Alternative data datasets
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A sample of US patent titles, abstracts and CPC classification labels built for multi-class patent classification, tens of thousands of text records in Parquet. Useful as training material for mapping innovation activity onto technology categories over time.
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A structured, multi-level categorization framework distinguishes between ETFs and ETNs through style-based groupings.
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Datamule, Teraflop AI, and Eventual jointly contributed a 590 gigabyte SEC EDGAR collection encompassing about 8 million filings and 43 billion tokens, assembled using the datamule-python library and the official datamule API.
About 1.5 million US patent claims split into training and test partitions in CSV, organized for claim-level classification and summarization work (Apache 2.0). A large, ready-split corpus for IP-claims modeling.
Dataset for Counterfeit Detection and Sales Pattern Analysis
⚡Energy Trends and Insights from Around the Globe⚡
Categorized Roles with Detailed Descriptions, Benefits, and requirements
ESG scores, emissions & greenwashing flags for 30 firms across 2010–2024
A static tabular extension of the Bose345/sp500_earnings_transcripts collection covering the same 2005 to 2025 calendar of S&P 500 earnings events, where each row represents a single company-quarter call identified by a stable episode_id and bundles the full transcript along with related SEC press materials and pre-event inputs suitable for supervised learning or reinforcement-style experimentation.
🌏⚡Explore 20-year Insights on Sustainable Energy⚡🌏
Estimated application store downloads and earnings broken down by detailed category classifications.
The TREC Clinical Trials collections released in 2021, 2022, and 2023 are available through the TREC homepage, with corresponding papers for each year. Artur Guimarães ([email protected]) serves as the dataset curator, while inquiries regarding the original authors can be directed separately. The dataset addresses the task of linking patient profiles with appropriate clinical trials, containing entries formatted as JSON objects with fields including query identifiers, disease labels, and accompanying clinical text.
An aggregation of 1.3 million U.S. patent records each accompanied by a human-written abstractive summary, sorted into nine Cooperative Patent Classification groupings spanning human necessities, chemistry, textiles, and related domains.
American points-of-interest records grouped into 14 sectors and 120 sub-industry classifications.
Comprehensive global data on agricultural products from 2012 to 2035, including production, consumption, trade (import/export), prices, harvested area and yield. Covers all major countries and regions. Data is available for all countries and major regions worldwide. Approx. 120 products are included based on HS code classification. This dataset enables data-driven decisions by providing actionable
Multi-level hierarchical classification of household expenditures covering the majority of annual household expenditures
This release contains information on the Industrial Production Index, which is an economic indicator of real output for facilities such as manufacturing, mining, electric, and gas utilities in the United States. The Industrial Production Index is calculated by 312 individual series based on 2007 North American Industrial Classification System (NAICS) codes.
Rekor Discovers Class, Count, and Speed application, along with Rekor Edge Series fixed and portable systems, utilize state of the art AI and edge processing to automate the safe and efficient capture of FHWA 13-bin vehicle classifications, vehicle counts, and speed. By analyzing live, high-resolution video of active traffic, Rekor Discovers Class, Count, and Speed application delivers per vehicle
A large-scale release produced jointly by Datamule, Teraflop AI, and Eventual covering roughly 590 GB of SEC EDGAR content. It comprises about eight million filings totaling 43 billion tokens, gathered using the datamule-python package and the official datamule API.
Imbalanced dataset for the classification problem of electricity theft detection
S&P 500 earnings-call transcripts in Parquet under MIT, tens of thousands of calls. Independently compiled and comparable to other public transcript corpora for sentiment and tone work.
A collection of earnings call transcripts covering S&P 500 firms and other U.S. large-cap companies across the years 2005 through 2025, intended for financial analysis, NLP modeling, and sentiment research.
A small text-classification dataset by ClarusC64 that labels whether borrow-rate, short-interest and price signals cohere into a real short squeeze or diverge into a false signal. It is published on a model hub with an MIT license tag and a 10-row train split.
A collection of restaurant reviews was assembled in 2019 through Python-based web scraping focused on Dutch establishments, capturing both visit experiences and feature-related information. It is organized in the DatasetDict format with three splits: 116,693 training records, 14,587 test records, and 14,587 validation records.
OnchainPlanBench Seed OnchainPlanBench Seed is an early CodePit dataset for evaluating whether small open-weight models can critique, repair, reject, or approve Web3 AI-agent action plans before wallet execution. This is not a production safety benchmark yet. It is a public seed release for the first CodePit official model track: CodePit PlanGuard. What It Tests Each row gives a model: user intent
Vector embeddings of clinical-trial records, hundreds of thousands of entries in Parquet (Apache 2.0). Enables similarity and retrieval analysis of trial design, indication crowding and competitive positioning.
DAPFAM patent documents, a curated sample of US patents in Parquet with text for retrieval and classification tasks (CC BY-NC-SA 4.0). Scopus of claim text for building patent-similarity and technology-mapping models.
800 images of children and adults
Nike, Adidas and Convers shoes dataset for classification
Use for Foundation Models, GNNs, and More
Daily scraped news from 95+ major Bangladeshi newspapers (English & Bangla)
Structured numeric records parsed from corporate filings such as 10-K, 10-Q, and 8-K submissions to the U.S. SEC. The figures are packaged inside a compressed DuckDB instance made available through the open-source Datapond registry for fast querying.
99.90% Accuracy · 12 Categories · 100+ File Extensions · Soft-Voting Ensemble
Indeed Job Postings (2026) is a 1,000-row sample of US Indeed listings joined to company firmographics, published by fact-den on Apify. License terms are not stated, and the publisher directs users to a commercial source actor for fresh or filtered data.
Mobile App Permission Analysis and Classification
S&P 500 earnings-call transcripts preprocessed into optimized Parquet, tens of thousands of calls (MIT). Ready for sentiment, QA and summarization research on the large-cap earnings season.
A multi-petabyte catalogue of analysis-ready geospatial datasets, Landsat, Sentinel, MODIS, DEMs, land-cover classifications, population grids and climate reanalysis, hosted for server-side computation, free for research and non-commercial use.
A sampled extraction of IPO-related tables from SEC filings between 1994 and 2026, delivering raw table HTML with provenance fields and targeting roughly 100 tables per year, with edge years possibly containing fewer valid extractions.
Text of IPO filings, including S-1 and related prospectuses, in JSON: hundreds of thousands of records in English (CC BY 4.0). Pre-IPO disclosure text is one of the few information sources available ahead of a listing.
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Earnings call transcripts for S&P 500 and other large U.S. companies covering 2005 through 2025, useful for financial research, natural language processing, and sentiment analysis.
Sentinel-2 chips of wastewater, drinking-water and desalination plants
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.
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.
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.
Illuminating Wheat: Nitrogen Deficiency & Leaf Rust in Images
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.
EarningsSignal: Earnings Call Tone & Guidance Classification Dataset
“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.
Vacancy announcements collected from firms and employment sites across forty-one nations, with classification available in eleven languages.
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.
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.
AI-scored ethics for 500 companies