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A Large set of images listed as having CC BY 2.0 license with image-level labels and bounding boxes spanning thousands of classes. Image-level labels, Bounding boxes 9,178,275 Images, text Classification, Object recognition 2017 (V7 : 2022) [23] TV News Channel Commercial Detection Dataset TV commercials and news broadcasts.
High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to produce because of the large amount of time needed to label the data. Although they do not need to be labeled, high-quality datasets for unsupervised learning can also be difficult and costly to produce ...
[1] [5] Compared to other datasets, the Pile's main distinguishing features are that it is a curated selection of data chosen by researchers at EleutherAI to contain information they thought language models should learn and that it is the only such dataset that is thoroughly documented by the researchers who developed it.
GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [3] [4] [5] GPT-2 was created as a "direct scale-up" of GPT-1 [6] with a ten-fold increase in both its parameter count and the size of its training dataset. [5]
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]
Conversion to GTK+ 3, add support for Python 3. Keeps the same data format as Gramps 3.4. Gramps 4.1.0: 2014-06-18 "Name go in book" Full Python 3 support. New place hierarchies model. [40] Different data format to the Gramps 3.4 series. Gramps 4.2.0: 2015-08-03: Python 3 support only (Python 2 support dropped). [41] Different data format to ...
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Big data analysis is often shallow compared to analysis of smaller data sets. [225] In many big data projects, there is no large data analysis happening, but the challenge is the extract, transform, load part of data pre-processing. [225]