Alternative data datasets
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A private collection of cleaned earnings-call transcript segments derived from a Motley Fool Kaggle release, split into 135,306 training rows tagged with ticker, exchange, date, and chunk text.
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Chinese patents paired with their abstractive summaries in Mandarin, a few thousand records in JSON (Apache 2.0). A window into the pace and direction of patenting inside the Chinese technology base.
Mechanical Utility Patents — 100 HTML Records A curated collection of 100 distinct granted U.S. utility patents from 100 patent families, saved as HTML for mechanical-engineering document analysis. Published by cmuchancel. Source disclosure: the patent text, bibliographic metadata, and drawings were obtained from Google Patents. Original PDFs and drawing assets are hosted on patentimages.storage.g
A legacy archive of Iran's consumer price index and inflation series from 1936 to 2022 remains available, though an updated multisource version using current Farmaanaa methodology supersedes it.
Text of IPO filings, including S-1 and related prospectuses, in JSON: hundreds of thousands of records in English (CC BY 4.0). Pre-IPO disclosure text is one of the few information sources available ahead of a listing.
Quarterly 10-Q filings parsed from EDGAR into JSON, millions of records in English (MIT). The quarterly companion to the 10-K corpus for tracking sequential changes in operating performance and risk factors.
S&P 500 Corporate Filings (SEC EDGAR 10-K & 8-K Archive) Overview This dataset contains clean, structured public data exported directly from production runs of Apify actors. It serves as a benchmark and sample for lead qualification, market intelligence, research, and machine learning pipelines. Source Actor: captainhandsome/sec-edgar-filings-search Dataset Page: Public sample and schema Preconfig
SEC Filing Search Queries Realistic search queries over SEC 10-K, 10-Q and 8-K filings, each with the one filing (and passage) that answers it. Built to measure filing search the way it is used: terse keyword searches, analyst questions with fiscal or relative periods, and follow-ups that leave the company implicit. Each query is a rewrite of a question from nvidia/Nemotron-SFT-Finance-Document-Gr
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
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.
Citation This dataset builds on edgar-corpus.
Agent Earnings 87 sourced, dated entries on money made with AI agents: agent businesses, marketplace and bounty payouts, x402 pay-per-call sales, sponsor and affiliate income, and other experiments. The set includes flops, one withdrawn figure, one sponsor list price (not revenue), one project count (not a dollar amount), one bounty total (Superteam Earn, $84,137) that the entry marks as claimed b
tech-job-postings-labeled is a small public dataset of labeled technology job postings published on Hugging Face by SuhaibAtef. It comprises roughly 8,000 records tagged with source labels and is distributed in JSON.
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.