---
license: mit
language:
- ur
- en
tags:
- code-switching
- roman-urdu
- nlp
- text-classification
---

# Roman Urdu-English Code-Switching Dataset

## Description
This dataset contains naturally occurring Roman Urdu / English code-switched sentences,
collected to reflect how Pakistani speakers actually communicate online — mixing
Roman Urdu and English within the same sentence (e.g. "Aaj mera mood nahi hai for anything").

Each sentence is broken down word-by-word, with every word labeled by language.

## Collection Method
Sentences were collected from a mix of sources including Pakistani Twitter/X,
Reddit (r/pakistan), YouTube comments on Pakistani videos, and manually written
examples reflecting common everyday code-switching patterns. Personal or
identifying information was removed from any message-based sources.

## Labels
Each word in a sentence is labeled as one of:
- **URD** — Roman Urdu word
- **ENG** — English word
- **MIX** — Hybrid/blended word combining both languages

## Format
The dataset is provided as a flat CSV with three columns:
- `sentence` — the full original sentence
- `word` — an individual word from that sentence
- `label` — the language label for that word (URD / ENG / MIX)

## Use Cases
This dataset can be used for code-switching detection, language identification,
and NLP research on low-resource, informal, mixed-language text — a common but
underrepresented pattern in South Asian digital communication.

## Author
Collected as part of Project 2 for the Code Saviours ML/AI Internship (Batch SI-26) Moazam .