Alternative data datasets
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10-K filings for S&P 500 companies retrieved from EDGAR, stored as Parquet with the filing text attached (MIT). A focused corpus for the large-cap annual disclosure cycle: risk factors, MD&A and segment detail for every S&P 500 name.
The mintic_linkedin-job-postings dataset aggregates LinkedIn job posting text into a single string column with roughly 124,000 rows. It is published on Hugging Face by user jmparejaz under an unstated license.
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
Layout metadata produced by PatentHubLayoutV2 for a JusticeDAO repository holding patent and legal material. It references the CFR Title 37 annual edition for 2024 and carries the tag patent-legal-v2.0.0, with publication handled separately as an operator decision.
The Patent Legal IR GraphRAG release follows the Publicus retrieval format, providing dense corpus shards, BM25 documents with CID-keyed length and entry metadata, and BM25 postings arranged for inverted-index use.
Repository layout details generated by PatentHubLayoutV2 for JusticeDAO's patent and legal knowledge graph. The metadata references the CFR Title 37 2024 annual edition under a U.S. public-domain license and is tagged patent-legal-v2.0.0.
A vector and layout configuration for patent and legal texts produced via PatentHubLayoutV2, derived from Title 37 of the Code of Federal Regulations annual edition 2024 and marked as U.S. government public domain.
Datamule partnered with Teraflop AI and Eventual to publish the SEC-EDGAR dataset, which covers all major filings from the SEC EDGAR database and amounts to 590 GB across about 8 million samples and 43 billion tokens. Collection relied on the datamule-python library and John Friedman's official datamule API, tools designed in Python for gathering and handling SEC filing data.
Metadata for every EDGAR filing submitted to the U.S. Securities and Exchange Commission from 1994 through December 14, 2024, derived from the quarterly master index files and including CIKs, issuer names, and form types.
Restaurant_Reviews.tsv is a small text corpus of customer restaurant reviews paired with a binary sentiment label. It is published on the Hugging Face Hub by user KarthikaRajagopal under an unstated license.
sec_filings is a small text dataset of 494 rows that pairs natural-language queries about U.S. securities filings with retrieved document facts and ground-truth answers. It is distributed under an unstated license on a public dataset hub.
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The Future of Patent Corpus Management One Document, Fully Decoded - Without Anyone Reading It The signal you cannot get from a search interface The highest-value competitor signal in a patent portfolio is not the invention. It is the amount of money and urgency a company committed to it. That signal is never in an abstract, and no search interface surfaces it. It comes out of this corpus for ever
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
Earnings-call transcripts for S&P 500 companies, tens of thousands of calls in English with timestamps, in Parquet (MIT). Direct input for call-tone and question-and-answer sentiment analysis across the large-cap earnings cycle.
The patents-publications-dataset is a large-scale tabular collection of patent publication records distributed in Parquet format. Hosted by publisher labofsahil on the Hugging Face Hub under an unstated license, it is sized in the 100M–1B row range.
A JSONL collection of detokenized EDGAR agreement records, where a single entry may contain multiple agreements and no source-level cleaning has been applied.
Metadata for hundreds of thousands of clinical trials in English, French and Spanish, structured in Parquet with study-level fields such as phase, condition, sponsor and status (Apache 2.0). Trial starts and phase transitions lead clinical development, so this works as an early indicator of biotech pipeline activity.
Minimal information is provided on this clinical-trials-embedded dataset, with additional details needed.
A corpus of around 1.3 million U.S. patent filings paired with human-authored abstractive summaries, organized into nine Cooperative Patent Classification categories ranging from human necessities to textiles and paper.
The clinical_trials dataset distributes ClinicalTrials.gov registry records in Parquet format for offline analysis. It contains a single training split of roughly 150,000 rows sourced from the public clinical-trial registry.
patent-desc-test is a small text dataset on Hugging Face Datasets that contains short identifier-style strings derived from patent document numbers. The dataset is published by user matthias-ehrlich and is broadly tagged as public records–adjacent text data.
A unified compilation of worldwide crude oil prices along with import, export, and net import series, blending daily and monthly observations from multiple public sources into one analytical file.
An analytical project examining the Paris Housing Dataset to uncover which property attributes most strongly affect asking prices. It involves cleaning, visualizing, and statistically modeling the records to answer targeted research questions.
A compact sample set of SEC filings used for the MemGPT agent demos, tens of thousands of text records. A small, clean entry point to filings text rather than a comprehensive corpus.
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.
AlphaAI's near-real-time parse of SEC EDGAR Form 4 filings, providing 20,832 individual insider transaction tranches and 8,538 grouped economic events for US public-company officers, directors, and 10% owners.
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german-job-postings is a publicly hosted corpus of roughly 70,584 normalized German-language vacancies drawn from the Bundesagentur für Arbeit Jobbörse API, each row tagged with the KldB-2010 occupation code and machine-assigned ESCO occupation and skill labels. The dataset is distributed under CC-BY-4.0 and is intended as an open alternative to the predominantly English/US job-posting resources available to machine-learning practitioners.
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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.
A repository of roughly 2.7 million publicly available U.S. patent application records split into yearly source files spanning 2021 to 2026, covering application metadata, applicants and inventors, classifications, prosecution history, continuity and priority data, assignments, publications, and grant information where present, sourced from the USPTO.
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.
Designed to aid Nifty50 trading research, this dataset merges financial news, sentiment indicators, and stock market data into a single analysis-ready resource, enabling pipelines that cover news cleaning, impact categorization, FinBERT-based sentiment scoring, and Temporal Fusion Transformer forecasting.
A queryable DuckDB mirror of the AACT flat-file export of ClinicalTrials.gov, packaged via the clinicaltrials-database project and covering every registered trial across 48 tables totaling roughly 58 million rows.
google-patents-data-preview is a community-uploaded preview of Google Patents bibliographic records, distributed in Parquet format through the Hugging Face Hub. The single training split contains roughly 340,000 rows covering patent identifiers, classifications, and localized text fields.
A point-in-time snapshot of single-family-home price records for November 2024 in CSV, tens of thousands of entries. Useful for housing-market analysis and cross-checks against other property-price series.
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.
Two Parquet files hold global patent publication records paired with quality indicators for Chinese invention patent families from 2003 to 2019, with each row representing a focal family and carrying cumulative measures such as semantic knowledge recombination, strict historical semantic novelty, and IPC-based robustness.
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.
TUDelft-Electricity-Consumption-1.0 is a high-resolution, open-source time series dataset of household electricity load published on Hugging Face by OpenSynth. It draws on multi-country trials covering thousands of households under different tariff regimes and is distributed in Parquet format.
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A CC-BY-4.0 licensed compilation from Ozari Health cataloging 22 major published GLP-1 clinical trials as of May 2026, consolidating peer-reviewed trial-level data into a single structured index.
The restaurant_reviews dataset is a small text corpus of roughly one thousand customer review snippets paired with binary sentiment labels, published on the Hugging Face Hub under the user account pachequinho. It is distributed in CSV format with an Apache-2.0 license declaration.
Clinical-trials records combining structured metadata and narrative text, hundreds of thousands of studies in Parquet. An early read on pharmaceutical pipeline activity and trial design trends.
Stocks Quarterly Earnings This dataset includes quarterly earnings report data for various stocks. 355,371 rows over 6,406 symbols, 8 columns, covering 1996-01-31 to 2026-07-31. Refreshed monthly. Strategies Built on This Data 490 papers in the Papers With Backtest catalogue declare this dataset as an input. 456 of them have been coded and run over their own full history. The median replicated Sha
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
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.
ClinicalTrialSummary is a Hugging Face dataset published under the pat-jj account that pairs long-form clinical trial article text with shorter plain-language summaries. It is distributed in Parquet format with predefined train, validation, and test splits totaling 77,516 rows.
Dataset Card for "ClinicalTrialSummary_Simple" More Information needed
Dataset card entry for "AIPD_nlp_granted_claims" with additional details required.
🧬 Dataset Summary Patent-linked nucleotide sequence records focused RNAi therapeutics patent portfolio. Each record pairs a raw nucleotide sequence with its source patent number, publication date, and global patent family coverage. 🚀 Key Features Patent Linkage: Each sequence is tied to a patent number (pn) and publication date (pbdt), enabling sequence-to-IP traceability. Global Family Coverage:
A daily record of trading activity across multiple major global stock market indices, structured for trend analysis and forecasting work in international equity markets.
Patent_FR_US_Merge_Radix_65536 is a Hugging Face dataset by publisher PhysiQuanty that merges French and US patent documents into a single text corpus. It is distributed in Parquet format and is tagged with an Apache-2.0 license, though the README provides no further description.
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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patent-ate termhood on HUPD This dataset is a ranked phrase table: each row is a multiword (or surface) key, a nested-frequency C-value, and how many filings contain that key (df). patent-ate corpus then score built it from the Harvard USPTO Patent Dataset (HUPD). It is not HUPD itself. Start with the slice (3,393 rows, tens of kilobytes). The full table is 88,607,764 keys from 4,518,254 filings a
Dataset Card for "zephyr_pi0_gen_57k_for_offline_dpo_ipo" More Information needed
Minute- and daily-resolution price histories for more than 2,500 National Stock Exchange securities and indices from 2000 through 2026 are consolidated into roughly 1.5 gigabyte Parquet shards to enable rapid streaming on Hugging Face infrastructure.
clinicaltrials.gov-summary_and_eligibility is a small Parquet mirror of selected ClinicalTrials.gov records, distributed on the Hugging Face Hub under the rjac publisher. It packages study identifiers, recruitment status, titles, brief summaries, and eligibility criteria into a single tidy table of roughly three thousand rows.