---
license: mit
task_categories:
- text-generation
language:
- fa
tags:
- nlp
- telegram
- conversation
size_categories:
- 10K<n<100K
---

# TeenTalkIR Dataset

## Overview
The TeenTalkIR dataset contains conversations in Persian (Farsi) among teenagers in Telegram groups. It captures the natural, informal, and dynamic interactions of Iranian youth, reflecting their language, slang, and cultural nuances in a digital social setting.

## Purpose
This dataset is designed for researchers, linguists, and developers interested in studying Persian youth culture, conversational patterns, slang evolution, or building NLP models for informal Persian text analysis.

## Content

- Language: Persian (Farsi)
- Platform: Telegram
- Demographic: Teenagers (primarily 13–19 years old)
- Format: Text-based conversations (anonymized to protect privacy)
- Topics: General youth discussions, including school, pop culture, relationships, and daily life

## Usage

Suitable for natural language processing (NLP) tasks such as sentiment analysis, topic modeling, or chatbot development.
Useful for sociolinguistic studies on Persian youth communication and slang.
Can be used to train language models for informal Persian text.

## Notes

All data is anonymized to ensure privacy.
The dataset reflects real-world, unfiltered teenage conversations, which may include slang, colloquialisms, and informal language.
Please respect ethical guidelines when using this dataset for research or development.