Alternative data datasets
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This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so101_follower", "total_episodes": 50, "total_frames": 10333, "total_tasks": 1, "total_videos": 100, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:50" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":…
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This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so101_follower", "total_episodes": 709, "total_frames": 187905, "total_tasks": 1, "total_videos": 1418, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:709" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path
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This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so101_follower", "total_episodes": 161, "total_frames": 42852, "total_tasks": 1, "total_videos": 322, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:161" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":
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This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so101_follower", "total_episodes": 101, "total_frames": 26027, "total_tasks": 1, "total_videos": 202, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:101" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so101_follower", "total_episodes": 51, "total_frames": 14615, "total_tasks": 1, "total_videos": 102, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:51" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":…
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "so101_follower", "total_episodes": 417, "total_frames": 74912, "total_tasks": 1, "total_videos": 834, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:417" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":
A Parquet file of annual inflation as measured by consumer prices for Africa, sourced from World Bank gender and regional statistics, indexed by Electric Sheep Africa for African data discovery and released in the 1K–10K row range.
An extensive collection of financial filings sourced from the U.S. Securities and Exchange Commission, intended for analytical and academic use.
Compilation of worldwide development metrics spanning multiple indicators.
Standardized reference structures for United States Postal Service ZIP codes.
A corpus of SEC EDGAR filings in English (Apache 2.0), roughly a few hundred thousand company documents including annual and quarterly reports and exhibits. The filings text is organized for model pretraining and retrieval, but the same documents are the raw material for filings-based and disclosure signals.
ClinicalTrials.gov Published by MORVS — source-linked public data for AI agents. Catalog: morvs.ai/regulatory · Dataset page: api.morvs.ai/datasets/clinical-trials Every registered clinical trial since 2008 with sponsor, phase, status, conditions, interventions. Live API This dataset is served via a live REST API at api.morvs.ai. The card you're reading exists so HuggingFace's index can route AI a
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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A U.S. patent collection with a minimal placeholder card and no additional documentation provided.
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.
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.
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A sampled extraction of IPO-related tables from SEC filings between 1994 and 2026, delivering raw table HTML with provenance fields and targeting roughly 100 tables per year, with edge years possibly containing fewer valid extractions.
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.
Data Analytics and Data Visualisation for beginners
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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.
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Single-source schema containing roughly four billion mobile advertising identifiers spanning thirteen Asia-Pacific markets plus the United States, classified under IAB taxonomy version 1.1.
Nationwide United States coverage of approximately two billion mobile advertising identifiers alongside around 910 million household exposure markers, organized into 295 IAB-aligned branded audience categories.
Intellectual-property datasets that capture patent claims, ownership chains and dispute records to support IP-driven strategies.
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U.S. import shipment information drawn from customs filings that traces the connections between overseas sellers, shippers and U.S. receivers.
FR-Patent-2025-Claims is a tabular dataset published by INPI-France containing individual patent claims from French patent publications. It is distributed in Parquet format with 102,748 rows in the provided training split.
Raw French patent publications from 2020 through 2026, pulled from original A1 XML records by an independent API/FTP extraction and delivered one-document-per-row in streaming-ready parquet.
Worldwide business-entity and firmographic records consolidating corporate registries, ownership hierarchies and contact details.
Patent analytics offering portfolio insights on innovation trends, assignee behaviour and citation patterns (IPQwery).
Dataset Card for clinicaltrials/2017 The clinicaltrials/2017 dataset, provided by the ir-datasets package. For more information about the dataset, see the documentation. Data This dataset provides: docs (documents, i.e., the corpus); count=241,006 This dataset is used by: clinicaltrials_2017_trec-pm-2017, clinicaltrials_2017_trec-pm-2018 Usage from datasets import load_dataset docs = load_dataset(
A consolidated, ready-to-use repository of 13F institutional holdings drawn from SEC EDGAR filings, capturing the most recent quarterly disclosures of more than 13,000 investment managers including hedge funds, mutual fund complexes, pension funds, banks, and family offices, with each record summarizing total assets under management and individual positions.
Structured line items from SEC 10-K and 10-Q filings between 2009 and 2023, plus company facts, fundamentals extracted straight from EDGAR.
Historical Data from SEC Company Filings
A joint release by Datamule, Teraflop AI, and Eventual provides the SEC-EDGAR dataset, comprising 590 GB of content drawn from all major filings in the SEC EDGAR database and totaling roughly 8 million samples and 43 billion tokens. The data was assembled using the datamule-python library and the official datamule API developed by John Friedman, with datamule serving as a Python package for collecting and manipulating such records.
Earnings-call transcripts from an IBM research project, tens of thousands of records with finance tags, in CC0. A filings-adjacent corpus for call-tone and question-and-answer analysis.