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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,093 datasets
Updated to 2020, this dataset extends its coverage to include overseas colonies and introduces new variables for political liberties, electoral turnover, and modes of democratic transition and breakdown. It was created by Svend-Erik Skaaning and last updated in April 2026.
Oral history interview documenting the life and political activities of a female member of the Communist Party of the Netherlands (CPN) born in 1918. Produced by Atria for the Aletta project, the record details illegal resistance during WWII and post-war party leadership roles. The data captures a lifespan of activism from pre-war youth to late-life athletic participation.
This oral history interview documents the life of a female member of the Communist Party of the Netherlands (CPN) born in 1919, covering her activities from WWII resistance to municipal governance. Created by Aletta, Institute for Women's History, the record captures over 60 years of political activism and social work in Rotterdam. It serves as a primary source for the Aletta project focused on women's roles in Dutch communism.
This oral history record features a single interview with a female member of the Communist Party of the Netherlands (CPN) born in 1925. Produced by Atria (Institute for Women's History) for the Aletta project, the data documents her participation in armed resistance in Haarlem and her subsequent work for the Politieke Opsporingsdienst.
One oral history interview documents the life of a female member of the Communist Party of the Netherlands (CPN) born in 1918. Produced by Atria, Institute for Women's History, the narrative details her involvement in the WWII resistance, imprisonment in Ravensbrück, and post-war activism until the 1990s.
This oral history interview documents the life of a woman (CPN06) born in 1923 who was active in the Dutch communist resistance and the Communist Party of the Netherlands (CPN). Produced by Atria, Institute for Women's History, the record covers her involvement in illegal WWII press, her post-war political career, and her eventual departure from the party. The narrative spans from her childhood in a commune through her political activities until the early 1990s.
Highlights of the 1995 National Youth Gang Survey presents findings from a 1998 survey of law enforcement agencies, authored by John W. Moore. The survey achieved an 88% response rate from 2,668 of 3,018 recipients, tracking gang activity across U.S. jurisdictions from 1996 to 1998. It reports a decline in jurisdictions reporting gang activity, from 4,824 in 1996 to 4,464 in 1998, with breakdowns for large cities, suburban counties, small cities, and rural counties.
A collection of R functions for eleven factor number determination procedures, including parallel analysis and the minimum average partial test. The package, authored by Brian P. O’Connor, provides functions for multiple factor analysis methods and correlation types, with references to methodological literature from 2000 to 2019. It supports various rotations and includes functions for assessing factorability, congruence, local independence, and internal consistency.
A custom-developed image dataset of Bengali characters intended for use with the K-Nearest Neighbors algorithm. The dataset was uploaded to the Kaggle platform, but details about its creator, size, and specific contents are not provided. Its primary purpose is to support machine learning tasks related to Bengali script recognition.
177 members of the international system are covered by this dataset, which is a modified and updated version of POLITY II. It focuses on indicators of political authority and regime type, including two indicators of regime type and eight indicators of political authority. The dataset was created by Keith Jaggers and covers the period from 1800 to 1994.
Polity III is a modified and updated version of POLITY II, focusing on indicators of political authority and regime type. It covers 177 members of the international system from 1800 to 1994. The dataset was created by Keith Jaggers.
Social Security Administration data supports management information for the registration of organizations to SSA's internet applications. The dataset is hosted on Data.gov and was last updated on March 10, 2026. Its specific content and scale are not detailed in the available metadata.
Roadscapes is a multitask multimodal dataset for autonomous driving scene understanding. It contains 8,981 annotated images capturing diverse and unstructured road environments typical of India. The dataset was created by author vijpandaturtle and was last updated on the platform in February 2026.
The Great Fergana Canal dataset focuses on water consumption for irrigation management in Central Asia. It likely contains decadal records of water usage, though specific column details and volume are unknown. The author, organization, and last update date are not provided.
The dataset title 'cnn_arxiv_mediasum-qwen3-1.7b-epoch5-lr0.1-val64' suggests it is text data likely generated or processed by a Qwen language model. It appears to be hosted on Kaggle. The specific content, size, and creation details are not provided in the available metadata.
A collection of satellite imagery likely sourced from the Sentinel-2 mission. The dataset appears to be organized for machine learning tasks, though its exact size and geographic scope are unspecified. It is hosted on Kaggle, but the original author and organization are unknown.
A dataset likely containing text pairs for summarization tasks, inferred from the title 'cnn_arxiv_mediasum'. The dataset was published on Kaggle. The specific number of samples, columns, and creation date are unknown.
lead_socring_train is a dataset hosted on Kaggle. The title suggests it contains data for training lead scoring models. No further metadata on size, source, or features is available.
LCNN-EP1 is a dataset hosted on Kaggle, likely related to computer vision tasks. Its specific content, size, and creation details are not provided in the available metadata. Further inspection after download is required to confirm the data's nature and potential applications.
cnn_arxiv_mediasum-qwen3-1.7b-epoch20-lr0.1-val64 is a dataset published on Kaggle. The title suggests it contains outputs from a Qwen language model fine-tuned on summarization tasks, likely involving CNN/DailyMail and arXiv sources. The dataset's specific content, scale, and creation details require verification after download.