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General ML benchmarks, tabular data, AutoML, recommendation systems, anomaly detection, evaluation suites
188,103 datasets
songyiren's dataset contains full generation and evaluation results from running the Visual Reasoning Benchmark Suite v3 on two image generation models. The benchmark includes 1,705 items across 10 tasks such as figure completion, spatial generation, mazes, Sudoku, board games, matchsticks, orthographic views, and visual math proofs. Results were judged by the gemini-3.1-pro-preview model and the dataset was last updated on July 8, 2026.
Leaf functional trait measurements describe leaf structure, chemistry, and metabolism. Data was collected from the Alice Mulga site in 2014. The dataset is provided by the Terrestrial Ecosystem Research Network's Data Discovery platform.
919,869 English chat and agentic conversations are formatted in ChatML (Anthropic-style) Messages. Every assistant turn begins with a short, dense chain-of-thought reasoning tag (<reasoning>) that leads to the final answer. The dataset was created by GasaiAI and is built on top of the curated answers from HuggingFaceTB/smoltalk2, with a last update timestamp of 2026-06-21.
Rewina Tilahun Gessese provides annual under-five stunting prevalence data for Ethiopia from 2000 to 2024, sourced from the WHO Global Health Observatory. The dataset includes forecasts for 2025-2030 generated using time series models, with the Exponential Smoothing (ETS) model selected as the best performer. The data was last updated on April 22, 2026.
Lambeth, a borough in London, provides geospatial data on leisure centre locations. The dataset is published by the London Borough of Lambeth organization and was last updated on 2026-07-08. The specific number of records and detailed attributes are not provided in the available metadata.
The Great Barrier Reef Wireless Sensor Network, part of the Australian Integrated Marine Observing System (IMOS), collected this wind data set. It originates from the Wireless Sensor Networks Facility (formerly FAIMMS) within the Great Barrier Reef Ocean Observing System (GBROOS) project. The data set was last updated on 2026-06-17.
Rainfall data collected on December 2, 2008, by the Great Barrier Reef Wireless Sensor Network. The data is part of the Wireless Sensor Networks Facility within the Great Barrier Reef Ocean Observing System project, managed by the Australian Integrated Marine Observing System. The dataset is hosted by the Australian Ocean Data Network.
Salinity data collected by the Great Barrier Reef Wireless Sensor Network from November 19, 2009, to August 13, 2017. The dataset is part of the Great Barrier Reef Ocean Observing System project managed by the Australian Integrated Marine Observing System. It was collected via the Wireless Sensor Networks Facility, formerly known as the Facility for The Automated Intelligent Monitoring of Marine Systems.
Lizard Island data collected by the Great Barrier Reef Wireless Sensor Network on 13 August 2010. The data originates from the Wireless Sensor Networks Facility, part of the Great Barrier Reef Ocean Observing System (GBROOS) and the Australian Integrated Marine Observing System (IMOS). It was aggregated by the Australian Ocean Data Network.
Parasite prevalence estimates are provided as percentages for males and females across different age groups. The dataset includes mean estimates with 95% uncertainty intervals and covers helminths. It was authored by Stephanie M. Wu and last updated on June 4, 2026.
Stephanie M. Wu provides a dataset of region-specific estimated parasite prevalences. Mean estimates are displayed with 95% uncertainty intervals in parentheses, and the data includes a category for other helminths. The dataset was last updated on 2026-06-04 and is licensed under CC-BY-4.0.
A study from 2026 analyzed data from 37 participants who completed up to 16 ecological momentary assessments per day for 10 days during a smoking cessation attempt. The dataset contains results from random forest algorithms predicting smoking lapses and cravings, evaluated via F1-scores and ROC-AUC using mixed effects models. It was authored by Corinna Leppin and shared on figshare under a CC-BY-4.0 license.
Thirty-seven participants completed 16 ecological momentary assessments per day for 10 days, reporting mood, context, behavior, cravings, and smoking lapses. The dataset contains results from random forest algorithms predicting lapses and cravings, evaluated via F1-score and ROC-AUC. The data was authored by Corinna Leppin and last updated on 2026-05-14.
Thirty-seven participants completed 16 ecological momentary assessments per day for the first 10 days of a smoking cessation attempt, reporting mood, context, behavior, cravings, and smoking lapses. The dataset, authored by Corinna Leppin and shared on figshare under CC-BY-4.0, contains participant-level characteristics used to evaluate random forest algorithms predicting lapse and craving risk. Performance metrics for these predictions, including F1-scores and ROC-AUC, are reported with substantial inter-individual variability.
Lizard Island data was collected by the Great Barrier Reef Wireless Sensor Network, part of the Australian Integrated Marine Observing System. The dataset is associated with the Wireless Sensor Networks Facility, formerly known as FAIMMS. It was last updated on 2026-06-17 00:39:25.010318.
The Great Barrier Reef Wireless Sensor Network, part of the Australian Integrated Marine Observing System (IMOS), collected this water temperature data set. It originates from the Wireless Sensor Networks Facility (formerly FAIMMS) within the Great Barrier Reef Ocean Observing System (GBROOS) project. The data set was collected starting on 13 August 2010.
Global 0.25-degree gridded monthly mean leaf area index (LAI) climatology averaged from August 1981 to August 2015. The dataset was derived from the AVHRR GIMMS LAI3g version 2 bi-weekly product, processed to remove missing values and calculate long-term monthly means. It is provided by the National Aeronautics and Space Administration.
Heron Island depth data collected on 09 September 2012 by the Great Barrier Reef Wireless Sensor Network. The data is part of the Great Barrier Reef Ocean Observing System project, managed by the Australian Integrated Marine Observing System. It was published by the Australian Ocean Data Network.
Land cover and land use classification for the state of New Hampshire at 30-meter resolution, featuring 23 distinct classes. The dataset was created by analyzing 12 Landsat Thematic Mapper scenes and incorporating over 2,600 training data points from new and archived field sites. It represents a snapshot of land conditions spanning from 1996 to 2001.
Orpheus Island data collected by the Great Barrier Reef Wireless Sensor Network, part of the Australian Integrated Marine Observing System (IMOS). The data set covers a time range from 08 November 2009 to 11 September 2017. It was published by the Australian Ocean Data Network.