Loading...
Loading...
Mathematical datasets, statistical benchmarks, probability, optimization, operations research
2,487 datasets
A historical treatise on mathematics and proportion published on the Papers with Code platform. The dataset likely contains textual content from the work, though its exact format and scope are unspecified. The original author and organization are unknown.
Serving as associated with Sparse Bayesian Dictionary Learning for suppressing impulse noise in broadband signals. It is tagged for applications in audio and signal denoising. Specific details on rows, columns, and data structure are unavailable.
A dataset focused on mathematical reasoning, sourced from Kaggle. The dataset's specific size, creator, and update history are not provided in the metadata. Its content likely contains structured text or tabular data related to solving mathematical problems.
A dataset titled 'Step-by-Step Mathematical Reasoning Dataset' is hosted on Kaggle. The platform tags suggest it contains text-based problems and solutions for educational purposes. The author, organization, and specific scale of the data are unknown.
A dataset focused on mathematical reasoning, sourced from the Kaggle platform. The dataset's specific content, scale, and creation details are not provided in the available metadata. Its intended application appears to be in education and artificial intelligence, based on the title and platform tags.
A dataset titled 'results-geom-proof' hosted on Kaggle. The platform tags suggest it likely contains data related to geometry proofs, problem solving, and education. The dataset's specific content, size, and authorship are unknown from the provided metadata.
HVAC optimization tips for smart homes, published on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Users must download the dataset to verify its actual structure and information.
A dataset of statistical information on morbidity in Ecuador, published on Kaggle. The specific time range, data collection method, and original author are unknown. The dataset likely contains tabular data on disease incidence or health outcomes within the country.
AI Soundscape Optimization in Urban Parks is a dataset focused on balancing biodiversity and acoustic comfort. The dataset's size, author, organization, and last update date are unknown. It originates from the Kaggle platform.
Kaggle hosts a dataset focused on optimizing Fused Deposition Modeling (FDM) processes with machine learning. The dataset likely contains parameters and performance metrics related to 3D printing. Its specific content, scale, and authorship require verification after download.
Derived from Guangxi Statistical Yearbook, this dataset likely contains regional statistical indicators. The data originates from the official statistical yearbook for Guangxi, an autonomous region in southern China. It is hosted on Kaggle, but the specific variables, time range, and volume are unknown.
A dataset related to a Bayesian statistics project, published on Kaggle. The specific contents, size, and creation details are not provided in the metadata. Further details about the author, organization, and temporal coverage are unknown.
A dataset titled 'Bezier parameterization for DLS optimization' is hosted on Kaggle. The dataset's content likely relates to mathematical parameterization techniques for optimization problems. Metadata is minimal; actual content requires verification after download.
Data related to optimizing MySQL databases for the VICIdial and Asterisk telephony platforms. The dataset contains information on queries, indexes, and performance tuning parameters. The author and specific temporal coverage are unknown.
VICIdial and Asterisk telephony system data focuses on server optimization and performance tuning. The dataset's specific volume, creator, and update date are not provided in the input.
Aggregating the numerical data used to generate Figures 1-3 in the article 'Practical Kinetic Models for Dense Fluids'. It was authored by Seyed Ali Hosseini and is hosted by Harvard Dataverse. The specific row count, column count, and file formats are not provided.
Functioning as associated with a project titled 'Contrastive Bayesian Convolutional Networks for Low‑Latency Detection of Scatte'. It is tagged for Image and Object Detection tasks, specifically involving Bayesian Neural Networks and Convolutional Neural Networks. The row count, column structure, and other specifics are unknown.
GSM8K_zh contains 8,792 Chinese question-answer pairs for mathematical reasoning, translated from the English GSM8K dataset. It is split into 7,473 training samples and 1,319 testing samples for supervised fine-tuning and evaluation. The dataset was created by author ximzdawn using GPT-3.5-Turbo.
UniRec-0.1B is a unified recognition model with 0.1 billion parameters for high-accuracy recognition of plain text and mathematical formulas in Chinese and English. The dataset supports training this model to handle structural variability and semantic understanding of mixed content. It was created by author 'topdu' and last updated on January 8, 2026.
A dataset related to the verification of Register Transfer Level (RTL) designs for hierarchical Static Random-Access Memory (SRAM) macros. It appears to involve a hybrid methodology combining symbolic and statistical techniques. The dataset is hosted on Kaggle and is categorized as Research.