| --- |
| language: |
| - en |
| license: cc-by-4.0 |
| task_categories: |
| - tabular-classification |
| - tabular-regression |
| - text-classification |
| tags: |
| - finance |
| - sec |
| - stocks |
| - insider-trading |
| - machine-learning |
| - parquet |
| - tabular |
| pretty_name: Open SEC Financial Datasets |
| size_categories: |
| - 1M<n<10M |
| configs: |
| - config_name: companies |
| data_files: |
| - split: train |
| path: companies/*.parquet |
| - config_name: insider_transactions |
| data_files: |
| - split: train |
| path: insider_transactions/*.parquet |
| --- |
| |
| # Open SEC Financial Datasets |
|
|
| A collection of high-quality financial datasets derived from publicly available regulatory filings and reference data. |
|
|
| The goal of this repository is to make structured financial data easily accessible for researchers, students, developers, and quantitative investors by providing analytics-ready datasets in Apache Parquet format. |
|
|
| ## Available Datasets |
|
|
| | Dataset | Description | Coverage | Status | |
| | ---------------------- | --------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- | ----------- | |
| | `companies` | Public company reference data including identifiers, exchange information, sector, industry, and company metadata. | Current | ✅ Available | |
| | `insider_transactions` | Insider trading transactions reported to the U.S. SEC, enriched with insider metadata, company information, and normalized transaction types. | **2006-01-03 – 2026-06-30** | ✅ Available | |
|
|
| Additional datasets will be published over time. |
|
|
| ## Repository Structure |
|
|
| ```text |
| . |
| ├── README.md |
| ├── LICENSE |
| ├── companies/ |
| │ ├── README.md |
| │ └── *.parquet |
| ├── insider_transactions/ |
| │ ├── README.md |
| │ └── *.parquet |
| └── ... |
| ``` |
|
|
| Each dataset directory contains: |
|
|
| * One or more Apache Parquet files |
| * Dataset-specific documentation (`README.md`) |
| * Schema and usage information |
|
|
| ## File Format |
|
|
| All datasets are distributed as **Apache Parquet** files with **Snappy compression**. |
|
|
| Advantages include: |
|
|
| * Efficient columnar storage |
| * Smaller file sizes |
| * Fast analytical queries |
| * Native support in Spark, DuckDB, Pandas, Polars, Apache Arrow, and many other tools |
|
|
| ## Loading the Data |
|
|
| ### Python (Pandas) |
|
|
| ```python |
| import pandas as pd |
| |
| df = pd.read_parquet( |
| "hf://datasets/<username>/financial-datasets/companies/*.parquet" |
| ) |
| ``` |
|
|
| ### Polars |
|
|
| ```python |
| import polars as pl |
| |
| df = pl.read_parquet( |
| "hf://datasets/<username>/financial-datasets/companies/*.parquet" |
| ) |
| ``` |
|
|
| ### DuckDB |
|
|
| ```sql |
| SELECT * |
| FROM read_parquet( |
| 'hf://datasets/<username>/financial-datasets/companies/*.parquet' |
| ); |
| ``` |
|
|
| ## Data Sources |
|
|
| The datasets are built from publicly available information, including: |
|
|
| * SEC EDGAR filings |
| * Public company disclosures |
| * Public reference data |
|
|
| Each dataset README provides additional details about its specific sources and normalization process. |
|
|
| ## Intended Use |
|
|
| These datasets are intended for: |
|
|
| * Financial research |
| * Quantitative investing |
| * Machine learning |
| * Academic research |
| * Data science |
| * Market analytics |
| * Educational projects |
|
|
| ## Design Principles |
|
|
| The datasets are curated with the following goals: |
|
|
| * Human-readable values instead of internal identifiers |
| * Consistent naming across datasets |
| * Standardized date formats |
| * Normalized categorical values |
| * Analytics-friendly schema |
| * Apache Parquet for efficient processing |
|
|
| ## Versioning |
|
|
| Datasets may be updated periodically as additional historical data becomes available or new datasets are added to the repository. |
|
|
| Individual dataset directories document their own coverage periods and schema. |
|
|
| ## License |
|
|
| See the accompanying `LICENSE` file for licensing information. |
|
|
| ## Disclaimer |
|
|
| These datasets are derived from publicly available information. While reasonable efforts have been made to validate and normalize the data, it is provided **as-is** without warranty of any kind. |
|
|
| The data is intended for research, educational, and analytical purposes and should not be considered investment advice. |
|
|
| ## Acknowledgements |
|
|
| This project would not be possible without the public disclosures made available by the U.S. Securities and Exchange Commission (SEC) and other organizations committed to financial transparency. |
|
|
