datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
finsight-sec-filings
FinSight — SEC EDGAR Filings
Cleaned plain-text 10-K (annual) and 10-Q (quarterly) filings from the
US SEC EDGAR system for 20 large publicly-traded companies across 6 sectors.
Created as part of the FinSight project —
a financial research AI assistant combining BERT fine-tuning, RAG, and
multi-agent systems.
Stats
Records: 97
Companies: 20 (AAPL, MSFT, GOOGL, AMZN, META, NVDA, TSLA, JPM, BAC, GS,
JNJ, PFE, UNH, WMT, PG, KO, MCD, XOM, CVX, CAT)
Forms: 10-K, 10-Q… See the full description on the dataset page: https://huggingface.co/datasets/musk1209/finsight-sec-filings.sp500-sec-edgar-filings
S&P 500 Corporate Filings (SEC EDGAR 10-K & 8-K Archive)
Overview
This dataset contains clean, structured public data exported directly from production runs of Apify actors.
It serves as a benchmark and sample for lead qualification, market intelligence, research, and machine learning pipelines.
Source Actor: captainhandsome/sec-edgar-filings-search
Dataset Page: Public sample and schema
Preconfigured Run Task: captainhandsome/apple-microsoft-10k-filings
Records… See the full description on the dataset page: https://huggingface.co/datasets/joeygambino/sp500-sec-edgar-filings.filings-10kfilings-rag-indexadaption-brazilian-regulatory-filings
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-brazilian_regulatory_filings
This dataset contains samples of Brazilian regulatory filings (Fatos Relevantes and Market Notices) from publicly traded companies, presented in both Portuguese and English. Each sample includes a classification task where the text is analyzed to determine the event type, status, scope relative to a target entity, and market signal sentiment. The content… See the full description on the dataset page: https://huggingface.co/datasets/Fernandosr85/adaption-brazilian-regulatory-filings.ai-sec-10k-filings-since-2020filing-sense-chunks
