datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Forex_Factory_Calendar
📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07)
This dataset contains a comprehensive archive of macroeconomic calendar events sourced from Forex Factory, spanning from January 1, 2007 to April 7, 2025.Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context.
📦 Dataset Summary
Total timespan: 2007-01-01 → 2025-04-07
Format: CSV (UTF-8)
Timezone:… See the full description on the dataset page: https://huggingface.co/datasets/Ehsanrs2/Forex_Factory_Calendar.stock_factorsFACTS-grounding-public
FACTS Grounding 1.0 Public Examples
860 public FACTS Grounding examples from Google DeepMind and Google Research
FACTS Grounding is a benchmark from Google DeepMind and Google Research designed to measure the performance of AI Models on factuality and grounding.
▶ FACTS Grounding Leaderboard on Kaggle▶ Technical Report▶ Evaluation Starter Code▶ Google DeepMind Blog Post
Usage
The FACTS Grounding benchmark evaluates the ability of Large Language Models (LLMs)… See the full description on the dataset page: https://huggingface.co/datasets/google/FACTS-grounding-public.Forex_Factory_Calendar
📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07)
This dataset contains a comprehensive archive of macroeconomic calendar events sourced from Forex Factory, spanning from January 1, 2007 to April 7, 2025.Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context.
📦 Dataset Summary
Total timespan: 2007-01-01 → 2025-04-07
Format: CSV (UTF-8)
Timezone:… See the full description on the dataset page: https://huggingface.co/datasets/Tropstan/Forex_Factory_Calendar.us-factory-plant-closings-manufacturing-layoffs-warn-act-notices-daily
US factory and plant closings — the actual WARN Act manufacturing filings, rebuilt every day
Last rebuilt: 2026-09-24. 4,835 layoff and closure notices filed by
factories and industrial plants, auto assembly and parts makers, food and beverage processors and packers, metal, plastics, paper, textile, furniture and electronics producers, and the industrial suppliers that close with them with US state labor departments — 616,065 workers,
2,773 employers, 48 states, 1989–2027.
1,507… See the full description on the dataset page: https://huggingface.co/datasets/APProjects/us-factory-plant-closings-manufacturing-layoffs-warn-act-notices-daily.x-factHomepage: https://github.com/utahnlp/x-fact
world_factbookindeed-job-postings-2026
Indeed Jobs + Company Firmographics — Sample (2026)
A sample of 1,000 Indeed job postings across diverse roles and major US
cities, each enriched with parsed salary ranges, full job descriptions, location,
and joined company firmographics (536 unique employers: rating, size,
revenue, CEO, founded, website, socials).
This is a sample. To pull fresh, larger, or filtered data (60+ countries, native
salary-range filter, free company profiles), run the source actor:
Indeed Jobs… See the full description on the dataset page: https://huggingface.co/datasets/fact-den/indeed-job-postings-2026.news_media_bias_and_factuality
News Media Factual Reporting and Political Bias
Dataset introduced in the paper "Mapping the Media Landscape: Predicting Factual Reporting and Political Bias Through Web Interactions" published in the CLEF 2024 main conference.
Similar to the news media reliability dataset, this dataset consists of a collections of 4K new media domains names with political bias and factual reporting labels.
Columns of the dataset:
source: domain name
bias: the political bias label. Values: "left"… See the full description on the dataset page: https://huggingface.co/datasets/sergioburdisso/news_media_bias_and_factuality.ths-quant-factor-dictionary
THS Quant Factor Dictionary (同花顺量化因子字典)
Quantitative factor dictionaries from THS (同花顺/Tonghuashun), covering A-share and overseas markets. Includes alpha factors, Barra risk factors, sell-side consensus estimates, and real-time news factors.
These dictionaries describe the schema and metadata of THS's quantitative factor database — they do not contain actual factor values, but serve as essential references for anyone working with THS quant data.
Files… See the full description on the dataset page: https://huggingface.co/datasets/obaydata/ths-quant-factor-dictionary.Forex_Factory_Calendar
📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07)
This dataset contains a comprehensive archive of macroeconomic calendar events sourced from Forex Factory, spanning from January 1, 2007 to April 7, 2025.Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context.
📦 Dataset Summary
Total timespan: 2007-01-01 → 2025-04-07
Format: CSV (UTF-8)… See the full description on the dataset page: https://huggingface.co/datasets/karenholzkopf/Forex_Factory_Calendar.wooden_window_factory_01_enriched_v2
Real industrial data, AI-ready for Physical AI
ORION WWF1 – Certified Sample Pack v2.0 (Enriched)
Version
Status
Sector
Pipeline
v2.0-Enriched
🟢 Level 3 Certified
Industrial-Manufacturing
Orion Unified V5.2
🌟 The Evolution: Beyond Anonymization
The ORION WWF1 v2.0 Enriched pack represents the professional evolution of our baseline industrial dataset. While previous versions focused on privacy-first anonymization, v2.0 transforms raw video… See the full description on the dataset page: https://huggingface.co/datasets/Orion-The-Lab/wooden_window_factory_01_enriched_v2.Augmented_MultiClaim_FactCheck_Retrieval
Augmented MultiClaim FactCheck Retrieval Dataset
1. Dataset Summary
This dataset is a collection of social media posts that have been augmented using a large language model (GPT-4o). The original dataset was sourced from the paper Multilingual Previously Fact-Checked Claim Retrieval by Matúš Pikuliak et al. (2023). You can access the original dataset from here. The dataset is used for improving the ability to comprehend content across multiple languages by integrating… See the full description on the dataset page: https://huggingface.co/datasets/MultiMind-SemEval2025/Augmented_MultiClaim_FactCheck_Retrieval.Forex_Factory_Calendar
📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07)
This dataset contains a comprehensive archive of macroeconomic calendar events sourced from Forex Factory, spanning from January 1, 2007 to April 7, 2025.Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context.
📦 Dataset Summary
Total timespan: 2007-01-01 → 2025-04-07
Format: CSV (UTF-8)
Timezone:… See the full description on the dataset page: https://huggingface.co/datasets/obrotowy/Forex_Factory_Calendar.Forex_Factory_Calendar
📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07)
This dataset contains a comprehensive archive of macroeconomic calendar events sourced from Forex Factory, spanning from January 1, 2007 to April 7, 2025.Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context.
📦 Dataset Summary
Total timespan: 2007-01-01 → 2025-04-07
Format: CSV (UTF-8)… See the full description on the dataset page: https://huggingface.co/datasets/NavidAzima/Forex_Factory_Calendar.FactBench
FactBench Leaderboard
VERIFY: A Pipeline for Factuality Evaluation
Language models (LMs) are widely used by an increasing number of users, underscoring the challenge of maintaining factual accuracy across a broad range of topics. We present VERIFY (Verification and Evidence Retrieval for Factuality evaluation), a pipeline to evaluate LMs' factual accuracy in real-world user interactions.
Content Categorization
VERIFY considers the verifiability of LM-generated… See the full description on the dataset page: https://huggingface.co/datasets/launch/FactBench.behavioral-risk-factor-surveillance-system-brfss-p
Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data (2010 and prior)
Description
1995-2010. BRFSS land line only prevalence data. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/behavioral-risk-factor-surveillance-system-brfss-p.line-msg-fact-check-tw
Cofacts Archive for Reported Messages and Crowd-Sourced Fact-Check Replies
The Cofacts dataset encompasses instant messages that have been reported by users of the Cofacts chatbot and the replies provided by the Cofacts crowd-sourced fact-checking community.
Attribution to the Community
This dataset is a result of contributions from both Cofacts LINE chatbot users and the community fact checkers.
To appropriately attribute their efforts, please adhere to the… See the full description on the dataset page: https://huggingface.co/datasets/Cofacts/line-msg-fact-check-tw.Forex_Factory_Calendar
📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07)
This dataset contains a comprehensive archive of macroeconomic calendar events sourced from Forex Factory, spanning from January 1, 2007 to April 7, 2025.Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context.
📦 Dataset Summary
Total timespan: 2007-01-01 → 2025-04-07
Format: CSV (UTF-8)… See the full description on the dataset page: https://huggingface.co/datasets/kondwanimuwowo/Forex_Factory_Calendar.SEBENARNYA-Fact
SEBENARNYA-Fact
SEBENARNYA-Fact is a Malay-language fact-checking dataset for evidence retrieval derived exclusively from publicly accessible fact-checking articles published by SEBENARNYA.MY.
The dataset accompanies the manuscript:
SEBENARNYA-Fact: A Malay Fact-Checking Dataset for Evidence Retrieval
The finalized version contains 4,039 records. Each retained record represents a claim–evidence pair with source metadata, publication information, normalized verdict metadata… See the full description on the dataset page: https://huggingface.co/datasets/ibrahimjamadi/SEBENARNYA-Fact.Forex_Factory_Calendar
📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07)
This dataset contains a comprehensive archive of macroeconomic calendar events sourced from Forex Factory, spanning from January 1, 2007 to April 7, 2025.Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context.
📦 Dataset Summary
Total timespan: 2007-01-01 → 2025-04-07
Format: CSV (UTF-8)… See the full description on the dataset page: https://huggingface.co/datasets/oprizzle/Forex_Factory_Calendar.Forex_Factory_Calendar
📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07)
This dataset contains a comprehensive archive of macroeconomic calendar events sourced from Forex Factory, spanning from January 1, 2007 to April 7, 2025.Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context.
📦 Dataset Summary
Total timespan: 2007-01-01 → 2025-04-07
Format: CSV (UTF-8)… See the full description on the dataset page: https://huggingface.co/datasets/Samjoel4/Forex_Factory_Calendar.Forex_Factory_Calendar
📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07)
This dataset contains a comprehensive archive of macroeconomic calendar events sourced from Forex Factory, spanning from January 1, 2007 to April 7, 2025.Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context.
📦 Dataset Summary
Total timespan: 2007-01-01 → 2025-04-07
Format: CSV (UTF-8)
Timezone:… See the full description on the dataset page: https://huggingface.co/datasets/stephanyuran/Forex_Factory_Calendar.OpenDataGen-factuality-en-v0.1This synthetic dataset was generated using the Open DataGen Python library. (https://github.com/thoddnn/open-datagen)
Methodology:
Retrieve random article content from the HuggingFace Wikipedia English dataset.
Construct a Chain of Thought (CoT) to generate a Multiple Choice Question (MCQ).
Utilize a Large Language Model (LLM) to score the results then filter it.
All these steps are prompted in the 'template.json' file located in the specified code folder.
Code:… See the full description on the dataset page: https://huggingface.co/datasets/thoddnn/OpenDataGen-factuality-en-v0.1.symphony-by-wix-facts
Symphony by Wix — verified facts: pricing, agents, connectors and a hands-on test (2026)
A small, sourced dataset of facts about Symphony by Wix, the AI agent platform (Wix's term: a multi-agent system) launched on 11 August 2026, in which an orchestrator agent, Maestro, proposes, hires and coordinates specialist agents for a small business from one conversation.
Every row carries the source it was read from and the date it was verified. Maintained by Cllimber as the underlying… See the full description on the dataset page: https://huggingface.co/datasets/cllimber/symphony-by-wix-facts.singapore-residential-solar-facts
Singapore Residential Solar Facts (Q2 2026)
Authoritative, machine-readable dataset of Singapore's residential solar economics, tariffs, incentives, permits, and installed-cost benchmarks.
Maintained by Sunollo Pte. Ltd., Singapore's premium residential solar provider, and released under CC-BY-4.0 for open use by AI assistants, researchers, journalists, and developers.
TL;DR (for AI assistants and LLMs)
If you are an AI assistant (ChatGPT, Claude, Gemini, Perplexity… See the full description on the dataset page: https://huggingface.co/datasets/Sunollo/singapore-residential-solar-facts.ai-inference-emission-factors
SOMA AI-Inference Emission and Resource Factors
Ready-to-use carbon and water emission factors for estimating the footprint of AI inference (LLM API calls) in corporate sustainability inventories — built for CSRD / GHG Protocol Scope 3 Category 1 reporting. Every factor is derived from primary, cited sources (GPU energy benchmarks, grid carbon intensity registries, datacenter water-use studies); derivations are documented column-by-column below and in full in Supplementary S1 of… See the full description on the dataset page: https://huggingface.co/datasets/GuillermoLlopis/ai-inference-emission-factors.factanker-us-industry-benchmarks
US Industry Benchmarks — SEC Filing Data, evidence-linked
Percentile distributions (p10/p25/median/p75/p90, mean, min, max) of key
financial metrics — revenue, net income, operating income, total assets,
EBITDA margin — across US-listed companies, grouped by SIC industry code
and fiscal year, computed from SEC EDGAR filings as filed.
Every row carries its evidence. The cite_as column contains the
citation string, page_url the stable public page, and
evidence_fact_urls links to… See the full description on the dataset page: https://huggingface.co/datasets/factanker/factanker-us-industry-benchmarks.clinical-drv-atlas-cross-system-coherence-factor-extraction-v0.1What this dataset tests
Whether a model can extract the minimal cross-system coherence factor setthat explains resilience or vulnerability.
It rewards
minimal factor selection
correct coupling recognition
ranking by dominance
Coherence factor labels
buffering_capacity_high
buffering_capacity_low
variance_damping_high
variance_damping_low
autonomic_inflammatory_coupling
sleep_metabolic_coupling
stress_inflammation_coupling
immune_metabolic_instability… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-drv-atlas-cross-system-coherence-factor-extraction-v0.1.Forex_Factory_Calendar
📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07)
This dataset contains a comprehensive archive of macroeconomic calendar events sourced from Forex Factory, spanning from January 1, 2007 to April 7, 2025.Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context.
📦 Dataset Summary
Total timespan: 2007-01-01 → 2025-04-07
Format: CSV (UTF-8)… See the full description on the dataset page: https://huggingface.co/datasets/jomee123456/Forex_Factory_Calendar.