This dataset contains text data for training sentiment analysis models.
The data is collected from various sources, including books, articles,
and web pages.
The data was collected using web scraping and
manual extraction from public domain sources.
1from datasets import load_dataset
2dataset = load_dataset("path_to_dataset")
3
4for example in dataset["train"]:
5 print(example["text"], example["label"])
This dataset is designed for evaluating sentiment analysis models.
The common evaluation metric is Accuracy.
The dataset may contain outdated or biased information.
Users should be aware of these limitations when using the data.
