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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    The dataset is made up of a number of data artifacts (JSON, JSONL & CSV text files & SQLite database) Climate news DB, Project's GitHub repository [394] ADGEfficiency Climatext Climatext is a dataset for sentence-based climate change topic detection. HF dataset [395] University of Zurich GreenBiz

  3. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    Classes labelled, training set splits created. 8000 Images Classification 2017 [40] Chaladze & Kalatozishvili 11K Hands 11,076 hand images (1600 x 1200 pixels) of 190 subjects, of varying ages between 18 – 75 years old, for gender recognition and biometric identification. None 11,076 hand images Images and (.mat, .txt, and .csv) label files

  4. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  5. MNIST database - Wikipedia

    en.wikipedia.org/wiki/MNIST_database

    Previously, NIST released two datasets: Special Database 1 (NIST Test Data I, or SD-1); and Special Database 3 (or SD-2). They were released on two CD-ROMs. They were released on two CD-ROMs. SD-1 was the test set, and it contained digits written by high school students, 58,646 images written by 500 different writers.

  6. Fashion MNIST - Wikipedia

    en.wikipedia.org/wiki/Fashion_MNIST

    The Fashion MNIST dataset is a large freely available database of fashion images that is commonly used for training and testing various machine learning systems. [1] [2] Fashion-MNIST was intended to serve as a replacement for the original MNIST database for benchmarking machine learning algorithms, as it shares the same image size, data format and the structure of training and testing splits.

  7. BookCorpus - Wikipedia

    en.wikipedia.org/wiki/BookCorpus

    It was the main corpus used to train the initial GPT model by OpenAI, [2] and has been used as training data for other early large language models including Google's BERT. [3] The dataset consists of around 985 million words, and the books that comprise it span a range of genres, including romance, science fiction, and fantasy.

  8. Computerized system validation - Wikipedia

    en.wikipedia.org/wiki/Computerized_system_validation

    The system lifecycle then enters the operational phase and continues until system retirement and retention of system data based on regulatory rules. Similarly, The Rules Governing Medicinal Products in the European Union, Volume 4, Annex 11: Computerised Systems applies to all forms of computerized systems used as part of a GMP regulated ...

  9. Open energy system databases - Wikipedia

    en.wikipedia.org/wiki/Open_energy_system_databases

    A number of download formats, including GIS files, are supported: CSV, XLS, GeoJSON, KML, and SHP. The site also offers an API for automated downloads. The portal uses the Creative Commons License and also hosts datasets from other sources which are licensed under the Open Government Licence (OGL).