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Reorganize companies

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  1. companies/README.md +58 -0
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+ ---
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+ license: cc0-1.0
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+ task_categories:
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+ - tabular-classification
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+ - tabular-regression
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+ language:
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+ - en
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+ pretty_name: OpenCorporateFinance Companies Dataset
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+ tags:
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+ - finance
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+ - stocks
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+ - companies
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+ - securities
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+ - sec
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+ - equities
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+ - financial-data
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+ - parquet
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+ ---
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+
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+ # OpenCorporateFinance Companies Dataset
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+
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+ ## Dataset Summary
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+
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+ The **OpenCorporateFinance Companies Dataset** is a structured dataset containing metadata for publicly traded companies and their listed stock securities.
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+
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+ The dataset combines company information, security identifiers, and exchange metadata into a single analytics-ready table. It is designed for financial research, machine learning, company discovery, entity resolution, financial AI applications, and building financial knowledge graphs.
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+
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+ The dataset is provided in **Apache Parquet** format for efficient analytical processing.
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+
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+ ## Dataset Features
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+
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+ Each row represents a publicly traded stock security linked to a company.
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+
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+ | Column | Description |
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+ |---|---|
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+ | `cik` | SEC Central Index Key identifier |
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+ | `company_name` | Company legal name |
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+ | `ticker` | Stock ticker symbol |
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+ | `symbol_full` | Full security symbol |
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+ | `share_class` | Share class identifier |
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+ | `isin` | International Securities Identification Number |
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+ | `cusip` | Committee on Uniform Securities Identification Procedures identifier |
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+ | `exchange` | Stock exchange name |
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+ | `country_code` | Exchange country code |
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+ | `state` | Company state or region |
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+ | `city` | Company city |
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+ | `employees` | Number of full-time employees |
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+ | `website` | Company website |
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+ | `summary` | Company business description |
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+ | `ipo_date` | Initial public offering date |
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+ | `delisted` | Indicates whether the security has been delisted |
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+ | `delisted_date` | Date the security was delisted |
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+ | `industry_slug` | URL/ML-friendly industry classification |
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+ | `sector_slug` | URL/ML-friendly sector classification |
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+
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+ ## Data Format
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+
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+ The dataset is stored as Apache Parquet: