AthenaraDatasets / 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.
- sec-filings
- 10-k
- edgar
- corpus
- pretraining
added 2026-08-15 · Apache-2.0 · external
Prerequisites
Details
| authors | Lefteris Loukas, Manos Fergadiotis, Ion Androutsopoulos, Prodromos Malakasiotis |
|---|---|
| origin | external |
| license | Apache-2.0 |
| access | open |
| source | SEC EDGAR |
| coverage | assets: All US publicly traded companies, 220,375 10-K filings, 1993–2020 · frequency: annual |
| size | ~40.7 GB (176,289 train / 22,050 validation / 22,036 test in the full config) |
| formats | json |
| markets | equities |
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).