Alternative data datasets
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Leadership and organizational records detailing positions held, capabilities, financial allocations, technology investment, strategic direction, digital infrastructure, and professional trajectories.
Labor-market metrics on talent availability, hiring needs, compensation, competencies, demographic representation, workforce mobility, and recruitment patterns segmented by occupation and location.
Enterprise technology inventories outlining the platforms deployed, how heavily each is used, the timeline of implementation, and the types of workloads they support.
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Curated, interlinked registry of rare disease studies, therapies, orphan drug status, and identified molecular targets.
Monitor the intellectual property filings that influence pharmaceutical innovation and competition.
Corporate-action reference date indicating when securities are distributed, supporting prompt and practical allocation information.
Weather and crop-management information designed to support planting decisions for farmers and commodity market participants.
Privacy-conscious first-party click and conversion signals used to build audiences, generate insights, and enable AI-driven activation.
Supplier payment history condensed into PAYDEX credit ratings for millions of businesses.
On-demand global maritime intelligence and freight analytics.
Maritime trade data and shipping market analytics.
Transactional records stored on the Arbitrum blockchain.
An abstraction layer that simplifies access to on-chain blockchain records.
Records derived from the Ethereum blockchain.
Transactional records from the Goerli test network.
Blockchain ledger information sourced from the Scroll network.
On-chain data captured from the Zora blockchain network.
Real Estate Listings Across Major Cities in Bangladesh with Prices in Bangladesh
Granular loan data infrastructure that normalizes consumer credit performance for securitization analysis.
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.
Worldwide advisory community providing pay-per-use expert conversations and panel-based research studies on a broad range of industry topics.
Use for Foundation Models, GNNs, and More
Aggregated bankcard purchase records capturing headline performance figures across a broad set of publicly traded firms.
Aggregated bankcard purchase records capturing headline performance figures across a broad set of publicly traded firms.
Aggregated bankcard purchase records capturing headline performance figures across a broad set of publicly traded firms.
Medical claims sourced from a clearinghouse network, reflecting more than one-third of healthcare interactions occurring within the United States.
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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.
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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":…
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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