Alternative data datasets
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Stocks Quarterly Earnings This dataset includes quarterly earnings report data for various stocks. 355,371 rows over 6,406 symbols, 8 columns, covering 1996-01-31 to 2026-07-31. Refreshed monthly. Strategies Built on This Data 490 papers in the Papers With Backtest catalogue declare this dataset as an input. 456 of them have been coded and run over their own full history. The median replicated Sha
Stocks Weekly Earnings Surprise Weekly earnings surprise probabilities and outcomes for publicly traded companies. 2,204,032 rows over 6,067 symbols, 8 columns, covering 2016-12-30 to 2026-07-03. Refreshed monthly. Why It Matters This dataset supplies high-frequency earnings-surprise context for equity strategies by: Pre-event positioning: Surprise probabilities guide sizing and hedging ahead of e
Market pricing for coal, iron ore, and iron ore options across the EMEA and APAC regions.
A full-spectrum credit information and analytical suite built to support risk oversight and investment decision-making.
Market-based environmental cost figures covering emissions allowances for the EMEA and North American regions, plus biofuel pricing data for North America.
Market prices for selected precious and battery metals across Europe, the Middle East, Africa, and Asia-Pacific regions.
Key natural gas and LNG price points are collected for delivery hubs located across the EMEA, APAC, and North American regions.
Worldwide oil pricing reference figures spanning crude oil, middle distillates, light ends, LPG, and fuel oil categories.
Clinical-trial protocol documents from Parexel, tens of thousands of studies. Protocol text, covering inclusion criteria, endpoints and timelines, is a leading indicator for enrollment pace and pipeline risk.
Valuations, countries, industries & investors for 1,200+ unicorn startups
We are merely a strand in the web.
Water water everywhere, but not a drop to drink!
Why does the wind blow and data about wind farms (2023).
Patent-linked intelligence that connects intellectual property activity to research strategy and competitive standing.
patent-drafting-bench 中文 | English patent-drafting-bench 是一个评估大模型及智能体专利撰写能力的数据集，包含 60 个测试任务。模型需要依据技术交底书，按指定法域和语言撰写权利要求书、说明书及必要附图，最终交付一份 Word（.docx）文档。 评测关注模型能否将交底中的技术方案转化为完整、合理且有依据的专利申请文本，包括权利要求的完整性、清楚性、保护范围和从属布局，说明书的支持与公开，以及是否编造技术内容。每个任务包含通用评分标准与案例特异评分标准，可用于逐项人工审阅或 LLM judge 评分。 目录结构 patent-drafting-bench/ ├── README.md ├── README.en.md ├── data/ │ └── test.jsonl └── asset/ ├── PD-0005_input.docx
专利无效检索评测数据集 面向专利无效证据检索系统的公开 Benchmark，以权利要求文本为检索输入， 以真实无效案件中使用的证据文献为标准答案。 简体中文 · English 下载公开数据集 数据集简介 本数据集用于评估 AI Agent、检索模型和传统专利检索系统发现无效证据文献的能力。 每条样本包含待分析的权利要求、案件最终结果、证据文献，以及证据角色和法律依据等 结构化标注。 公开版本包含 80 条 Benchmark 样本，CN 与 US 各 40 条，覆盖 IPC 的 A–H 八个部。它既可以衡量系统能否找到至少一篇有效证据，也可以衡量系统对核心文献和 全部证据文献的覆盖程度。 这份数据可以用来评估什么 能力 说明 无效证据检索 给定权利要求文本，系统能否从专利文献中找到真实案件使用的无效证据 核心与完整召回 分别评估主要证据 primary_reference 和全部证据文献
PatSnap Patent OAR Bench A benchmark dataset for patent Office Action Response (OAR) tasks. The test split contains 40 cases: 13 CN, 13 EP, and 14 US. It includes 40 Office Action PDF documents totaling 229 pages, structured case materials, expert facts where available, and 812 scoring criteria entries. Dataset: data/test.parquet, 40 cases in Parquet format. Office Action PDFs: assets/, named OAR-
A point-in-time capture of the full Transparency in Coverage file dated May 2026.
Payments-focused datasets and analysis tracking transaction volumes, processing networks and overall market composition.
Day-by-day fuel pricing broken down by product category across more than one hundred thousand filling stations throughout North America.
An extensive directory listing more than 100,000 retail fuel stations together with details on site amenities.
Complimentary preview release of the PEI Institutional Allocation Intelligence product.
Fifteen-day outlooks derived from 51 ECMWF ensemble forecasts and aligned to user-defined coordinates.
Hourly and daily forecast fields sourced from the ECMWF-HRES model and interpolated to user-specified points.
Global atmospheric variables from the high-resolution ERA5 reanalysis, mapped to custom locations for downstream analysis.
Monthly seasonal weather insights derived from ECMWF forecast model output.
Detailed weekly weather projections extending up to 46 days into the future, built on ECMWF's extended-range forecasting system.
Extensive wildfire hazard evaluation, close to real-time fire activity monitoring, and predictions of air quality conditions.
Weather and meteorological event measurements designed to inform and differentiate operational decisions.
Archive of daily historical weather measurements for New York.
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Patent_FR_US_Merge_Radix_65536 is a Hugging Face dataset by publisher PhysiQuanty that merges French and US patent documents into a single text corpus. It is distributed in Parquet format and is tagged with an Apache-2.0 license, though the README provides no further description.
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Private equity and venture capital dataset with information on deals, funds, and valuations across private-market transactions.
A recurring dataset tracking pedestrian visits and store rankings across leading premium retail brands operating in the United States.
Compliance-ready foot traffic and visit datasets for U.S. retail chains, venues, and points of interest beginning in 2017.
Complimentary 2019 preview offering high-level foot-traffic patterns across sectors and geographies over time.
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Ranking information for podcasts.
The ja_patent mirror of llm-jp-corpus-v4, assembled by the LLM-jp Corpus Building Working Group at NII, reproduces the Japanese patent sub-corpus from the larger LLM-jp Corpus v4 release. It is delivered as 621 jsonl.gz files totaling 58.2 GB in compressed form, with each line holding a JSON object that includes a text field and a meta field containing the document identifier, URL, and other provenance information.
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Demographic profiles covering more than 300 million individuals and households.
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Scraped from rumah123.com (20/03/2024 - 21/05/2024)
Residential Rental Listings in Major Indian Cities Why this fits
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Aggregated point-level records combining geographic coordinates with firm details and natural or man-made landmarks.
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