metadata

license: apache-2.0
language:
  - fa
pretty_name: persian
task_categories:
  - text-classification
tags:
  - 'persian '
  - persian dataset
  - sentiment
  - persian sentiment
size_categories:
  - 10K<n<100K

Sentiment Analysis Dataset

Dataset Description

The "mansoorhamidzadeh/sentiment" dataset is designed for sentiment analysis tasks. It contains text data labeled with sentiments, which can be used to train and evaluate models for binary sentiment classification (positive or negative).

Dataset Structure

Columns

The dataset consists of the following columns:

text: The text content of the review or comment.
label: The sentiment label associated with the text (0 for negative, 1 for positive).

Usage

To load and use this dataset with the Hugging Face datasets library, you can use the following code:

from datasets import load_dataset

# Load the dataset
dataset = load_dataset('mansoorhamidzadeh/sentiment')

# Access the train and test splits
train_dataset = dataset['train']
test_dataset = dataset['test']

# Example: Print the first sample
print(train_dataset[0])