Alternative data datasets
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Keyword frequencies, LDA topics & store counts from SEC EDGAR (FY1996-2025)
sec-filings is a Hugging Face dataset published by Sicheng-Chroma that distributes pre-chunked U.S. SEC filings paired with dense vector embeddings. It is distributed in optimized Parquet format and is intended for retrieval and similarity research over regulatory disclosures.
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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.
Earnings Call Transcript Lite is a small public-records dataset of corporate earnings call transcripts paired with short reference summaries. It is distributed as a CSV and is published on the Hugging Face Hub under an unstated license.
A carefully assembled and contextualized feed of essential pharmaceutical intelligence.
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.
Global startup funding rounds (2024–2025) with industries, raised amounts, inves
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.
Vector embeddings of Apple patent text totalling about 4 million entries, stored as parquet shards with a 768-dimensional float64 feature per record.
JSON data file for SEC conformed company name, CIK, ticker, exchange association
jobpostingsamples is a small sample dataset of US job postings published by talanAI. It is distributed in CSV format and is tagged for use with the Hugging Face datasets, pandas, polars, and mlcroissant libraries.
The us-patents dataset is a collection of ~ 8M US patent grants and applications from 1976-2025, cleaned, filtered, and formatted for pre-training of language models. Document Format corpus_id: Unique integer key with no semantic value. filing_date: The filing date of the grant or application. In case of duplicates, earliest filing date from the duplicate cluster. patent_type: The type of patent.
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.
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
SEC 10-K Filings Embeddings Chunked text from 49 SEC 10-K annual reports for seven large US companies, with a 1536-dimensional dense embedding per chunk. Built for the Pinecone 101 workshop as a ready-to-import vector dataset. Records 15,244 chunks Filings 49 (10-K) Companies AAPL, AMZN, GOOGL, META, MSFT, NVDA, TSLA Fiscal years 2018–2025 (7 per company) Vector 1536-dim float32, intended for cosi
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Worldwide inventory of corporate pledges and decarbonization commitments with detailed context.
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.
Pull organized information from any document type through context-aware parsing and configurable output templates.
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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.
Stock-symbol-linked customer feedback and earnings call texts are processed with natural language processing to derive sentiment indicators, helping assess ESG exposure and brand perception.
The linkedin-job-postings dataset, published by xanderios on Hugging Face, contains a single CSV table of U.S. LinkedIn job listings with about 33,000 rows. It is tagged with a MIT license on the platform, though the underlying LinkedIn terms of service place restrictions on redistribution and use.
The restaurant_reviews dataset, published on the Hugging Face Hub by user yav1327, is a tabular and text collection of restaurant listings paired with user reviews. It is distributed in Parquet format with a single train split of 13,144 rows and an unstated license.
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.
CoER RL Project page · Paper · Code Executable task configurations for Stage 2 bilateral Co-PPO, with separate training and internal-validation splits. These are not generated rollouts or the official evaluation panel. Contents Split File Size train train.parquet 12,705 configurations validation validation.parquet 3,186 configurations Training and validation configurations are disjoint. Internal v
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.
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.
A curated collection of SEC EDGAR filings from recent and upcoming IPO companies, containing 5,179 text segments sourced from 261 filings, formatted for large language model training and financial analysis.