Alternative data datasets
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The KL3M Index of EDGAR 10-K Filings is a tabular index published by the Alea Institute that catalogs SEC EDGAR filings with associated issuer metadata. It is distributed in Parquet format and is tagged for use with pandas, polars, and the mlcroissant dataset library.
The kl3m-index-edgar-filings-10-q dataset, published by the ALEA Institute, is a Parquet-formatted index of U.S. Securities and Exchange Commission Form 10-Q filings. It is distributed on the Hugging Face Hub with roughly 495,607 rows in a single 'train' split.
The kl3m-index-edgar-filings-8-k dataset is an indexed catalog of Form 8-K filings from the SEC's EDGAR system, published by the ALEA Institute. It provides structured metadata for over 1.8 million corporate event reports distributed in Parquet format.
Tariff Escalation, Trade Diversion & Sector Disruption Across 30+ Nations
A static tabular extension of the Bose345/sp500_earnings_transcripts collection covering the same 2005 to 2025 calendar of S&P 500 earnings events, where each row represents a single company-quarter call identified by a stable episode_id and bundles the full transcript along with related SEC press materials and pre-event inputs suitable for supervised learning or reinforcement-style experimentation.
Subscription research service delivering executive-level briefings, quantitative models and curated datasets authored by seasoned former leaders in technology, automotive and consumer sectors.
Comprises of Electricity consumption of each sector in Indian cities
An open, layout-preserving conversion of U.S. SEC EDGAR filings into MultiMarkdown format covers approximately 3.4 million documents submitted between January 2022 and June 2025, designed for long-context language modeling, financial reasoning, and document analysis.
EDGAR_FILINGS_DATASET_2016_2021 is a Hugging Face mirror of parsed SEC EDGAR filings spanning 2016 through 2021, distributed as a single train split of about 6 million rows in Parquet format. It is published by anonymous-md with an unstated license.
EDGAR_FILINGS_DATASET_2022_2026H1 is a Hugging Face dataset that compiles parsed SEC EDGAR filings into a single tabular corpus. It covers roughly 2022 through the first half of 2026 and is distributed as Parquet with about 1.7 million records.
American points-of-interest records grouped into 14 sectors and 120 sub-industry classifications.
Powered by Futurex hardware, VirtuCrypt provides FIPS 140-2 Level 3 and PCI HSM validated cloud hardware security modules for payment transaction acquiring.
Dcycle is a sustainability management platform that automates ESG data collection, analysis, and reporting to ensure compliance with global standards like CSRD. It centralizes data, offers real-time insights, and supports carbon footprint measurement, enabling businesses to meet regulatory requirements efficiently. Certified to ISO standards, Dcycle guarantees high data security and accuracy acros
DSLM Fazenda is a living economic intelligence platform focused on fiscal policy, macroeconomics, and financial management. It monitors macroeconomic indicators, analyzes tax and fiscal legislation, and supports interpretation of Central Bank, Federal Revenue Service, and other regulatory norms for organizations, sectors, and public managers.
Payline is a service that enables businesses to collect and process credit card information over the phone in a secure and PCI DSS compliant manner while maintaining voice communication with the customer.
PCI Vault is a SaaS solution by SnapBill, Inc. offering credit card Tokenization as a Service (TaaS) combined with it's own Entropy as a Service (EaaS) engine for lightning quick enterprise grade encryption and secure storage of payment card data..
Site Scan for ArcGIS is a cloud-based drone mapping software that revolutionizes drone imagery data collection, processing, and analysis. Maintain a complete picture of your drone inventory and flight history with automatic fleet management. Securely process imagery in a scalable cloud environment to create high-quality 2D and 3D imagery products that can be quickly shared throughout your organiza
This product has charges associated with it for support and maintenance. SpiderFoot is an open-source OSINT Open Source Intelligence automation tool used for reconnaissance, threat intelligence, and security investigations.
Tavily is the web infrastructure layer built for AI agents, delivering real-time search, scraping, and intelligent crawling securely and at scale.
Agentic financial research across licensed data from S&P Global, QUODD, FRED, and SEC. Runs multi-step search, reconciles conflicting sources, and cross-verifies findings to return accurate, cited answers with every figure traced to its primary source.
Auditable Apple financial statements, XBRL facts, SEC filings, and company metad
Public-sector finances, tax receipts, budget execution and fiscal indicators, across multiple jurisdictions.
A reconstructed EDGAR corpus of company filings in English (Apache 2.0): a large sample of annual and quarterly reports and exhibits, hundreds of thousands of records. Comparable to other public SEC text sets and a solid starting point for filings-based research.
Includes all company names and cik keys from the SEC database.
Machine-readable XBRL filings covering 10-K and 10-Q reports, cleaned and standardized so financial figures can be extracted reliably.
An orbiting synthetic aperture radar fleet providing fine-grained radar pictures with flexible acquisition scheduling for tracking built assets and ground activity.
Pricing and valuation insights drawn from secondary-market activity in pre-IPO, venture-backed firms.
Trusted Russian-language and English-language statistics on the country's economic sectors, industries, and commerce.
SEC EDGAR filings covering asset-backed securities and equity offerings.
A dataset drawn from 10-D filings posted on the SEC EDGAR system.
List of CMBS deals with publicly available Schedule AL data in SEC.gov EDGAR
An all-encompassing collection detailing every facet of Criminal IP's address intelligence products.
European Union datasets covering agricultural activity, food manufacturing, fisheries, forestry, and adjacent sectors.
Macroeconomic indicators from the EU, including GDP measurements, residential property prices, public sector accounts, monetary rates, balance of payments, purchasing power parities, and the harmonized consumer price index.
Dataset covering research and development, innovation, and artificial intelligence within high-technology industry sectors.
The searchable index behind US open data, listing roughly 300,000 federal, state and local datasets across agriculture, climate, finance, health and safety, each pointing to its source agency via metadata APIs.
Get a data sample: High-frequency electricity power data from 15,500+ UK households, with up to 12 months of readings captured every 10 seconds in watts. The dataset is expanding daily, offering real-time and historical insights into household energy behaviour.
Sustainability metrics spanning general and sector-specific ESG themes across three tiers, 334 subjects, and more than 700 explanatory measures.
Financial sector data and macroeconomic statistical releases standardized under reference 71.
edgar_xbrl_companyfacts is a Hugging Face dataset published by DenyTranDFW that aggregates U.S. SEC EDGAR XBRL company-facts filings into a single Parquet file. The training split contains roughly 125 million rows of structured financial facts tagged by reporting period and unit.
Cross-sector knowledge marketplace supplying curated expert calls and research support to corporate and investment decision-makers across more than twenty-five industries.
Records of SEC audit fee disclosures covering the period from 2004 through 2009.
Records of SEC audit fee disclosures spanning the years 2004 to 2024.
Records of SEC audit fee disclosures covering the period from 2010 to 2014.
Records of SEC audit fee disclosures covering the period from 2015 to 2019.
Records of SEC audit fee disclosures covering the period from 2020 to 2024.
Cross-sector professional profiles detailing job functions, abilities, educational background, demographic attributes, project involvement, and employment history.
Corporate-action reference date indicating when securities are distributed, supporting prompt and practical allocation information.
DartLab 데이터 종목코드 하나로 읽는 한국 DART + 미국 SEC EDGAR 공시 데이터 Structured Korean (DART) and US (SEC EDGAR) disclosure data, ready as Parquet. 무엇인가요? DartLab이 한국 DART 전자공시와 미국 SEC EDGAR 공시를 종목코드 하나로 비교 가능한 표로 가공해 Parquet으로 올려둔 데이터셋입니다. 한국 전 상장사(약 2,700사)와 미국 주요 상장사(약 1,000사)의 재무제표, 사업보고서 본문, 정형 공시, 주가, 거시지표가 들어 있습니다. 이 데이터셋은 DartLab의 데이터 층입니다. dartlab.Company("005930")을 호출하면 라이브러리가 필요한 parquet을 여기서 자동으로 내려받
Gaming-sector specialist providing analytics, datasets and modeling for online gambling, sports wagering and fantasy contests.
A corpus of SEC EDGAR filings in English (Apache 2.0), roughly a few hundred thousand company documents including annual and quarterly reports and exhibits. The filings text is organized for model pretraining and retrieval, but the same documents are the raw material for filings-based and disclosure signals.
Well-by-well oil and gas output figures widely used for energy fundamentals research.
End-of-day pricing information for securities traded worldwide.
Closing prices for U.S. Treasury securities published at the end of each trading day.
Earnings call transcripts, news articles, and sector or industry company information designed to support AI and large language model workflows.
Financial data parsed from 10-Q, 10-Q/A, 10-K, 10-K/A SEC filings from 2010.
FINRA Short Interest, last 12 months Shares sold short for every exchange-listed and OTC security, twice a month, for the last 12 months (502,924 rows): short shares, change from the prior report, average daily volume and days to cover. import pandas as pd df = pd.read_parquet("hf://datasets/FinzData/finra-short-interest/data/short_interest.parquet") df[df.ticker == "GME"] In the full FinzData dat
Mobile Advertising IDs are categorized according to behavioral signals and venue visits tied to the automotive sector.
The feed catalogs IP addresses flagged as fraudulent, including Tor exit nodes, VPN endpoints, and associated risk scores.
Hourly refreshed IP address intelligence designed to detect advertising fraud and invalid traffic.