Alternative data datasets
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Online and In-Person Building Permit Submissions in Fiscal Years
Las Vegas Building Permit Issuance Details
SEC EDGAR filings (processed) 🌐 The Fin AI Pretraining / reference corpus released by The Fin AI. Source: U.S. SEC EDGAR filings — https://www.sec.gov/search-filings. Note: Some parquet files in this repository are empty (0 bytes). Source Text extracted from public filings on the SEC EDGAR system. Structure Rows: 2,839,488 Columns: text Quick Start from datasets import load_dataset ds = load_datas
PatentPulse PatentPulse is a provenance-preserving corpus of USPTO grants and published patent applications extracted from official weekly XML bulk releases. This immutable Parquet snapshot normalizes the project's historical append-only JSONL into one schema. Historical partial snapshot. This release was captured on 2026-08-28 while the upstream backfill was still in progress. It is a stable, cit
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A relational database mapping consumer attributes and connections across various touchpoints.
Qwen3-4B Patent Embeddings (专利特征向量数据集) 📌 简介 (Introduction) 本数据集包含了海量专利文本的特征向量（Embeddings）。所有特征向量均使用强大的 Qwen3-embedding-4B 模型提取。 数据领域: 专利 (Patents) 特征提取模型: Qwen3-embedding-4B 数据格式: .mmap (Memory-mapped file, numpy-compatible) + .tsv 数据精度: float16 📂 数据结构 (Data Structure) 由于数据量庞大，在生成时使用了 4 张 GPU 进行分布式计算，因此数据被划分为 4 个分片（Shards）：shard_0 到 shard_3。 每个 Shard 目录下包含以下核心文件： embeddings.float16.mmap: 核心的特征向量矩阵
8 size-normalized financial ratios for ~440 US companies from SEC EDGAR 10-Ks
Raw 10-K financials for 442 US companies extracted from SEC EDGAR
Provides highly reliable and thorough records of names, addresses, telephone numbers, and email addresses.
A collection of Parquet files providing one record per Chinese invention patent family granted between 2003 and 2019, capturing a cumulative quality assessment pipeline that includes metrics such as semantic knowledge recombination, strict historical semantic novelty, and IPC-based robustness measures across global patent publications.
Governance, beneficial-ownership and related-party transaction intelligence (Tussell) used for institutional investment research.
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US-GAAP Financial Data: SEC Filings of Listed US Companies Since January 2009
Normalized financial statements drawn from the SEC Financial Statement Data Sets and company-facts services, both built on the EDGAR APIs and spanning reported results across filers.
A knowledge graph assembled from 575,778 ClinicalTrials.gov registrations and their associated arms, outcomes, sites, sponsors, conditions, interventions, MeSH codes, and PubMed citations, containing 7,628,735 nodes and 15,531,427 edges, delivered as 623 MB of Parquet files (compared to about 7 GB of raw JSON) and built using Samyama Graph.
Educational outcome records from the U.S. Department of Education College Scorecard, including graduate salary figures.
Complete IPEDS database records spanning 2004 through the present day.
Current and former military job titles across all branches of service, kept up to date.
Mapping that links military job classifications to their civilian equivalents in the O*NET system.
Labor market role and occupation reference information published by the U.S. Department of Labor's O*NET program.
A historical, quarterly index of U.S. public company 10-K and 10-Q filings
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A snapshot of processed ClinicalTrials.gov records filtered to completed-recruitment Phase 3 and Phase 4 studies, plus trials of medical devices or behavioral interventions, totaling 156,887 trials as of March 2025, used for an agentic medical retrieval and evidence-grounding system.
A 10% sample of over 573,000 ClinicalTrials.gov studies augmented with AI-classified therapeutic areas, sponsor categorization, outcome groupings, and duration metrics, offered for portfolio and market landscape analysis.
A 10% sample of a sponsor profiling resource containing entries for over 10,200 clinical trial sponsors, covering trial counts, completion ratios, phase distribution, therapeutic areas, and pipeline activity.
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Diabetes & Obesity Clinical Trials Dataset: Outcomes, Adverse Events & PubMed Links (ClinicalTrials.gov) Release name: Diabetes & Obesity Clinical Trials ClinicalTrials.gov trials on diabetes (type 1, type 2, gestational, prediabetes, complications), obesity, metabolic syndrome, dyslipidemia, fatty liver disease and hypertension, with posted outcomes, adverse events, linked PubMed papers, evidence
This dataset includes completed or partially completed building permits.
10-K annual filings from EDGAR in Parquet, tens of thousands of documents. The standard annual-disclosure corpus for fundamentals, risk-factor and management-discussion analysis.
Enriched entity records and linking attributes that map corporations, individuals and locations together to power graph-style analysis.
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Real estate listings collected in the first 6 months in 2021
The 2024 Earnings Call Transcript dataset, published by yeong-hwan on Hugging Face, aggregates quarterly earnings call dialogue for individual stock tickers. It is distributed as a JSON table with 1,904 rows in a single train split.
Daily SEC XBRL fundamentals, Form 4 insider trades & AI 10-K value memos
Derived from USPTO and PatentsView bulk releases, this dataset catalogs 9.1 million U.S. patents from 1976 onward along with complete citation links, assignees, inventors, and CPC codes, with the full-graph edition exceeding 255 million rows.
S&P 500 Earnings Call Transcripts with Speaker Turns, Roles and SEC CIKs (2005–2025) English | 中文 33,362 earnings conference call transcripts of S&P 500 companies, October 2005 to May 2025. Each row is one call and contains the full transcript text plus three things the raw text does not give you: Speaker turns. The transcript is split into 2,779,325 turns. Each turn has the speaker's name and aff
Fifteen opt-in signals indicating ACA open enrollment intent, drawn from roughly 59.6 million U.S. consumers.
Eighteen opt-in signals reflecting aging- and retirement-related intent across 37.4 million U.S. consumers.
Twenty-three opt-in automotive purchase-intent indicators spanning roughly 24.2 million people in the United States.
Five opt-in automotive defect-intent indicators covering about 1.2 million U.S. individuals.
A compilation of six opt-in cancer-related intent indicators drawn from roughly 8.9 million individuals located in the United States.
Twenty-nine opt-in signals covering borrowing, lending, and credit-related consumer behavior across an estimated 44.8 million adults in the United States.
Twenty-five opt-in indicators reflecting general health interests drawn from roughly 16.5 million American individuals.
Seventeen opt-in Medicare-related intent signals drawn from a U.S. consumer base of approximately 33.6 million individuals.
Twenty opt-in signals related to metabolic health intent covering roughly 31.7 million U.S. consumers.
Thirty-three opt-in prescription intent indicators drawn from roughly 38 million American individuals.
Thirty-seven opt-in household purchase propensity indicators covering approximately 36.1 million individuals in the United States.
Provides twelve opt-in indicators related to tort actions and legal intent spanning around 11.7 million individuals in the United States.
Normalized stock-trade disclosures filed by U.S. House and Senate members under the STOCK Act, regenerated on a schedule by the repository's own pipeline rather than curated manually.
ZipLime US Insider Trading Disclosures (PIT) [!CAUTION] Use knowledge_date, not transaction_date, when backtesting. transaction_date says when a trade occurred; knowledge_date says when the filing became observable through EDGAR. Using the former as the signal date introduces look-ahead bias. visible = trades.filter(pl.col("knowledge_date") <= simulation_time) This dataset normalizes corporate-ins
US Short Interest This dataset publishes no short-interest data, and that is the finding, not a bug. Every US source of equity short positioning was audited on 13 September 2026 before any of it was collected. Two forbid the publication pattern and the third does not exist yet. What is published here is the audit itself — which clause, on which page, read on which day — plus the adapters that will