Alternative data datasets
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Complete Product, Pricing & Seller Insights Extracted from Meesho
Modeling of physical climate threats to physical assets under projected future warming conditions.
Layout metadata produced by PatentHubLayoutV2 for a JusticeDAO repository holding patent and legal material. It references the CFR Title 37 annual edition for 2024 and carries the tag patent-legal-v2.0.0, with publication handled separately as an operator decision.
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.
Repository layout details generated by PatentHubLayoutV2 for JusticeDAO's patent and legal knowledge graph. The metadata references the CFR Title 37 2024 annual edition under a U.S. public-domain license and is tagged patent-legal-v2.0.0.
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.
Aggregated trade, order book and derivatives feeds from more than one hundred crypto venues for institutional users.
Insights generated from text-based employee evaluations posted on OpenWork, a Japan-based careers platform.
AI data centers with power, H100e, cost, chips and buildout timelines
predicting the consumption of electricity in the coming future
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.
Understand the economic state of the American Middle Class with this dataset
Extensive dataset features for personalized ecommerce recommendations using cont
Recommend people products based on what similar users purchased
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.
Self-collected grocery pricing across 4 retail channels in Bhubaneswar, Odisha
A satellite-based carbon intelligence platform that gauges industrial production and greenhouse gas output for more than 100 million facilities, supporting ESG analysis and macroeconomic supply surveillance.
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EarningsSignal: Earnings Call Tone & Guidance Classification Dataset
Expenditure intelligence on video games and digital entertainment assembled from consumer panels and distribution channel reporting.
Records of energy usage in France from 2011 through 2021, broken down by industry and geographic area.
Application that assesses whether patients meet the criteria to participate in a clinical trial.
Clinical Trial Automation Suite.
Divvy bicycle sharing service
**Subtitle:** Hotel Booking & Revenue Analysis Dataset, Insights into Bookings,
The Future of Patent Corpus Management One Document, Fully Decoded - Without Anyone Reading It The signal you cannot get from a search interface The highest-value competitor signal in a patent portfolio is not the invention. It is the amount of money and urgency a company committed to it. That signal is never in an abstract, and no search interface surfaces it. It comes out of this corpus for ever
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
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E-Commerce Product Dataset Sample (Pricing, SKUs, Metadata), by Kodira.Dev
De-identified patient-level analytics combining insurance claims, laboratory results and clinical encounters into connected care maps.
Historical daily prices, volumes, connected options' data of US bond ETFs.
Kpler energy intelligence: oil, gas and coal trade flows, vessel tracking and infrastructure for commodity trading.
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.
77 AI data centers, 12 GW of IT power, and the training runs they feed.
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A JSONL collection of detokenized EDGAR agreement records, where a single entry may contain multiple agreements and no source-level cleaning has been applied.
by firm executives, directors and large shareholders
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