datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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Code-Switching ASR
Code-switching ASR is a speech dataset of code-switching between English and medium to low resource languages. Samples include en-sw, en-pcm, en-yo, and en-tl but we can deliver any of the languages listed here: https://huggingface.co/datasets/liva-ai/yapdo-convo (the hours have yet to be updated as of 07/14/2026 as we have much higher volume now - and we can easily collect more… See the full description on the dataset page: https://huggingface.co/datasets/liva-ai/code-switching-asr.code-switching-tokenizer-robustness
Code-Switching Dataset for Tokenizer Robustness Analysis
Dataset Description
This dataset is designed for tokenizer robustness testing in multilingual and code-switching contexts. It contains identical content expressed across 16 different language variants, including pure English and 15 English-X code-switching pairs, allowing researchers to isolate tokenization effects from semantic differences when evaluating language models.
Purpose
Tokenizer Comparison:… See the full description on the dataset page: https://huggingface.co/datasets/Malikeh1375/code-switching-tokenizer-robustness.question-answertext-summarizationne-en-codeswitching-asr-technical-interview
Dataset Summary
This dataset contains audio recordings and text transcripts of Nepali-English code-switched speech in the context of technical interviews. It is specifically designed to handle the linguistic complexities of Nepali software engineers, developers, and IT professionals who frequently mix English technical terminology (e.g., AWS, S3 lifecycle policies, RAG pipelines, VPC peering) with conversational Nepali grammar.
It is an excellent resource for fine-tuning ASR models… See the full description on the dataset page: https://huggingface.co/datasets/devrahulbanjara/ne-en-codeswitching-asr-technical-interview.naturalnessMoroccan-Codeswitching
Moroccan Darija Code-Switched Corpus (Sentence-level TSV)
Dataset Summary
This dataset contains sentence/post-level code-switched Moroccan Darija text with a single label per text unit. It is intended to support NLP research on Moroccan Darija (Darija), an under-resourced Arabic variety, and on sentence-level code-switching / language identification in Moroccan online text.
Languages
The corpus may contain Moroccan Darija (often ary) and code-switching with:… See the full description on the dataset page: https://huggingface.co/datasets/samihyounes/Moroccan-Codeswitching.topic-classificationCode-Switching-Testafrican-codeswitching
Pan-African Code-Switching Dataset
Built with Adaptive Data by Adaption | Crane AI Labs
Submitted to the Uncharted Data Challenge 2026 by Adaption Labs
Overview
The first open-source, richly-annotated pan-African code-switching dataset covering authentic language mixing patterns across 4 African regions — East Africa, South Africa, and West Africa — in 10 distinct language-pair configurations.
Code-switching (mixing two or more languages in a single utterance) is how… See the full description on the dataset page: https://huggingface.co/datasets/gimmy256/african-codeswitching.CodeSwitchingSpeechIdentification_ASCENDcode-switching-codesaviours-si26-humna
Code Switching NLP Dataset — Code Saviours SI-26, Humna Imran
Word-level labeled dataset of naturally code-switched Roman Urdu + English
sentences, as commonly written by Pakistani social media users.
What it is
220 sentences (2,490 word-level rows). Each word is labeled URD (Roman Urdu),
ENG (English), or MIX (hybrid token, e.g. hyphenated compounds).
How it was built
Source sentences come from Smat26/Roman-Urdu-Dataset (GitHub), a public… See the full description on the dataset page: https://huggingface.co/datasets/hamnaheh/code-switching-codesaviours-si26-humna.CodeSwitchingSemanticGrammarAcceptabilityComparison_CSZS-zh-encode-switching-codesaviours-si26-hamzaASR_En_Ar_CodeSwitchingcode-switching-codesaviours-si26-Uswa
Code-Switching Dataset: Roman Urdu ↔ English (Pakistan)
Dataset Description
This dataset contains 191 naturally code-switched Roman Urdu–English sentences** (well above
the 150 minimum) blending Roman Urdu and English, the way Pakistani
speakers actually write online. Every word in every sentence is labelled at
the token level, making this a word-level sequence labelling / language
identification dataset for code-switched text.
Roman Urdu–English mixing is… See the full description on the dataset page: https://huggingface.co/datasets/122Uswa/code-switching-codesaviours-si26-Uswa.code-switching-codesaviours-si26-kashafcode-switching-codesaviours-si26-muhammadahmad
Code-Switching Codesaviours SI26 — Muhammad Ahmad
Dataset Description
This dataset contains 155 naturally occurring Roman Urdu–English
code-switched sentences (1,400+ word-level entries), reflecting how
Roman Urdu and English are mixed in everyday informal communication by
Pakistani speakers online (Twitter/X, WhatsApp, YouTube comments, Reddit).
Code-switching — alternating between two or more languages within a single
sentence or conversation — is extremely… See the full description on the dataset page: https://huggingface.co/datasets/Muhammad-Ahmad-1263/code-switching-codesaviours-si26-muhammadahmad.code-switching-codesaviours-si26-Moazam
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… See the full description on the dataset page: https://huggingface.co/datasets/Moazamzf/code-switching-codesaviours-si26-Moazam.code-switching-codesaviours-si26-MuhammadHassaan
Roman Urdu-English Code-Switching Dataset
Description
This dataset contains 150 sentences that mix Roman Urdu and English.
The purpose of this dataset is to study code-switching between Roman Urdu and English.
Labels
URD: Roman Urdu word
ENG: English word
MIX: Mixed or unclear word
Dataset Format
Each row contains:
sentence
word
label
Collection
The sentences were prepared as natural Roman Urdu-English… See the full description on the dataset page: https://huggingface.co/datasets/Hassaanatif992/code-switching-codesaviours-si26-MuhammadHassaan.code-switching-codesaviours-si26-bilal
Roman Urdu-English Code Switching Dataset
Dataset Description
A manually labeled dataset of 160+ code-switching sentences where Roman Urdu and English are naturally mixed — reflecting how 230 million Pakistanis actually communicate online.
Each word in every sentence is tagged with a language label, making this dataset suitable for token-level language identification and code-switching NLP research.
Label Meanings
Label
Description
Examples… See the full description on the dataset page: https://huggingface.co/datasets/Noisy77/code-switching-codesaviours-si26-bilal.code-switching-codesaviours-si26-qandeel
Code Switching NLP Dataset | Code Saviours SI-26
Dataset Description
A word-level labelled Roman Urdu–English code-switching dataset (200 sentences,
3182 word entries). Labels: URD (Roman Urdu), ENG (English), MIX (nativized loanword).
Source
Sentences filtered from the Roman Urdu Data Set (Sharf, 2017, UCI ML Repository,
CC BY 4.0), originally collected from e-commerce reviews, Facebook comments, and
Twitter posts. Filtered for genuine… See the full description on the dataset page: https://huggingface.co/datasets/qandeelasim13/code-switching-codesaviours-si26-qandeel.code-switching-codesaviours-si26-zainab
Roman Urdu–English Code-Switching Dataset
Dataset Description
This dataset contains 1,901 sentences and 21,370 word-level language labels, built to capture how Roman Urdu and English are naturally mixed together in everyday Pakistani online communication.
Code-switching — blending two languages within a single sentence — is how the vast majority of Pakistanis actually write and speak online, on platforms like Twitter/X, Facebook, YouTube, Reddit, and WhatsApp. A… See the full description on the dataset page: https://huggingface.co/datasets/Zainab-Binte-Khalid/code-switching-codesaviours-si26-zainab.code-switching-codesaviours-si26-saima
Code-Switching Urdu-English Dataset
Dataset Description
This dataset is created for Urdu-English code-switching language identification. It contains sentences that include Urdu words, English words, and a small number of mixed-language entries.
The dataset was prepared by collecting and organizing code-switched Urdu-English sentences. Each sentence was divided into individual words, and every word was assigned a language label. The data was then converted into a… See the full description on the dataset page: https://huggingface.co/datasets/Saima-Manzoor/code-switching-codesaviours-si26-saima.code-switching-codesaviours-si26-maryam
Roman Urdu & English Code-Switching Dataset
Description
This dataset contains 152 real-world sentences where users naturally mix Roman Urdu and English. It was built to train models to handle how 230 million Pakistanis actually communicate online.
Data Collection
The raw text was scraped directly from natural conversations on Pakistani Twitter/X and anonymized WhatsApp messages.
Label Meanings
Every single word in this dataset has… See the full description on the dataset page: https://huggingface.co/datasets/Maryam657775/code-switching-codesaviours-si26-maryam.code-switching-codesaviours-si26-qadeesanoorDataset Summary
This dataset contains Roman Urdu–English code-switched sentences, the way mixed-language text actually gets written in everyday Pakistani texting, tweeting, and casual conversation (e.g. "Aaj ka din bohot busy tha, had 3 meetings back to back"). Each sentence is broken down word-by-word, and every word is tagged with a language label. No existing Roman Urdu NLP resource handles this kind of within-sentence language mixing well — this dataset is a step toward building tools… See the full description on the dataset page: https://huggingface.co/datasets/qadeesanoor/code-switching-codesaviours-si26-qadeesanoor.code-switching-codesaviours-si26-samaika
Code Switching NLP | Code Saviours SI-26 | Samaika
About the Dataset
This dataset contains Roman Urdu and English code-switching sentences collected from social media comments and online content.
The purpose of this dataset is to represent the way Pakistani users naturally mix Roman Urdu and English while communicating online.
Data Collection
The sentences were collected from:
Instagram comments
YouTube comments
Twitter/X
The collected sentences… See the full description on the dataset page: https://huggingface.co/datasets/samaikaimran/code-switching-codesaviours-si26-samaika.codeswitching
WTFO Code-Switching Speech
Code-switching speech dataset prepared for automatic speech recognition training.
Dataset fields
audio: self-contained 16 kHz mono PCM16 FLAC bytes using the Hugging Face Audio feature
text: transcript
duration: audio duration in seconds (float64)
Split summary
Split: train
Examples: 98,662
Total duration: 567422.698 seconds (157.62 hours)
The Parquet shards embed the audio bytes. They do not depend on the original… See the full description on the dataset page: https://huggingface.co/datasets/WTFO/codeswitching.Code_switching
🇰🇿 Kazakh-Russian Code-Switching Normalization Dataset
Dataset Summary
Kazakh-Russian Code-Switching Normalization Dataset is a bilingual instruction-following dataset designed for identifying and rewriting Kazakh-Russian mixed-language text into clean Kazakh.
The dataset focuses on informal communication, where Kazakh speakers may naturally mix Russian and Kazakh in one message. Each sample contains a prompt with code-switching, a response that identifies the… See the full description on the dataset page: https://huggingface.co/datasets/farabi-lab/Code_switching.code-switching-codesaviours-si26-Maryam
Code-Switching Dataset — Roman Urdu / English
Dataset Description
This dataset contains naturally occurring code-switched sentences that mix Roman Urdu and English, the way Pakistani speakers commonly write in everyday digital communication (texts, tweets, comments). Each sentence is broken down word-by-word, with every word labeled by language.
Total sentences: 150
Total labeled word entries: ~1,478
Format: flat CSV — one row per word, with the parent sentence… See the full description on the dataset page: https://huggingface.co/datasets/Maryam12256/code-switching-codesaviours-si26-Maryam.