Dataset
sec-filings-snippets
DerivedFunction01's sec-filings-snippets is a public-records dataset of short text excerpts drawn from U.S. SEC filings, released on Hugging Face in Parquet format. It is sized for language-model fill-mask work and is not positioned as a commercial alternative-data product.
Data preview
Dataset card
What this dataset contains
The release bundles 767,726 rows of extracted snippets from SEC filings, stored as a single train split of between 100,000 and 1,000,000 records. Each row pairs a piece of filing prose with the underlying filing identifier, the issuer's Central Index Key, and the year of the source document. Coverage and update cadence are not documented in the provided material.
Structure and fields
Records are tabular and combine text and numeric fields, loadable with the datasets, pandas, and polars libraries. The schema consists of text, a large string holding the snippet; accession, a large string filing identifier; cik, an int64 issuer identifier; and year, an int64 timestamp. The format is Parquet and the licence is declared as apache-2.0, although the overall dataset licence is listed as unstated.
How analysts use it
Its primary labelled task is fill-mask, suggesting NLP model training on financial filing language rather than direct quantitative signal extraction. For investment analysts, plausible uses would be fine-tuning language models to recognise filing vocabulary, classify sections, or build retrieval tools over SEC text, subject to confirming licensing and refresh terms. No evidence in the source material supports its use as a directly tradable alternative-data feed.
Documentation & references 1
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SEC EDGAR 10-K & 10-Q financial statements for 2,600+ NASDAQ companies.
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