Dataset
ipo-tables
A sampled extraction of IPO-related tables from SEC filings between 1994 and 2026, delivering raw table HTML with provenance fields and targeting roughly 100 tables per year, with edge years possibly containing fewer valid extractions.
Data preview
Dataset card
IPO Tables (HTML) is a curated extraction dataset published by GTFinTechLab containing raw HTML tables and provenance metadata drawn from SEC IPO filings. It is released as a random sample targeting roughly 100 extracted tables per year across filings from 1994 to 2026.
What this dataset contains
The dataset aggregates table-level extractions from SEC filings, with the source documents tagged for IPO, S-1, and general SEC contexts. It is positioned as a sample card pointing to a larger collection, and the Hugging Face listing records a size band between 1,000 and 10,000 entries. The distribution skews toward English-language text-classification and document-structure tasks.
Structure and fields
Each record centers on a raw HTML table extracted from a filing, paired with provenance metadata that ties it back to the originating SEC document. The repository tags indicate the presence of HTML content alongside filing identifiers such as S-1 forms, though a formal column-level schema is not declared on the listing. Specific column names are therefore not documented in the provided metadata.
How analysts use it
Analysts building natural language processing pipelines for regulatory filings can use the corpus to train or benchmark HTML table extraction and classification models on SEC text. Given its IPO and S-1 focus, the data may also support workflows that mine prospectus disclosures for deal terms, though the sample-card nature of the release limits the depth of any historical study. Concrete investment-fund applications should be validated against the full linked dataset before being relied upon.
Documentation & references 1
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SEC EDGAR 10-K & 10-Q financial statements for 2,600+ NASDAQ companies.
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