Alternative data datasets

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Showing 1–38 of38 results for “license:cc-by-4.0”
alea-institute
alea-patent-claim-graph

ALEA Patent Claim Graph Reading questions about the dependency structure of real U.S. patent claim sets: which claim a dependent claim refers back to, the chain of claims it rests on, its independent claim, which and how many claims depend on a given claim, and yes / no questions about dependency. Every answer is computed deterministically from the claim text shown in the row. This dataset is part

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alea-institute
kl3m-data-edgar

A copyright-clean text collection released by the ALEA Institute as part of the KL3M Data Project, intended for training language models; full documentation is available via the linked paper and GitHub repository.

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alea-institute
kl3m-data-edgar-10-k

A component of the ALEA Institute's KL3M Data Project supplying training material cleared of copyright concerns. The dataset card is currently a placeholder, directing readers to the GitHub repo and project paper for full documentation.

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alea-institute
kl3m-data-edgar-10-q

The KL3M Data Project from the ALEA Institute supplies copyright-clean training material, and the dataset listed here is one component pending further documentation on its dedicated page.

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alea-institute
kl3m-data-edgar-agreements

Material contracts and agreements extracted from EDGAR filings by the KL3M project: debt, M&A, employment and license agreements, millions of documents in Parquet. Contract language is a niche but real input for M&A, financing and litigation-event signals.

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alea-institute
kl3m-index-edgar-filings

The kl3m-index-edgar-filings dataset, published by ALEA Institute, is a Parquet-format index of SEC EDGAR filings distributed via the Hub datasets library. It contains roughly 20 million tabular records spanning the 10M–100M size category, with an unstated license.

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alea-institute
kl3m-index-edgar-filings-10-k

The KL3M Index of EDGAR 10-K Filings is a tabular index published by the Alea Institute that catalogs SEC EDGAR filings with associated issuer metadata. It is distributed in Parquet format and is tagged for use with pandas, polars, and the mlcroissant dataset library.

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alea-institute
kl3m-index-edgar-filings-10-q

The kl3m-index-edgar-filings-10-q dataset, published by the ALEA Institute, is a Parquet-formatted index of U.S. Securities and Exchange Commission Form 10-Q filings. It is distributed on the Hugging Face Hub with roughly 495,607 rows in a single 'train' split.

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alea-institute
kl3m-index-edgar-filings-8-k

The kl3m-index-edgar-filings-8-k dataset is an indexed catalog of Form 8-K filings from the SEC's EDGAR system, published by the ALEA Institute. It provides structured metadata for over 1.8 million corporate event reports distributed in Parquet format.

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alea-institute
kl3m-index-edgar-filings-s

View source information and access options.

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aswanth007
big_patent

An aggregation of 1.3 million U.S. patent records each accompanied by a human-written abstractive summary, sorted into nine Cooperative Patent Classification groupings spanning human necessities, chemistry, textiles, and related domains.

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cryptokeyhole
onchain-daily-metrics

CryptoKeyhole on-chain daily metrics for Bitcoin and Ethereum Daily on-chain series for Bitcoin and Ethereum, calculated by CryptoKeyhole from full nodes it runs itself, plus the daily history of CryptoKeyhole's own Fear & Greed Index for the crypto market, Bitcoin and Ethereum. This is a snapshot taken on 30 October 2026 from CryptoKeyhole's free public API. The same series, updated every hour, a

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darshvit20
SEC-Edgar-filings

SEC Filings Structured Signals A structured dataset derived from real SEC EDGAR filings, containing information extracted from corporate disclosures submitted to the U.S. Securities and Exchange Commission. The dataset transforms filing text into structured signals covering financial risks, hedging strategies, litigation, supply-chain dependencies, causal relationships, entity relations, and manag

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electricsheepafrica
africa-mauritius-hotel-room-occupancy-rate-2019-to-2023-for-all-hotels-by-s-ef4516bd

Prepared by Electric Sheep Africa, this MDPA-sourced dataset supplies 10 entries of hotel room occupancy rates for Mauritius over 2019-2023, delivered as ML-ready Parquet files accompanied by uniform Hugging Face metadata and source provenance.

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electricsheepafrica
africa-mauritius-hotel-room-occupancy-rate-2019-to-2023-for-large-hotels-by-bcab993e

A small Parquet-format collection from Electric Sheep Africa reporting room occupancy rates for large hotels in Mauritius from 2019 to 2023, containing ten records drawn from MDPA and packaged with Hugging Face metadata for machine learning workflows.

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electricsheepafrica
africa-mauritius-monthly-hotel-room-occupancy-rate-2019-to-2023-for-all-hot-657f1ac6

Assembled by Electric Sheep Africa from MDPA, this dataset provides 60 rows of monthly hotel room occupancy rates for Mauritius spanning 2019-2023, formatted as ML-ready Parquet with consistent Hugging Face metadata and source attribution.

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electricsheepafrica
africa-mauritius-quarterly-hotel-room-occupancy-rate-2019-to-2023-for-all-h-04a9bd9a

Compiled by Electric Sheep Africa, this MDPA-derived dataset offers 20 records of quarterly hotel room occupancy rates for Mauritius across the 2019-2023 period, distributed in ML-ready Parquet format with standardized Hugging Face metadata and source traceability.

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electricsheepafrica
africa-mauritius-quarterly-hotel-room-occupancy-rate-2019-to-2023-for-large-4fa9bd56

Electric Sheep Africa releases 60 quarterly observations from MDPA on hotel room occupancy for large establishments in Mauritius from 2019 through 2023, formatted as Parquet with consistent metadata.

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Farmaanaa
iran_cpi_and_inflation_multisource

Official Consumer Price Index and inflation series for Iran drawn from two providers: the Statistical Centre of Iran (monthly, from 2011/1390 onward) and the Central Bank of Iran (annual, long historical run from 1936/1315 onward), each with its own series and a combined view covering national-level index and percentage data.

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Farmaanaa
iran_inflation_and_cpi_1936_2022

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.

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gtfintechlab
ipo-text

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.

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holdingsintel
smart-money-sec-filings

HoldingsIntel Smart Money Open Data What hedge funds disclose to the SEC, as clean CSV files. A new 13F edition every quarter. Every row links to its SEC filing or to the HoldingsIntel page that shows it. Latest 13F edition: Q2 2026. The Q2 2026 Smart Money Report tells its story. What's inside Folder Edition Files data/13f/<quarter>/ Every 13F quarter, once the funds' filings are in stocks.csv, f

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kbajsarowicz
google-patents-2024-2026

Google patents 2024–2026: an index of 4,651 patent families An AI model rated 339 Google and DeepMind inventions from 2024–2026 as directly about search. Only 93 of them have a write-up in any of the three sources that track Google patents for SEO. Roughly three in four are not covered there. This dataset lists all 4,651 patent families with a publication between January 1, 2024 and September 17,

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listingworks
poland-job-postings-daily

Poland job postings — daily counts and advertised pay by voivodeship and category Publisher: listingworks · Licence: CC BY 4.0 · Source: public job listings on Praca.pl, read once a day from the public list pages only · Personal data: none — the files contain counts and medians only. Period: 2026-10-02 to 2026-11-12 (40 days). Updated automatically once a day (in the 13:00 hour, Japan time, after

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listingworks
poland-job-postings-daily-2026-10

This is the frozen October sample (2–13 Oct 2026). The continuing daily series is at listingworks/poland-job-postings-daily. Poland job postings — daily counts and advertised pay by voivodeship and category (October 2026) Publisher: listingworks (Yusuke Suda, sole proprietor, Yokohama, Japan) · Licence: CC BY 4.0 · Source: public job listings on Praca.pl, read once a day from the public list pages

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logiover
clinicaltrials-gov-scraper-sample-data

An API-based ClinicalTrials.gov scraper that retrieves over 585,000 study records including phase, sponsor, conditions, interventions, enrollment, eligibility, and sites, filterable by condition, sponsor, and status.

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manoj8890
big_patent

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.

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mhurhangee
ep-patent-all-claims

Patent All Claims EP granted claim sets (indepdendent and dependent claims). One claim per line. Claims from 20210915-20250806 Splits Train: 96% Validation: 2% Test: 2% Usage from datasets import load_dataset ds = load_dataset("mhurhangee/ep-patent-all-claims")

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mikhailmakeev
sec-form4-insider-trading

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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milosand1
sec-filings-tone

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

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mischeiwiller
german-job-postings

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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moose-code
polymarket-onchain-v1

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.

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NextGig-Rocks
global-job-postings-multi-ats

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.

Jobs & Workforce Free View
nils424344
india-ipo-gmp-accuracy

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

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NortheasternUniversity
big_patent

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.

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Podtech
llm-jp-corpus-v4-ja_patent

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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wapplewhite4
clinical-trials-landscape-enriched

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.

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wapplewhite4
clinical-trials-sponsor-analytics

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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