Alternative data datasets
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A collection featuring the primary independent claim of United States utility patents issued between 2005 and 2025 is provided. Because the opening claim usually establishes the widest legal boundaries of an invention, it carries particular significance, and each entry includes the patent identifier alongside its claim text.
S&P 500 10-K topic tone profiles, FY2019–FY2026 Data version 0.4.0 (exported 2026-10-18; changes since 0.1.0 under Versioning). provenance.json records the version, the code commit, the model, hashes of the prompt and output schema, and the row count of every table. Tone scores for passages of S&P 500 10-K filings on five dimensions, toward 13 topics, by Claude Haiku 5.5 (claude-haiku-5-5). The re
FinSight gathers plain-text 10-K and 10-Q SEC filings for twenty major US public firms spanning six sectors, yielding 97 records intended for BERT fine-tuning, retrieval-augmented generation, and multi-agent financial research.
Global Job Postings – Multi-ATS is a single dated snapshot of 112,816 job listings aggregated from 23 applicant tracking systems and parsed into a 47-column schema by NextGig-Rocks. It is distributed as Parquet via the Hugging Face datasets library and targets labor-market research, not production job boards.
India IPO GMP vs actual listing: an open track record How well does the grey market premium (GMP) predict an Indian IPO's listing? This dataset records the GMP of every mainboard IPO before it listed and compares it with the actual listing-day result. No values are back-filled. Live, auto-updating version: https://paisatools.co.in/ipo/gmp-accuracy What it shows so far 35 mainboard IPOs listed betw
Over 1.3 million granted US patents from the BIGPATENT benchmark, each pairing its claims with an abstractive summary and full description text in English (CC BY 4.0, Parquet). Use it to track the technology areas where applicants are filing and to study how claim language has evolved over time.
SEC Insider Trading Filings - Forms 3, 4 & 5 Every SEC insider-trading filing submitted between 1 April and 30 June 2026, parsed from EDGAR's raw XML into three flat, joinable tables. 56,102 filings · 78,328 transactions Why this exists Insider filings are the most direct disclosure there is of what the people running a company are doing with their own money, and every one of them is free to downl
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
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
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, and 19 shared Judge-scored criteria per case (760 entries). Dataset: data/test.parquet, 40 cases in Parquet format. Office Action PDFs: assets/, named OAR-<id>
ClinicalTrials.gov scraping tool that extracts study records based on criteria like condition, sponsor, phase, status, or geography, yielding one row per NCT identifier containing fields such as sponsors, phases, enrollment, outcomes, and locations, with no API key needed and approximately 11,191 rows and 63 fields collected over 65 runs.
Original TIFF drawings and grant full-text XML for 165,917 U.S. design patents omitted from the AI4Patents/IMPACT collection, filling gaps including 161,093 grants from 2023 to 2026 and 4,824 earlier patents missing from IMPACT.
A community-compiled collection of stock-market-related tweets in English, stored as CSV, hundreds of thousands of posts (CC BY 4.0). Retail chatter feeds sentiment-signal research and market-tone studies.
Text of SEC filings pulled from EDGAR spanning millions of records in English (Apache 2.0): 10-K, 10-Q, 8-K, annual reports and exhibits, tagged for text-generation and classification. A practical base corpus for earnings- and filings-driven signals, from risk factors and MD&A to management commentary.
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
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
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.
S&P 500 Earnings Transcripts Dataset This comprehensive dataset contains earnings call transcripts for S&P 500 companies and US large-caps, spanning from 2005 to 2025. Earnings calls provide valuable insights into company performance, strategic initiatives, and management perspectives that are essential for financial analysis, natural language processing research, and market sentiment studies. Dat
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.
Over 635,000 registered clinical studies from ClinicalTrials.gov together with a supplementary pharma intelligence table of roughly 1.06 million rows that map those trials to FDA drug approvals, distributed as part of an open data initiative for academic and personal use.
The tech-job-postings-salaries-sample dataset is a 500-row public sample of a larger scraping-based feed of technology job postings drawn from public applicant tracking system endpoints such as Greenhouse, Lever, Ashby, Workable and SmartRecruiter. It is published by DataForge (Zalize) for evaluation and preview use.
The Tech Job Postings & Salary Dataset from Zalize Data contains over 449,000 monthly job postings scraped from public applicant tracking systems at US and EU technology companies. It is distributed as parquet files under a CC BY-NC 4.0 license and is part of the DataForge Open Data program.
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
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