S&P 500 Edgar 10K Markdown: Corporate Reports and Stock Returns

6,258 training examples of S&P 500 company data, including 10-K report text and stock returns. The dataset, created by BEE-spoke-data, is derived from the jlohding/sp500-edgar-10k source and was last updated on December 29, 2025. It likely contains structured financial data and unstructured text from corporate filings.

Use Cases

• Predict stock returns based on the sentiment or content of 10-K report text.
• Analyze the relationship between company characteristics (like market capitalization) and report language.
• Train models for financial document summarization using the provided report sections.
• Conduct longitudinal studies of corporate communication for S&P 500 constituents.

Strengths

• Contains 6,258 training examples, providing a substantial sample for analysis.
• Integrates structured financial data (returns, market cap) with unstructured text from official reports.
• Sourced from a known public dataset (jlohding/sp500-edgar-10k), suggesting a defined origin.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• The temporal coverage of the data is not specified, limiting time-series analysis planning.

Provenance

Source

jlohding/sp500-edgar-10k dataset via the U.S. SEC's EDGAR system.

Collection Method

Likely scraped and processed from public corporate filings.

Freshness

Last updated 2025-12-29 04:38:34; freshness should be verified.

Geography

United States (S&P 500 companies).