Alternative data datasets
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Includes all company names and cik keys from the SEC database.
Dattito's clinical-trials-data is a Parquet-format dataset of roughly 24 million clinical trial records sourced from public trial registries. It aggregates identifiers, conditions, and standardized medical terminology into a single table for large-scale analysis.
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Later and continuously updated statistical outputs capturing developments from the late 1980s through the 1990s.
Financial sector data and macroeconomic statistical releases standardized under reference 71.
A cross-domain collection of statistical frameworks covering standards 72 through 74.
A 220-million-row consumer file forms the foundation for ZIP-code-level analytics.
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edgar_xbrl_companyfacts is a Hugging Face dataset published by DenyTranDFW that aggregates U.S. SEC EDGAR XBRL company-facts filings into a single Parquet file. The training split contains roughly 125 million rows of structured financial facts tagged by reporting period and unit.
Real estate listings and sales from 2001-2021
Useful for retrieval-augmented legal history analysis, similarity-based search, and pretraining language models specialized in legal text.
ClinicalTrials.gov XML for studies registered between 2018 and 2024, parsed into CSV, hundreds of thousands of records under CC0. A clean, licensed point-in-time history of US clinical-trial registrations.
Building cost figures and benchmarks from Dodge construction data, organized by structure type, project scale and geographic area.
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Real Estate Listings Across Major Cities in Bangladesh with Prices in Bangladesh
A large granted-patent text collection from the USPTO, tens of millions of records in Parquet (Apache 2.0). Broad coverage of claims and descriptions for IP-intensity and technology-trend measurement.
Dataset Factory · v2026.10 Dataset website · GitHub release · Hugging Face · Catalogue Artifact: 2c1dade2913d0a8b643c89e628095a18e03223a6167beb9363316389486a544d Suitability and evaluation requirements Retained for retrospective model-development research. Each row is one distinct trade mark application whose features are its own filing-time attributes as recorded in the single frozen 2018-02-13 I
DartLab 데이터 종목코드 하나로 읽는 한국 DART + 미국 SEC EDGAR 공시 데이터 Structured Korean (DART) and US (SEC EDGAR) disclosure data, ready as Parquet. 무엇인가요? DartLab이 한국 DART 전자공시와 미국 SEC EDGAR 공시를 종목코드 하나로 비교 가능한 표로 가공해 Parquet으로 올려둔 데이터셋입니다. 한국 전 상장사(약 2,700사)와 미국 주요 상장사(약 1,000사)의 재무제표, 사업보고서 본문, 정형 공시, 주가, 거시지표가 들어 있습니다. 이 데이터셋은 DartLab의 데이터 층입니다. dartlab.Company("005930")을 호출하면 라이브러리가 필요한 parquet을 여기서 자동으로 내려받
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This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour_anchor_dagger1.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour_cheat.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour_dagger1.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour_dagger12.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour_dagger1_cheat.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour_dagger1_cheat5.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour_dagger2.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour_dart.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour_dart_full-xl.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour_dart_full-xxl.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour_dart_full_anchor-xl.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour_dart_xl.
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 20, "features": { "observation.images.image": { "dtype": "video", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height":… See the full description on the dataset page: https://huggingface.co/datasets/edgarcancinoe/water_pour_shift.
Compilation of worldwide development metrics spanning multiple indicators.
Standardized reference structures for United States Postal Service ZIP codes.
Geolocated garage building permit records from municipal open data, 2025
An extensive archive of SEC EDGAR submissions from company filings, organized by CIK, document type, and date, and accessible through a live REST API at api.ai-analytics.org.
Project intelligence on energy infrastructure covering pipelines, commodity facilities, permits and construction milestones.
Over 12.9 million U.S. brands evaluated for presence in AI-driven search platforms such as ChatGPT, Claude, Perplexity, and Gemini, with the list expanding continually.
A platform that consolidates public filings, government, property and corporate records and normalizes them for analytical use.
A synthetic person-level dataset spanning the entire United States, including individual records together with linked place identifiers.
Structured numeric records parsed from corporate filings such as 10-K, 10-Q, and 8-K submissions to the U.S. SEC. The figures are packaged inside a compressed DuckDB instance made available through the open-source Datapond registry for fast querying.
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Continually expanding collection of publicly available statistical and reference datasets sourced globally.
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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.
Mobile App Permission Analysis and Classification
Zillow Home Listings in the U.S: Buyable Homes Dataset. Explore U.S. Real Estate
Financial data parsed from 10-Q, 10-Q/A, 10-K, 10-K/A SEC filings from 2010.
US Earnings Release Dates from SEC 8-K Filings (2004 onward) Every earnings release filed on SEC Form 8-K Item 2.02 since 2004 (229,038 releases): filing time in New York time and whether it came before the open, during the session or after the close. Useful for event studies. import pandas as pd df = pd.read_parquet("hf://datasets/FinzData/sec-earnings-release-dates/data/earnings_dates.parquet")
Daily updates covering the entire historical record of more than 250,000 Federal Reserve Economic Data series such as interest rates, inflation, economic growth, employment, and credit metrics.
Structured datasets on United States federal expenditures, contracting activity and agency disbursements intended for public-sector demand analysis.