Alternative data datasets
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Corporate information designed to assist with reporting requirements tied to climate risks and EU Taxonomy GAR, BTAR, and PAB standards.
Evaluations of national sustainability practices and controversy exposure covering the principal sovereign debt issuers around the world.
Records on corporate directors used to analyze board autonomy, expertise, demographic composition, committee roles, and meeting participation.
A consolidated, ready-to-use repository of 13F institutional holdings drawn from SEC EDGAR filings, capturing the most recent quarterly disclosures of more than 13,000 investment managers including hedge funds, mutual fund complexes, pension funds, banks, and family offices, with each record summarizing total assets under management and individual positions.
Structured line items from SEC 10-K and 10-Q filings between 2009 and 2023, plus company facts, fundamentals extracted straight from EDGAR.
A dataset card entry for restaurant reviews that flags the need for additional information beyond what is currently provided.
A joint release by Datamule, Teraflop AI, and Eventual provides the SEC-EDGAR dataset, comprising 590 GB of content drawn from all major filings in the SEC EDGAR database and totaling roughly 8 million samples and 43 billion tokens. The data was assembled using the datamule-python library and the official datamule API developed by John Friedman, with datamule serving as a Python package for collecting and manipulating such records.
Aviation analytics dataset tracing private jet itineraries back to publicly traded corporations, offering visibility into executive travel for event-driven investment analysis.
🇮🇳 Indian Stock Market Data: Minute & Daily (2000 - 2026) 📌 Overview This is a high-performance financial dataset containing the historical price history of 2,500+ NSE Stocks and Indices. The dataset has been sharded and optimized for high-speed training. Instead of thousands of tiny files, it is grouped into large ~1.5GB Parquet shards, making it ideal for fast streaming with the Hugging Face dat
Indonesian Energy News with Multidimensional Scoring and Regulatory Tags
Earnings-call transcripts from an IBM research project, tens of thousands of records with finance tags, in CC0. A filings-adjacent corpus for call-tone and question-and-answer analysis.
10-K filings for S&P 500 companies retrieved from EDGAR, stored as Parquet with the filing text attached (MIT). A focused corpus for the large-cap annual disclosure cycle: risk factors, MD&A and segment detail for every S&P 500 name.
The mintic_linkedin-job-postings dataset aggregates LinkedIn job posting text into a single string column with roughly 124,000 rows. It is published on Hugging Face by user jmparejaz under an unstated license.
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 Preconfig
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Complete Product, Pricing & Seller Insights Extracted from Meesho
This dataset contains job postings scraped from LinkedIn
The Patent Legal IR GraphRAG release follows the Publicus retrieval format, providing dense corpus shards, BM25 documents with CID-keyed length and entry metadata, and BM25 postings arranged for inverted-index use.
A vector and layout configuration for patent and legal texts produced via PatentHubLayoutV2, derived from Title 37 of the Code of Federal Regulations annual edition 2024 and marked as U.S. government public domain.
Insights generated from text-based employee evaluations posted on OpenWork, a Japan-based careers platform.
Datamule partnered with Teraflop AI and Eventual to publish the SEC-EDGAR dataset, which covers all major filings from the SEC EDGAR database and amounts to 590 GB across about 8 million samples and 43 billion tokens. Collection relied on the datamule-python library and John Friedman's official datamule API, tools designed in Python for gathering and handling SEC filing data.
Metadata for every EDGAR filing submitted to the U.S. Securities and Exchange Commission from 1994 through December 14, 2024, derived from the quarterly master index files and including CIKs, issuer names, and form types.
Restaurant_Reviews.tsv is a small text corpus of customer restaurant reviews paired with a binary sentiment label. It is published on the Hugging Face Hub by user KarthikaRajagopal under an unstated license.
Extensive dataset features for personalized ecommerce recommendations using cont
Monthly measurements of internet service quality at the city level in China, covering latency, connection disruptions, and proximity to the performance frontier.
County-level internet performance statistics reported monthly, including latency, connection issues, and proximity to the connectivity frontier.
Corpus of 32 DV cheat sheets, 32 DV charts and 7 recommended DV books
patent_abstract_uspto is a text dataset of U.S. patent abstracts distributed under an MIT license and hosted on the Hugging Face Hub by publisher kaustav16. It contains roughly 9.36 million rows of patent identifiers paired with their corresponding abstract text.
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Expenditure intelligence on video games and digital entertainment assembled from consumer panels and distribution channel reporting.
sec_filings is a small text dataset of 494 rows that pairs natural-language queries about U.S. securities filings with retrieved document facts and ground-truth answers. It is distributed under an unstated license on a public dataset hub.
Divvy bicycle sharing service
**Subtitle:** Hotel Booking & Revenue Analysis Dataset, Insights into Bookings,
Earnings Call LLM Insights 📚 Read the Full Story: For a deep dive into the methodology, the wildest moments we found, and key takeaways, check out the blog post:KnowTrend.ai: Auto-Grading Ten Years of Earnings Calls for Prescience and Delusion This dataset contains LLM-generated analysis of ~70,000+ earnings call transcripts. The analysis was performed using Kimi k2-0905-preview, focusing on extra
Machine-readable extraction of financial and operating figures drawn from publicly filed corporate documents.
“An updated 2024 dataset for hotel booking demand and cancellation analysis” “A
Earnings-call transcripts for S&P 500 companies, tens of thousands of calls in English with timestamps, in Parquet (MIT). Direct input for call-tone and question-and-answer sentiment analysis across the large-cap earnings cycle.
The patents-publications-dataset is a large-scale tabular collection of patent publication records distributed in Parquet format. Hosted by publisher labofsahil on the Hugging Face Hub under an unstated license, it is sized in the 100M–1B row range.
by firm executives, directors and large shareholders
Segmentation of Florida's 1.96 million real estate investors according to portfolio size, trading activity, equity position, investment approach, and risk exposure.
Approximately 20.8 million US real estate investors can be profiled by state, portfolio size, equity held, and recent transaction activity.
A consolidated B2B dataset compiled from a wide array of external providers.
Brand- and ticker-level consumer mood indicators extracted from publicly available social media posts.
An API-based ClinicalTrials.gov scraper that retrieves over 585,000 study records including phase, sponsor, conditions, interventions, enrollment, eligibility, and sites, filterable by condition, sponsor, and status.
Extract product catalogs, pricing, and vendor data from any Shopify store! Ou...
A contact file covering approximately four million US nurses and nurse practitioners, featuring confirmed email addresses and phone numbers, updated four times a year.
Metadata for hundreds of thousands of clinical trials in English, French and Spanish, structured in Parquet with study-level fields such as phase, condition, sponsor and status (Apache 2.0). Trial starts and phase transitions lead clinical development, so this works as an early indicator of biotech pipeline activity.
Minimal information is provided on this clinical-trials-embedded dataset, with additional details needed.
Near-real-time consumer expenditure analytics sourced from several payment processor collaborations.
for data exploration & visualization, as an alternative to iris.
A corpus of around 1.3 million U.S. patent filings paired with human-authored abstractive summaries, organized into nine Cooperative Patent Classification categories ranging from human necessities to textiles and paper.
The clinical_trials dataset distributes ClinicalTrials.gov registry records in Parquet format for offline analysis. It contains a single training split of roughly 150,000 rows sourced from the public clinical-trial registry.
Tap into one of the most extensive automotive-listing repositories, including vehicle specifications, sales transactions, stock levels, and related attributes.
Aggregated and anonymized consumer expenditure data used to inform and shape digital advertising campaigns.
PatentDesc Dataset Based on data from vl2g licensed under MIT License. Copyright (c) 2024 vl2g.
patent-desc-test is a small text dataset on Hugging Face Datasets that contains short identifier-style strings derived from patent document numbers. The dataset is published by user matthias-ehrlich and is broadly tagged as public records–adjacent text data.
An analytical project examining the Paris Housing Dataset to uncover which property attributes most strongly affect asking prices. It involves cleaning, visualizing, and statistically modeling the records to answer targeted research questions.
Minute-by-minute Bitcoin price records drawn from multiple exchanges beginning in January 2012, providing detailed intraday market coverage.
An opt-in email receipt panel that turns online purchase confirmations into estimated merchant-level sales figures.
Comprehensive list of North American area codes and telephone prefixes spanning the United States and Canada.