athenara:~$ registry open datasets/edgar-corpus

EDGAR-CORPUS

A corpus of 220,375 SEC 10-K annual reports from 1993 to 2020, split into their individual item sections and released as JSON.

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#sec-filings #10-k #edgar #corpus #pretraining

added 2026-08-15 · Apache-2.0 · external

source SEC EDGAR

size ~40.7 GB (176,289 train / 22,050 validation / 22,036 test in the full config)

coverage assets: All US publicly traded companies, 220,375 10-K filings, 1993–2020 · frequency: annual

access open

license Apache-2.0

EDGAR-CORPUS collects more than 25 years of annual reports parsed into the standard 10-K item sections (Items 1–15, including 1A risk factors, 7A market risk, 9A controls), so individual sections can be used in isolation — risk factors for risk analysis, MD&A for fundamental research. The data is unannotated raw text intended as a pretraining and retrieval corpus.

Companion releases: EDGAR-W2V (Word2Vec embeddings trained on the corpus, which outperform generic embeddings on financial tasks) and EDGAR-CRAWLER, an open-source tool for collecting and processing future filings. Published at the ECONLP 2021 workshop (arXiv:2109.14394).

trading [●●···] basic ai [●●···] basic programming [●●●··] moderate setup [●●···] basic

authors Lefteris Loukas, Manos Fergadiotis, Ion Androutsopoulos, Prodromos Malakasiotis

origin external

formats json

markets equities

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