Alternative data datasets
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Structured Form 144 filings used to track insider transactions and inform quantitative trading approaches.
Datamule, Teraflop AI, and Eventual jointly contributed a 590 gigabyte SEC EDGAR collection encompassing about 8 million filings and 43 billion tokens, assembled using the datamule-python library and the official datamule API.
Quarterly institutional filings from 2015 - 2017
SEC insider transactions 2006-2026 with stock & insider metadata
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A large-scale release produced jointly by Datamule, Teraflop AI, and Eventual covering roughly 590 GB of SEC EDGAR content. It comprises about eight million filings totaling 43 billion tokens, gathered using the datamule-python package and the official datamule API.
A leak-free, chronologically ordered corpus of 8-K, 10-Q, and 10-K filings for roughly 610 present-day U.S. large-cap companies, each paired with objective forward-return labels through 2026. The release is structured as a benchmark for testing whether filing language can anticipate subsequent stock performance, with clearly separated provenance classes.
BigQuery dataset of all SEC filings
Disclosure documents submitted by institutional investment firms that manage portfolios exceeding $100 million under Section 13(f).
Ticketing information aggregated from a digital marketplace for live music, athletic, and theatrical performances.
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sec-edgar-rpt is a Hugging Face dataset published by codewithdark that aggregates SEC EDGAR filings, packaged as a single text column with a train split of roughly 3.9 million rows. It is distributed under an unstated license and is catalogued for text and machine-learning workflows.
Latest insider buys and sells filed on SEC Form 4, parsed into one clean table
Quarterly, annual and TTM financials with XBRL provenance and amendment signals
SEC Filings Structured Signals A structured dataset derived from real SEC EDGAR filings, containing information extracted from corporate disclosures submitted to the U.S. Securities and Exchange Commission. The dataset transforms filing text into structured signals covering financial risks, hedging strategies, litigation, supply-chain dependencies, causal relationships, entity relations, and manag
Structured signals extracted from real SEC 10-K and 8-K filings
A systematic crawl of business websites classified by sector and geography, giving store counts, opening hours, technology stacks and contact details per market.
All 8-k filings for 2024 with augmented fields.
Includes all company names and cik keys from the SEC database.
An extensive collection of financial filings sourced from the U.S. Securities and Exchange Commission, intended for analytical and academic use.
An extensive archive of SEC EDGAR submissions from company filings, organized by CIK, document type, and date, and accessible through a live REST API at api.ai-analytics.org.
Structured numeric records parsed from corporate filings such as 10-K, 10-Q, and 8-K submissions to the U.S. SEC. The figures are packaged inside a compressed DuckDB instance made available through the open-source Datapond registry for fast querying.
US Earnings Release Dates from SEC 8-K Filings (2004 onward) Every earnings release filed on SEC Form 8-K Item 2.02 since 2004 (229,038 releases): filing time in New York time and whether it came before the open, during the session or after the close. Useful for event studies. import pandas as pd df = pd.read_parquet("hf://datasets/FinzData/sec-earnings-release-dates/data/earnings_dates.parquet")
Trading prices and liquidity metrics for shares of privately held companies in their later growth stages.
Data Analytics and Data Visualisation for beginners
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SEC Form S-1 IPO Filing Dataset | Free 50-Row Preview Curated by IT Altitudes Inc. Get the Complete 5,000-Record Dataset Full Excel & CSV Buyer Kit — $159 USD Purchase the Full Dataset on Gumroad About This Dataset Explore a curated reference dataset of 5,000 U.S. SEC Form S-1 registration filings covering 2010–October 2026. This repository provides a free 50-row preview to help researchers evalua
Structured line items from SEC 10-K and 10-Q filings between 2009 and 2023, plus company facts, fundamentals extracted straight from EDGAR.
Historical Data from SEC Company Filings
A joint release by Datamule, Teraflop AI, and Eventual provides the SEC-EDGAR dataset, comprising 590 GB of content drawn from all major filings in the SEC EDGAR database and totaling roughly 8 million samples and 43 billion tokens. The data was assembled using the datamule-python library and the official datamule API developed by John Friedman, with datamule serving as a Python package for collecting and manipulating such records.
sec-earnings-bench sec-earnings-bench measures how accurately language models extract GAAP figures from US earnings press releases: revenue, net income and diluted EPS, for the quarter and the fiscal year to date (the full year in a fourth-quarter release). Each release is the press-release exhibit of an 8-K filed on SEC EDGAR, and each figure is graded automatically against XBRL in the company's
US annual reports citing AI, ML, generative AI, LLMs and AI agents
Datamule partnered with Teraflop AI and Eventual to publish the SEC-EDGAR dataset, which covers all major filings from the SEC EDGAR database and amounts to 590 GB across about 8 million samples and 43 billion tokens. Collection relied on the datamule-python library and John Friedman's official datamule API, tools designed in Python for gathering and handling SEC filing data.
Metadata for every EDGAR filing submitted to the U.S. Securities and Exchange Commission from 1994 through December 14, 2024, derived from the quarterly master index files and including CIKs, issuer names, and form types.
sec_filings is a small text dataset of 494 rows that pairs natural-language queries about U.S. securities filings with retrieved document facts and ground-truth answers. It is distributed under an unstated license on a public dataset hub.
Insider buys, sells and awards parsed from SEC Form 4 filings
SEC Filing Search Queries Realistic search queries over SEC 10-K, 10-Q and 8-K filings, each with the one filing (and passage) that answers it. Built to measure filing search the way it is used: terse keyword searches, analyst questions with fiscal or relative periods, and follow-ups that leave the company implicit. Each query is a rewrite of a question from nvidia/Nemotron-SFT-Finance-Document-Gr
AlphaAI's near-real-time parse of SEC EDGAR Form 4 filings, providing 20,832 individual insider transaction tranches and 8,538 grouped economic events for US public-company officers, directors, and 10% owners.
Parsed SEC EDGAR Form 4 insider trades, as tranches and scored events
S&P 500 10-K topic tone profiles, FY2019–FY2026 Data version 0.4.0 (exported 2026-10-18; changes since 0.1.0 under Versioning). provenance.json records the version, the code commit, the model, hashes of the prompt and output schema, and the row count of every table. Tone scores for passages of S&P 500 10-K filings on five dimensions, toward 13 topics, by Claude Haiku 5.5 (claude-haiku-5-5). The re
EDGAR filings of companies
Complete filing metadata and URLs for all 8-K material event disclosures in Q4
Complete filing metadata and URLs for 82,000+ annual report filings (July-Dec)
Complete filing metadata and URLs for all insider transaction filings
High-Conviction Insider Trading & Institutional Holding Signals
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Index of filings submitted to the Securities & Exchange Commission since 1993
Catalog of SEC filings dating back to 1993, providing a navigational guide to the EDGAR archive.
SEC Insider Trading Filings - Forms 3, 4 & 5 Every SEC insider-trading filing submitted between 1 April and 30 June 2026, parsed from EDGAR's raw XML into three flat, joinable tables. 56,102 filings · 78,328 transactions Why this exists Insider filings are the most direct disclosure there is of what the people running a company are doing with their own money, and every one of them is free to downl
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Complete textual SEC 10-K annual filings from 2021, suited for studying corporate disclosures and natural language processing tasks.
Extracted 10k fillings from SEC Edgar for the fiscal year 2021
Search filings on SEC EDGAR using ticker symbols, CIK identifiers, SIC industry codes, or free-text queries, returning a single structured row per filing that includes company classification, period dates, direct links to source documents, and optional XBRL financial data. The dataset contains 2,691 rows across 27 fields, supported by 64 collector runs, with the latest observation dated 2026-08-04, and covers 771 entities, browsable at https://reapx.dev/data/sec-edgar-scraper/.
Public access to SEC filings and related submissions/XBRL data APIs. Filing forms differ in scope, structure and reporting delay; amendments and publication timestamps matter for historical research.
A suite of core financial analytics covering every SEC EDGAR filing type, including 10-K, 10-Q, and 8-K submissions.
Aggregated daily short selling volume information from TRF and ADF for transactions in exchange-traded securities.
Clean, normalized daily prices with insider trading filings
sec-filings is a Hugging Face dataset published by Sicheng-Chroma that distributes pre-chunked U.S. SEC filings paired with dense vector embeddings. It is distributed in optimized Parquet format and is intended for retrieval and similarity research over regulatory disclosures.
56,102 SEC insider filings parsed from EDGAR XML into three joinable CSV tables