Alternative data datasets
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This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so100", "total_episodes": 50, "total_frames": 44746, "total_tasks": 1, "total_videos": 100, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:50" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":… See the f
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so100", "total_episodes": 20, "total_frames": 11940, "total_tasks": 1, "total_videos": 40, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:20" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":… See the fu
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.
Parquet and csv files associating CIK (Central Index Key) with filing entities
JSON data file for SEC conformed company name, CIK, ticker, exchange association
Text of SEC filings pulled from EDGAR spanning millions of records in English (Apache 2.0): 10-K, 10-Q, 8-K, annual reports and exhibits, tagged for text-generation and classification. A practical base corpus for earnings- and filings-driven signals, from risk factors and MD&A to management commentary.
SEC EDGAR filings (processed) 🌐 The Fin AI Pretraining / reference corpus released by The Fin AI. Source: U.S. SEC EDGAR filings — https://www.sec.gov/search-filings. Note: Some parquet files in this repository are empty (0 bytes). Source Text extracted from public filings on the SEC EDGAR system. Structure Rows: 2,839,488 Columns: text Quick Start from datasets import load_dataset ds = load_datas
8 size-normalized financial ratios for ~440 US companies from SEC EDGAR 10-Ks
Raw 10-K financials for 442 US companies extracted from SEC EDGAR
A historical, quarterly index of U.S. public company 10-K and 10-Q filings
SEC EDGAR 10-K & 10-Q financial statements for 2,600+ NASDAQ companies.
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.
SEC EDGAR filings covering asset-backed securities and equity offerings.
A dataset drawn from 10-D filings posted on the SEC EDGAR system.
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
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.
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
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 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
FinSight gathers plain-text 10-K and 10-Q SEC filings for twenty major US public firms spanning six sectors, yielding 97 records intended for BERT fine-tuning, retrieval-augmented generation, and multi-agent financial research.
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
A suite of core financial analytics covering every SEC EDGAR filing type, including 10-K, 10-Q, and 8-K submissions.
Keyword frequencies, LDA topics & store counts from SEC EDGAR (FY1996-2025)
56,102 SEC insider filings parsed from EDGAR XML into three joinable CSV tables
Normalized financial statements drawn from the SEC Financial Statement Data Sets and company-facts services, both built on the EDGAR APIs and spanning reported results across filers.
Cleaned, quality-flagged insider transactions and buying clusters, Jan 2024
10-K annual filings from EDGAR in Parquet, tens of thousands of documents. The standard annual-disclosure corpus for fundamentals, risk-factor and management-discussion analysis.
S&P 500 Earnings Call Transcripts with Speaker Turns, Roles and SEC CIKs (2005–2025) English | 中文 33,362 earnings conference call transcripts of S&P 500 companies, October 2005 to May 2025. Each row is one call and contains the full transcript text plus three things the raw text does not give you: Speaker turns. The transcript is split into 2,779,325 turns. Each turn has the speaker's name and aff
ZipLime US Insider Trading Disclosures (PIT) [!CAUTION] Use knowledge_date, not transaction_date, when backtesting. transaction_date says when a trade occurred; knowledge_date says when the filing became observable through EDGAR. Using the former as the signal date introduces look-ahead bias. visible = trades.filter(pl.col("knowledge_date") <= simulation_time) This dataset normalizes corporate-ins