Alternative data datasets
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Quality-controlled hourly weather measurements from every Dutch station from 1951 onward, refreshed each day.
A startup intelligence source centered on Europe, documenting transactions, valuations, and regional ecosystems.
Cardholder spending information from a non-traditional panel, broken down by geography and merchant category.
Bilingual open Q&A dataset on Swedish construction law, tax, permits, contracts
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A 220-million-row consumer file forms the foundation for ZIP-code-level analytics.
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Predictable behavioral and demographic insights drawn from more than 55 million mobile devices and over 20,000 applications.
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Commercial healthcare dataset profiling practitioners, care sites, organizational relationships and medical procedures.
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.
DerivedFunction01's sec-filings-snippets is a public-records dataset of short text excerpts drawn from U.S. SEC filings, released on Hugging Face in Parquet format. It is sized for language-model fill-mask work and is not positioned as a commercial alternative-data product.
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airline-disruption-data is a tabular dataset of U.S. domestic flight records published on the datasets hub, tagged as covering between 10 million and 100 million rows in Parquet format. The schema describes per-flight scheduling, delay, cancellation, and routing fields.
The airline-disruption-data-phase1b dataset is a tabular release hosted by publisher Dev123Hug456Face that compiles scheduled and actual flight-level operations data with delay, cancellation and diversion flags. It is distributed as a single Parquet split of roughly 12 million rows.
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 curated collection drawn from five leading dental journals, comprising 95,763 processed rows prepared for machine learning, with bias reviews and source lineage documentation.
Curated training corpus with an AI Readiness Score of 84 out of 100, positioned for regulated industry model development.
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.
Pre-1930 textual material on genetics and inheritance that has been cleaned and formatted for machine learning use.
A vetted pool of roughly seven hundred thousand articles drawn from six flagship periodicals, supplied as Regulation Ready AI training material with documented provenance and bias review.
A curated corpus optimized for retrieval-augmented generation systems and semantic similarity queries.
Organized text collection well suited for retrieval-augmented generation, longitudinal language modeling, and dialogue-based data exploration.
Curated and audited corpus drawing from two leading obstetrics and gynecology journals, formatted for artificial intelligence workflows.
Curated historical clinical text that has been cleaned and checked for bias to support better model reasoning and factual grounding.
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.
Refined surgical records with documented bias review, released under public domain terms and available through a 30-day evaluation access.