SomNLP-Corpus is an open, high-quality Somali text corpus designed to support research and development in Natural Language Processing (NLP), Large Language Models (LLMs), and other AI applications for the Somali language.
MirasText
A project that extracts Honkai: Star Rail text corpus
Polish RoBERTA model trained on Polish literature, Wikipedia, and Oscar. The major assumption is that quality text will give a good model.
AsoSoft Text Corpus is the first large scale text corpus for the Kurdish language.
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.
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 …
Statistical text analysis and semantic networks with Python
Command-line corpus tools
Yeezy Taught Me Text Generation. Training next character predictions RNN LSTM model with user input text corpus
A framework for semantic text search
Text corpus the of Tlingit language for linguistic research.
text corpus 📃 scraped from the scripts 💬 of all Seinfeld episodes
Search a long list of names (patterns) in a large text corpus systematically and quickly
Katya or The Liberated Corpus a text corpus that allows you to request and scrape any web resource!
Cleaned Somali Wikipedia corpus (~9,500 articles) for NLP, LLM training, and linguistic research
CC0 corpus of 1,354 ancient Greek authors and 4,053 works — Homer through late antiquity. Philosophy, history, drama, lyric, medicine, mathematics, rhetoric, and the fragmentary traditions, in clean Unicode Greek. PDF, Markdown, plain text, and JSON. Data store for Eulogikon (https://eulogikon.org). AI training permitted.
📰 Iltalehden otsikoista koottu tekstitietokanta
Using natural language processing techniques to determine the sentiment expressed in a tweet, classified as positive or negative.
Walk through to convert WikiMedia into a text corpus
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