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---
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license: cc-by-4.0
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---
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license: cc-by-4.0
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task_categories:
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- text-classification
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- sentence-similarity
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- document-question-answering
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size_categories:
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- 100K<n<1M
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language:
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- en
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tags:
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- finance
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- nlp
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- text
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pretty_name: SEC IPO Filings Datase
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---
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# SEC IPO Filings Dataset
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A large-scale, comprehensive dataset of **100,000+ filings** (S-1 and F-1 filings) filed with the [SEC EDGAR](https://www.sec.gov/edgar) system, spanning **1994–2026** and over **20,000** unique registrants.
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Every filing has been downloaded and then parsed using the [IPO-Mine Python Package](https://pypi.org/project/ipo-mine/). 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.
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## Software Pipeline
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<p align="center">
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<img src="assets/software-pipeline.png" alt="Dataset Construction Pipeline" width="600">
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</p>
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