Alternative data datasets
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Commercial healthcare dataset profiling practitioners, care sites, organizational relationships and medical procedures.
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edgar_xbrl_companyfacts is a Hugging Face dataset published by DenyTranDFW that aggregates U.S. SEC EDGAR XBRL company-facts filings into a single Parquet file. The training split contains roughly 125 million rows of structured financial facts tagged by reporting period and unit.
Earnings Call Transcripts of META (formerly Facebook) 2018-2025
A publication covering the field of orthodontics and dentofacial orthopedics.
A curated, well-organized collection of documents formatted for straightforward ingestion into retrieval-augmented generation systems.
Content structured to serve as a retrieval-augmented knowledge foundation for a domain-specific research tool.
Source material for developing or refining language models aimed at answering questions about past public health issues, disease patterns, and the history of medicine.
A collection examining surgical practice during a period of technological and medical advancement.
Records documenting medical practices and treatments at the height of the Victorian period.
Materials on public health, sanitation, and disease patterns in Canada during the early 1900s.
A leading Canadian medical publication covering the years 1911 through 1930.
A prominent trade publication serving pharmacists across the United Kingdom.
A 1912 publication, Volume 1 Number 6, featuring financial journalism from the early twentieth century.
A collection of financial reporting from the early 1900s spanning 1902 through 1930.
Foundational editions of a historic American business publication from its earliest years.
A leading peer-reviewed publication focused on otolaryngology, covering ear, nose, and throat clinical practice.
Structured corpus optimized for retrieval-augmented generation and semantic similarity tasks, featuring duplicate removal, complete data fields, and substantial record counts.
Ready-to-use collection suited for retrieval-augmented question answering on historical medical topics.
Dataset focused on early-stage multiple sclerosis studies and clinical neurology.
A historical archive focused on medical and surgical practices from 1847 through 1898 during the Civil War era.
The inaugural issue of what is considered the earliest medical journal published in America, dated 1797.
A curated collection designed to function as a retrieval-augmented generation knowledge base and a resource for historical research.
Authorized UK Air Ministry publication containing meteorological, climatological, and oceanographic records.
Documentation covering the historical emergence of pharmacy as a recognized profession.
A reference collection designed to support retrieval-augmented generation and the study of historical language models.
Longest continuously published aeronautical periodical still in circulation.
Voice representing the Canadian nursing profession.
Premier Canadian business daily covering the period from 1907 through 1930.
Globally recognized peer-reviewed medical publication of the highest standing.
Historical record of American medical periodical publishing during the 1800s.
The oldest medical periodical still in circulation across the United States has been prepared for modern artificial intelligence use cases.
A nineteenth-century medical review publication that summarized each year's clinical literature for practicing physicians.
S&P 500 companies historical prices with fundamental data
800 images of children and adults
Nike, Adidas and Convers shoes dataset for classification
2021 - 2023 Reservation Data
Consolidated business profiles incorporating information technology expenditure, executive personnel changes, strategic indicators, and technology infrastructure.
Current and archived employment listings capturing job functions, required competencies, technology tools, pay ranges, and recruitment patterns.
Labor market analytics covering talent availability, employer needs, compensation, abilities, demographic composition, geographic movement, and recruitment patterns segmented by occupation and area.
Cross-sector professional profiles detailing job functions, abilities, educational background, demographic attributes, project involvement, and employment history.
Evaluation of recruitment demand segmented by occupation, competencies, compensation, technology usage, and workload distribution across organizations and geographies.
Information on occupational shifts, competency shortfalls, retraining routes, educational programs, and professional credentials for every job category.
Monitoring of competing organizations' recruitment activity, technology adoption, information technology budgets, senior leadership changes, and workforce patterns.
Worldwide higher-education statistics covering student enrollment counts, degree completions, demographic mix, fields of study, and competencies mapped to specific occupations.
Leadership and organizational records detailing positions held, capabilities, financial allocations, technology investment, strategic direction, digital infrastructure, and professional trajectories.
Labor-market metrics on talent availability, hiring needs, compensation, competencies, demographic representation, workforce mobility, and recruitment patterns segmented by occupation and location.
Enterprise technology inventories outlining the platforms deployed, how heavily each is used, the timeline of implementation, and the types of workloads they support.
Privacy-conscious first-party click and conversion signals used to build audiences, generate insights, and enable AI-driven activation.
On-demand global maritime intelligence and freight analytics.
Maritime trade data and shipping market analytics.
A large granted-patent text collection from the USPTO, tens of millions of records in Parquet (Apache 2.0). Broad coverage of claims and descriptions for IP-intensity and technology-trend measurement.
Satellite imagery paired with proprietary machine-learning models that label construction, infrastructure change and land use at scale.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so101_follower", "total_episodes": 50, "total_frames": 10333, "total_tasks": 1, "total_videos": 100, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:50" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":…
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so101_follower", "total_episodes": 709, "total_frames": 187905, "total_tasks": 1, "total_videos": 1418, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:709" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so101_follower", "total_episodes": 161, "total_frames": 42852, "total_tasks": 1, "total_videos": 322, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:161" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so101_follower", "total_episodes": 101, "total_frames": 26027, "total_tasks": 1, "total_videos": 202, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:101" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":