-deepcop.