Alternative data datasets
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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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Public-safe distribution bundle from a local r19 counterexample resolution review of arXiv patents using a language model, containing review-related outputs, manifests, checksums, and provenance receipts, but excluding the original arXiv PDFs and any expert validation.
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Refined surgical records with documented bias review, released under public domain terms and available through a 30-day evaluation access.
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Government-released health insurance records covering Part D, Medicare Advantage, and marketplace plans.
Dataset details:- This dataset is the 2nd iteration following bugs in 1st dataset. The initial data suffered with followoing cases:- (i) The failed reference_answers generation(due error totalling 23) primarly because of 2 reasons/exceptions:- (a) There was normal limit(300 in 1st request) and worst case limit(450 in 3rd request) number of tokens for consolidated 4 refernce_answers per chunk and i
Dataset details:- This dataset is basically mapping of final anchor-positive pair data with their refernce answer. The given input data considered because:- (i) it had the had purest anchor-positive pairs with semantically bound anchors with context/positive. (ii) gave us the best result on final embedding fine tuning model. The anchor-context(positive)-reference_answer data has been generated via
Fifteen opt-in signals indicating ACA open enrollment intent, drawn from roughly 59.6 million U.S. consumers.
Leverage a LLM to extract data from financial reporting from 10-k, 10-Q, news and events, etc
A registry and results database of more than 450,000 clinical trials worldwide, with protocols, sites, enrollment counts, outcomes and sponsor details, queryable through a free REST API and bulk downloads, the reference source for pharmaceutical pipeline tracking.
Worldwide higher-education statistics covering student enrollment counts, degree completions, demographic mix, fields of study, and competencies mapped to specific occupations.
Short data analytics project about the google trends interest of AI & LLM
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
An analysis-ready compilation of roughly 3,000 ClinicalTrials.gov studies registered between 2000 and 2025 that involve AI, machine learning, or digital-health tools, enriched with 30 LLM-derived variables covering use case, therapeutic area, sponsor composition, trial phase, deployment score, evidence strength, and responsible-AI keyword indicators.
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.
Dataset of 1500+ AI tools including LLMs, image, video, and coding AI
An English-language NLP corpus of cleaned earnings call transcripts gathered from public investor-relations pages, sized between 10,000 and 100,000 documents for financial analysis and LLM work.
Directory of more than 136,000 K-12 institutions across the United States, both public and private, including enrollment breakdowns and institutional attributes.
Records from the National Plan and Provider Enumeration System and the Provider Enrollment, Chain and Ownership System are combined in this dataset.
A four-installment intelligence briefing intended to serve as a primer on artificial intelligence strategy.
Multi-modal dataset: Bridging GAAP accounting and LLM-powered NLP for the S&P 50