Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
This is the distribution point for the NUS SMS Corpus as described and updated from This is a corpus of SMS (Short Message Service) messages collected for research at the Department of Computer Science at the National University of Singapore. This dataset consists of 67,093 SMS messages taken from the corpus on Mar 9, 2015. The messages largely originate from Singaporeans and mostly from students attending the University. These messages were collected from volunteers who were made aware that their contributions were going to be made publicly available. The data collectors opportunistically collected as much metadata about the messages and their senders as possible, so as to enable different types of analyses. This corpus was collected by Tao Chen and Min-Yen Kan. If you use this data, please ensure the following paper is cited. For more details, please refer to Citation field. Tao Chen and Min-Yen Kan (2013). Creating a Live, Public Short Message Service Corpus: The NUS SMS Corpus. Language Resources and Evaluation, 47(2)(2013), pages 299-355. URL: https://link.springer.com/article/10.1007%2Fs10579-012-9197-9
This is a german text corpus from Wikipedia. It is cleaned, preprocessed and sentence splitted. It's purpose is to train NLP embeddings like fastText or ELMo Deep contextualized word representations.
Yeezy Taught Me Text Generation. Training next character predictions using a RNN LSTM model based on patterns in text corpus with Tensorflow JavaScript
A model was trained using Google handwritten Fonts using a text corpus containing only digits ranging from 0-9. The main aim was to recognize ICR sheets from such trained data. Our model gave an accuracy of 94.6% using Tesseract Version-4.
