---
license: odbl
task_categories:
- text-classification
language:
- fa
pretty_name: Persian Tweets - Sentiment Analysis
---
# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->

This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->

This dataset contains more than 3300 Persian tweets, crawled from X.com
Each tweet is assigned a label, which is a number between 0 to 4.
Label 0 indicates the sentiment of Happiness and Joy.
Label 1 indicates the sentiment of Sadness.
Label 2 indicates the sentiment of Anger and Furiosity.
Label 3 indicates the sentiment of Neutral.
And finally, label 4 indicates the sentiment of intense emotions, such as Surprise, Fear, and Love.



- **Curated by:** Mohammadali Mohammadkhani - Sina Elahimanesh
- **Funded by :** Mohammadali Mohammadkhani - Sina Elahimanesh
- **Language(s) (NLP):** Persian
- **License:** odbl

### Direct Use

#### Transformers Dataset
```python
from datasets import load_dataset

# Login using e.g. `huggingface-cli login` to access this dataset
ds = load_dataset("moali-mkh-2000/PersianTwitterDataset-SentimentAnalysis")
```

#### Pandas
```python
import pandas as pd

# Login using e.g. `huggingface-cli login` to access this dataset
df = pd.read_csv("hf://datasets/moali-mkh-2000/PersianTwitterDataset-SentimentAnalysis/PersianTwitterDataset.csv")
```

## Dataset Creation

### Source Data

Tweets are extracted from Persian-speaking accounts of X community.

#### Who are the annotators?

Mohammadali Mohammadkhani - Sina Elahimanesh

#### Privacy and Ethical Concerns

The tweets are collected from public accounts (at the time of dataset creation). We made sure to address all privacy concerns in the process of creating this dataset.

## Citation

**BibTeX:**

```
@misc{elahimanesh2025emotionalignmentdiscoveringgap,
      title={Emotion Alignment: Discovering the Gap Between Social Media and Real-World Sentiments in Persian Tweets and Images}, 
      author={Sina Elahimanesh and Mohammadali Mohammadkhani and Shohreh Kasaei},
      year={2025},
      eprint={2504.10662},
      archivePrefix={arXiv},
      primaryClass={cs.HC},
      url={https://arxiv.org/abs/2504.10662}, 
}
```