Datasets › Capriccio
Capriccio (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, Huggingface datasets) 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.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Apache-2.0
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Capriccio
1 variant name, as the archive lists them.
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