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Offline RL trajectories, game data, robot demonstrations, RLHF, multi-agent interaction
10,048 datasets
Guidelines for Preventing Opportunistic Infections Among Hematopoietic Stem Cell Transplant Recipients, authored by the CDC, the Infectious Disease Society of America, and the American Society of Blood and Marrow Transplantation. The dataset is a collection of medical recommendations published on the paperswithcode platform. The specific format, size, and detailed content require verification after download.
Comprising detailed records of customer support tickets. It is tagged for the Arts and Entertainment and Retail and Shopping sectors.
Kaggle's Dirty Financial Transactions Dataset is designed for anomaly and fraud detection practice. The dataset contains financial transaction records that are intentionally unclean, requiring preprocessing. Its creator and specific size are not documented.
Kaggle hosts a dataset containing retail customer and transaction information. The dataset is categorized under Business tags, indicating its focus on commercial operations. Details on its size, author, and update history are not provided.
Over 30 million people speak Amazigh languages in North Africa, yet digital resources are scarce. This trilingual lexicon pairs Amazigh vocabulary in Tifinagh script with French and Arabic translations. It was created by prothmane and last updated on December 17, 2025.
Filings by senior executives, directors, and major shareholders reporting changes in company stock holdings, as mandated under Section 16 of the Securities Exchange Act of 1934. Data originates from Form 3, Form 4, and Form 5 submissions to the SEC's EDGAR system and is provided by the Securities and Exchange Commission.
SacreBLEU is a standardized implementation of the BLEU metric for evaluating machine translation output. The dataset likely contains text pairs or evaluation scores used for benchmarking translation models. It is hosted on Kaggle, but the specific source, size, and creation details are not provided in the metadata.
SacreBLEU is a standard metric for evaluating machine translation systems, designed to provide consistent and reproducible scores. The dataset likely contains scores or comparative results from applying this metric to translation outputs. It is hosted on Kaggle, but the specific source, size, and update frequency are not detailed in the provided metadata.
Transactions is a dataset published on the Kaggle platform. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Users must download and inspect the data to verify its scope and applicability for their projects.
dataset_for_cursach is a dataset hosted on Kaggle. The title suggests it is likely a collection of data compiled for a university coursework or student project. No further metadata, such as author, description, or column details, is provided.
A dataset titled 'Transactions' published on Kaggle. The specific content, scale, and origin are not detailed in the provided metadata. Users must download the dataset to verify its actual contents, which likely involve records of financial or commercial exchanges.
Xsacsgmn2 is a dataset published on Kaggle. Its content likely relates to reinforcement learning, as suggested by the platform's categorization. The dataset's specific size, features, and origin are not detailed in the available metadata.
Xsacsgmn4 is a dataset hosted on the Kaggle platform. The dataset's content and scope are not described in the available metadata. Its author, size, and specific creation date are unknown.
4 columns of sales transaction data categorized by geography and item type. The dataset records Country, Product, units, and sales to provide a clear view of international commerce performance.
Retail transaction and promotion response categories. These records track consumer purchasing behavior and marketing campaign engagement.
1,500 itemized order records across 3 product categories (Clothing, Electronics, Furniture) from an Indian e-commerce platform. The data includes specific fields for Profit, Amount, and Quantity alongside geographical markers like State and City.
Sacren is a dataset for reinforcement learning benchmarking. The dataset's specific contents, size, and creator are not detailed in the provided metadata. Its last update and origin are unknown.
Featuring customer spend data intended for profile analysis. The specific number of rows, columns, and data fields are unknown.
The StreamCat dataset provides dam density and storage volume attributes for every local NHDPlusV2 catchment and its upstream watersheds across the conterminous United States. It was developed by Michigan State University through a spatial linkage of the 2009 National Inventory of Dams to the NHDPlusV1 hydrography network, with support from the USGS Aquatic GAP Program.
A subset of 17,469 samples for collecting trajectories of AI agents resolving git tasks. The data was collected from 816 unique, open-source GitHub repositories with permissive licenses and high activity metrics. The dataset was created by JetBrains and last updated on November 18, 2025.