Explore how datasets shape classifier biases
Explore income data with an interactive visualization tool
Explore and compare LLM models through interactive leaderboards and submissions
Generate synthetic dataset files (JSON Lines)
Browse LLM benchmark results in various categories
Display a welcome message on a webpage
Build, preprocess, and train machine learning models
Uncensored General Intelligence Leaderboard
Analyze weekly and daily trader performance in Olas Predict
Generate a detailed dataset report
Display a treemap of languages and datasets
Generate financial charts from stock data
Embed and use ZeroEval for evaluation tasks
dataset-worldviews is a powerful tool designed to explore and analyze how different datasets influence the biases of classifiers. It provides insights into how various data compositions can shape the behavior and decision-making of machine learning models. By examining these relationships, users can better understand and address potential biases in their datasets.
What types of biases can dataset-worldviews detect?
dataset-worldviews can identify various types of biases, including selection bias, confirmation bias, and imbalanced class distributions.
How do I handle imbalanced data using dataset-worldviews?
The tool offers several strategies, including resampling techniques, cost-sensitive learning, and data augmentation.
What file formats does dataset-worldviews support?
dataset-worldviews supports common formats such as CSV, Excel, and Pandas DataFrames.