: Use the 100K scale to train models using pre-processing techniques like tokenization, stemming, and lemmatization for identifying misinformation in mixed-source data. Direct Sources for .txt Data
: A large-scale dataset for LLM-based web information extraction. It combines multilingual markdown/text content from real web pages with natural-language prompts and validated JSON responses. Download 100K mixed txt
: This dataset includes over 100,000 textual descriptions of real-life choice dilemmas sourced from social media and surveys, ideal for computational analysis of trade-offs and behavioral themes. : Use the 100K scale to train models
To develop a research paper using a dataset, you can leverage several established open-source benchmarks and research repositories that provide diverse, high-scale textual data. Top Datasets for "100K Mixed Text" : This dataset includes over 100,000 textual descriptions
: A classic recommendation system dataset containing 100,000 ratings. Researchers often use this to test collaborative filtering and hybrid recommendation algorithms.
Depending on your research focus (web scraping, social media analysis, or manufacturing), you can download the following 100K-scale datasets: