| --- |
| 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 . |
