Dataset
example-sec-filings
A compact sample set of SEC filings used for the MemGPT agent demos, tens of thousands of text records. A small, clean entry point to filings text rather than a comprehensive corpus.
Data preview
Dataset card
example-sec-filings is a text dataset published by MemGPT containing U.S. Securities and Exchange Commission filings, distributed via the Hugging Face Hub under an unspecified license. It comprises a single training split of 59,956 rows and is tagged for use with the datasets and mlcroissant libraries.
What this dataset contains
The dataset aggregates SEC filings into a plain-text corpus, intended as example material for machine learning workflows that ingest corporate disclosures. All content is stored in a single column named text, with the train split accounting for the full 59,956 rows. Because the license is not declared in the source metadata, downstream redistribution rights are unclear.
Structure and fields
Records are tabular with one column, text, typed as a string value. There are no additional columns, label fields, or metadata attributes surfaced in the schema, so each row is an undifferentiated string of filing text. Sample rows returned by the API are masked, and the published file size is not stated.
How analysts use it
Analysts experimenting with natural language processing on corporate filings can use the text column as raw input for language modeling, summarization, or information-extraction prototypes against the 59,956 available examples. Given the unspecified license and unstated update cadence, it is better suited to sandbox experimentation than to production investment signals. Practical buy-side use cases, such as factor extraction or event tagging, would require further licensing review and enrichment beyond the single text field provided.
Documentation & references 1
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SEC EDGAR 10-K & 10-Q financial statements for 2,600+ NASDAQ companies.
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