task_categories:text-classification language:en license:mit size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
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.