license: mit
task_categories:
- text-classification
language:
- en
Sentiment Dataset (English)
Dataset Summary
This dataset contains 90 entries consisting of English sentences, each labeled with a binary sentiment (positive or negative). The labels are provided as integer values: 1 for positive sentiment and 0 for negative sentiment. This dataset can be used for training, evaluating, and fine-tuning sentiment analysis models.
Supported Tasks
Sentiment Analysis: Binary classification task where the goal is to predict whether a given sentence has a positive (1) or negative (0) sentiment.
Dataset Structure
Columns:
sentence: The textual data representing user feedback or opinions (strings).
label: Integer value representing the sentiment class:
1: Positive sentiment
0: Negative sentiment
Sample Data:
Sentence Label I love this product! 1
This is the worst purchase I've ever made. 0
Absolutely fantastic experience! 1
Not satisfied with the quality. 0
I would recommend this to everyone. 1
Dataset Statistics
Total Entries: 90 Positive Sentiments (Label = 1): Approximately 50%
Negative Sentiments (Label = 0): Approximately 50%
Data Collection
This dataset appears to consist of user-generated content and represents various positive and negative sentiments. Details about the data source or method of collection are not provided.
Licensing Information
This dataset is licensed under the MIT License. You are free to use, modify, and distribute the dataset under the terms of this license.