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.SIGNAL-Dataset-Hiddens-meta-llama_Meta-Llama-3-8B-InstructFinRL_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.louisiana-ai-signals-public-ledger
Louisiana AI Signals — Public Ledger
Official public dataset distribution of the Louisiana AI Signals — Public Ledger, published by Louisiana AI Hub, LLC.
Canonical current system of record: https://louisianaaihub.com/ledger
This Hugging Face dataset is an official public distribution snapshot. It is not an independent system of record. If this distribution differs from the current Public Ledger at LouisianaAIHub.com, the current Public Ledger controls.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/LouisianaAIHub/louisiana-ai-signals-public-ledger.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.UK_Traffic_Sign_Inspection_DatasetTraffic-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.Dataset-Signal-Peptides
Description
This dataset contains 25693 amino acid sequences and labels on each amino acid.
Protein Format: AA sequence
Splits
traing: 20490
valid: 2569
test: 2634
Related paper
The dataset is from SignalP 6.0 predicts all five types of signal
peptides using protein language models.
Label
Each amino acid has 7 classes:
S (0): Sec/SPI signal peptide | T (1): Tat/SPI or Tat/SPII signal peptide | L (2): Sec/SPII signal peptide |
P (3): Sec/SPIII signal… See the full description on the dataset page: https://huggingface.co/datasets/SaProtHub/Dataset-Signal-Peptides.SIGNAL-Dataset-Hiddens-RefalMachine-RuadaptQwen2.5-7B-Instructscgnn-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.SIGNAL-Dataset-Hiddens-Qwen-Qwen3-4B-Instruct-FP8This dataset contains hidden states of Qwen3-4B-Instruct model generated using SIGNAL Dataset.
Sentence tokenization
from transformers import AutoTokenizer
from datasets import load_dataset
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-4B-Instruct-2507")
# TBD
SIGNAL-Dataset-Hiddens-RefalMachine-RuadaptQwen2.5-14B-Instructringdown-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.SIGNAL-Dataset-Hiddens-meta-llama_Meta-Llama-3-8Bsignificant-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.SIGNAL-Dataset-Hiddens-RefalMachine-RuadaptQwen3-4B-Instructclinical-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.clinical-quad-signal-detection-drift-ae-coding-variance-unblinding-risk-dsmb-decision-delay-v0.1
Clinical Quad: Signal Detection Drift × AE Coding Variance × Unblinding Risk × DSMB Decision Delay
This dataset targets safety governance collapse.
Signals weaken or shift.AE coding diverges across sites.Unblinding pressure rises.The DSMB response slows.
The quad can turn a manageable safety issue into a governance failure.
Variables
signal_detection_drift (low | medium | high)
ae_coding_variance (low | medium | high)
unblinding_risk (low | medium | high)… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-signal-detection-drift-ae-coding-variance-unblinding-risk-dsmb-decision-delay-v0.1.clinical-quad-safety-signal-latency-reporting-lag-conmed-confound-v0.1Clarus Clinical Quad Coupling Safety Signal Latency Reporting Lag Conmed Confound v0.1
What this dataset isThis dataset tests whether a model can detect latent safety signals when four interacting nodes create uncertainty.
Quad coupling nodes
Emerging safety event pattern
Reporting or entry latency
Concomitant medication or behavior confound
Governance decision timing such as DSMB, batch release, or safety review
Input
One vignette
OutputReturn strict JSON only.
Required output… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-safety-signal-latency-reporting-lag-conmed-confound-v0.1.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-site-performance-signal-drift-oversight-lag-v0.1Clarus Clinical Quad Coupling Site Performance Signal Drift Oversight Lag v0.1
What this dataset isThis dataset tests whether a model can detect site-level performance drift driven by four interacting nodes.
Quad coupling nodes
Enrollment or reporting signal shift
Data capture or documentation gaps
Operational staffing or monitoring lag
Governance pressure such as reviews, incentives, or interim analyses
Input
One site vignette
OutputReturn strict JSON only.
Required output JSON… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-site-performance-signal-drift-oversight-lag-v0.1.SIGNAL-Dataset-Hiddens-Qwen-Qwen2.5-7Bclinical-latent-sign-elicitation-v0.1Clinical Latent Sign Elicitation v0.1
Goal
Test whether a model can treat weak indicators as weak
Detect two failures
Over interpretation into certainty
Ignoring the weak signal
What it measures
latent_flaggedResponse marks uncertainty and keeps options open
overinterpretsResponse states a definitive conclusion from weak input
ignores_signalResponse dismisses or fails to act on weak warning signs
next_step_okResponse offers a reasonable plan plus escalation triggers
Dataset format
Each… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-latent-sign-elicitation-v0.1.clinical-vital-sign-escalation-response-coherence-risk-v0.1What this repo is for
Detect when
vital signs deteriorate
but escalation and response
fail
Common breaks
high NEWS not escalated
doctor notified late
review done but no action
action taken too late
Used for
deterioration detection
ward safety
ICU outreach
rapid response auditing
climate-cross-scale-signal-decoupling-detection-v0.1What this dataset tests
Whether fast and slow climate variablesare losing their ability to coordinate across scales.
Required outputs
cross-scale coherence index
lag structure shift
decoupling onset time
affected scales
early warning confidence
Use case
First layer of Tipping Point Early-Warning Signatures.