Datasetpublic

gtfintechlab/ipo-text

SEC IPO Filings Dataset A large-scale, comprehensive dataset of 100,000+ filings (S-1 and F-1 filings) filed with the SEC EDGAR system, spanning 1994–2026 and over 20,000 unique registrants. Every filing has been downloaded and then parsed using the IPO-Mine Python Package. We have extracted three common sections found in these documents (Prospectus Summary, Risk Factors, Legal Matters), and then used an LLM classifier to group them into three categories. For this dataset, we… See the full description on the dataset page: https://huggingface.co/datasets/gtfintechlab/ipo-text.

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Dataset Card

SEC IPO Filings Dataset

A large-scale, comprehensive dataset of 100,000+ filings (S-1 and F-1 filings) filed with the SEC EDGAR system, spanning 1994–2026 and over 20,000 unique registrants.

Every filing has been downloaded and then parsed using the IPO-Mine Python Package. We have extracted three common sections found in these documents (Prospectus Summary, Risk Factors, Legal Matters), and then used an LLM classifier to group them into three categories. For this dataset, we have only included the parsed sections labeled as "Safe to Use" as valid.

Software Pipeline

Citation

The dataset is a product of the following research. If you use this dataset in your work, please cite:

bibtex

@misc{galarnyk2026ipomine,
  title  = {IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents},
  author = {Galarnyk, Michael and Lohani, Siddharth and Nandi, Sagnik and Patel, Aman and Kannan, Vidhyakshaya and Banerjee, Prasun and Routu, Rutwik and Ye, Liqin and Hiray, Arnav and Somani, Siddhartha and Chava, Sudheer},
  year   = {2026},
  url    = {[https://huggingface.co/datasets/gtfintechlab/ipo-images](https://huggingface.co/datasets/gtfintechlab/ipo-images)},
  note   = {Preprint/Working Paper}
}