Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
Persian
Size:
10K - 100K
License:
File size: 1,119 Bytes
b456c5e f95caed b456c5e f95caed |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
---
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:
```python
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]) |