Omkar2118/datasets huggingface dataset:
Capriccio
Full name: Sentiment Analysis + Data Drift

Capriccio is a sentiment classification dataset on tweets that simulates data drift.
It is created by slicing the Sentiment140 dataset ([homepage](http://help.sentiment140.com/home), [Huggingface datasets](https://huggingface.co/datasets/sentiment140)) with a sliding window of 500,000 tweets, resulting in 38 slices.
Thus, each slice can be used to represent the training/validation dataset of a sentiment classification model that is re-trained every day.
Each slice has 425,000 tweets for training (file named `%d_train.json`) and 75,000 tweets for validation (file named `%d_val.json`).

The name comes from the adjective *capricious*.

Introducing paper: Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training