datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ASR_Code_Switch
ASR Code-Switching Benchmark
A curated benchmark of 1,200 code-switching utterances (300 per language pair)
for evaluating commercial ASR systems on multilingual speech with intra-sentential
language switching.
Paper
Benchmarking Commercial ASR Systems on Code-Switching Speech: Arabic, Persian, and German
arXiv link
Language pairs
Split
Language pair
Samples
Scripts
egyptian_arabic_english
Egyptian Arabic–English
300
Arabic + Latin… See the full description on the dataset page: https://huggingface.co/datasets/Perle-ai/ASR_Code_Switch.arabic-dialects-gold20-code-switch
gold20-code-switch
Code-switched Arabic sentences with IPA: 20 rows per lect across 33 Arabic
lects (the same roster as the sibling TigreGotico/arabic-dialects-gold20).
Each row embeds foreign material in a dialectal Arabic frame: inline
Latin-script English (and French, for the lects whose live contact language
is French), Arabic-script loanwords (سيرفس، كاش، موبايل-class), and Arabizi
(Latin-written Arabic with digit gutturals).
Columns (TSV, UTF-8, one file per lect):
id… See the full description on the dataset page: https://huggingface.co/datasets/TigreGotico/arabic-dialects-gold20-code-switch.Ghana_English-Twi_Code-switching_Speech
Dataset Card for KasaSpeech
Dataset Summary
KasaSpeech is a large-scale English–Twi code-switching speech dataset developed to advance research in speech technologies for English and Twi.
The dataset comprises 54,855 transcribed speech recordings collected from speakers across Ghana and is designed to capture natural code-switching between English and Twi across a diverse range of everyday topics and communication scenarios
With over 95 hours of manually… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/Ghana_English-Twi_Code-switching_Speech.Ghana_English-Twi_Code-switching_Speech
Dataset Card for KasaSpeech
Dataset Summary
KasaSpeech is a large-scale English–Twi code-switching speech dataset developed to advance research in speech technologies for English and Twi.
The dataset comprises 54,855 transcribed speech recordings collected from speakers across Ghana and is designed to capture natural code-switching between English and Twi across a diverse range of everyday topics and communication scenarios
With over 95 hours of manually… See the full description on the dataset page: https://huggingface.co/datasets/Kennethdot/Ghana_English-Twi_Code-switching_Speech.cafe-algerian-codeswitch-speech
CAFE Algerian Codeswitch Speech
This dataset contains Algerian Arabic and French code-switched speech.
Repository Path: FatimahEmadEldin/cafe-algerian-codeswitch-speech
arabic-english-code-switching
Thanks to ahmedheakl/arzen-llm-speech-ds as this dataset was built upon it ✨
The dataset was constructed using ahmed's dataset and different videos from the youtube. The scraped data doubled the initial dataset size after deduplication and cleaning.
Citation
If you use this dataset, please cite it as follows:
@misc{rashad2024arabic,
author = {Mohamed Rashad},
title = {arabic-english-code-switching},
year = {2024},
publisher = {Hugging Face},
url =… See the full description on the dataset page: https://huggingface.co/datasets/MohamedRashad/arabic-english-code-switching.ko_commongen_v2_code_switching
🇰🇷🇺🇸🇯🇵🇨🇳🇪🇸 KoCommonGEN v2 Code-switching
This KoCommonGEN v2 Code-switching dataset consists of 99 samples for numerical commonsense reasoning, which were created relying on machine translation.
The dataset can be found on Hugging Face at: nlpai-lab/ko_commongen_v2_code_switching
This dataset contains code-switching data for the following languages:
Korean (korean)
English (english)
Japanese (japan)
Chinese (china)
Spanish (espanol)
(The code-switching data relies on… See the full description on the dataset page: https://huggingface.co/datasets/nlpai-lab/ko_commongen_v2_code_switching.code-switching-asrIf the samples in the dataset viewer don't load, they can also be accessed here.
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.asr_codeswitchedvocal-money-codeswitch-asr-benchmark
Vocal Money — Yoruba–English Code-Switched ASR Benchmark
A 210-clip evaluation subset used to benchmark five speech recognition systems on naturally
code-switched Yoruba–English speech, together with the reference transcriptions and the output of
every system on every clip, so that the published results can be recomputed or contradicted.
Produced for the MLC (Africa) × Intron Agentic Voice AI Challenge, Deep Learning Indaba 2026.
Team Vocal Money — Hospice Hounfodji, Mohamed… See the full description on the dataset page: https://huggingface.co/datasets/Kimyayd/vocal-money-codeswitch-asr-benchmark.asr_codeswitched_dataset
Arabic/English Code-Switched ASR Dataset
Audio + transcripts of code-switched Egyptian Arabic and English speech, assembled to
fine-tune ASR for Arab-world lecture content where dialectal Arabic and English technical
vocabulary alternate within sentences.
Composition
Source
Description
EJUST custom recordings
Locally recorded/segmented code-switched clips (segments_codeswitched.csv + WAVs)
MohamedRashad/arabic-english-code-switching
~12,480 public… See the full description on the dataset page: https://huggingface.co/datasets/Seif-Eldeen-Sameh/asr_codeswitched_dataset.arabic-english-code-switching-synthetic-asr
Synthetic Arabic-English Code-Switched Speech for ASR
This dataset contains synthetic speech generated for Egyptian Arabic-English code-switched automatic speech recognition. It is published separately from the human review annotations so the human audio remains in its upstream Hugging Face repository.
Configurations
Configuration
Train
Test
Publication status
synthetic
8,655
962
Contains 5,673 ArE-CSTD-derived texts; noncommercial/share-alike terms… See the full description on the dataset page: https://huggingface.co/datasets/abdo1819/arabic-english-code-switching-synthetic-asr.id-en-codeswitch-dataset-alternative
Indonesian–English Code-Switching Synthetic Speech Dataset
Synthetic speech generated for the undergraduate final project "Handling
Code-Switching in Automatic Speech Recognition for Low-Resource Language
Pairs: An Indonesian–English Case Study", School of Electrical Engineering
and Informatics, Institut Teknologi Bandung.
This dataset contains synthetic audio produced from the Indonesian–English
code-switching text corpora released in the companion repository below. It
was used… See the full description on the dataset page: https://huggingface.co/datasets/shulhaaja/id-en-codeswitch-dataset-alternative.pragmatic-code-switch-blindspot
Pragmatic Blind Spots Under Roman Urdu Framing
Question 1: the blind spot
The central blind spot in multilingual evaluation is that models frequently lose pragmatic and social meaning under Roman Urdu framing, even when they understand the individual words. I write in Roman Urdu myself, and I regularly see language models misunderstand the intended meaning in everyday exchanges. While standard multilingual benchmarks evaluate formal Perso-Arabic Urdu script or… See the full description on the dataset page: https://huggingface.co/datasets/rshahbaz/pragmatic-code-switch-blindspot.Korean-Japanese-Code-Switching-Speech
Korean-Japanese-Code-Switching-Speech
This dataset contains Korean-Japanese code-switching speech recordings with sentence-level transcriptions. It was introduced in the paper Towards Truly Multilingual ASR: Generalizing Code-Switching ASR to Unseen Language Pairs.
Since there is an extremely small amount of Korean-Japanese code-switching data available, this dataset was designed to be used as a small-scale evaluation dataset.
The dataset consists of code-switching recordings… See the full description on the dataset page: https://huggingface.co/datasets/thetaone-ai/Korean-Japanese-Code-Switching-Speech.code_switch_yodas_zh
Dataset Card for code-switching yodas
This dataset is derived from espnet/yodas, more details can be found here: https://huggingface.co/datasets/espnet/yodas
This is a subset of the zh000 subset of espnet/yodas dataset, which selects videos with Mandarin-English code-switching phenomenon.
Note that code-switching is only gauranteed per video rather than per utterance. Therefore, not every utterance in the dataset contains code-switching.
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/georgechang8/code_switch_yodas_zh.fleurs_code_switching_test
FLEURS Code-Switching Evaluation Set
Dataset Summary
This dataset is a synthetic code-switching evaluation set built from the google/fleurs corpus.Each sample is a single long-form audio sequence (minimum 5 minutes by default) composed by concatenating short utterances from multiple languages.
The goal is to provide a controlled benchmark for testing ASR robustness when language switches happen frequently inside one recording.
How The Dataset Was Curated… See the full description on the dataset page: https://huggingface.co/datasets/BrunoHays/fleurs_code_switching_test.Ghana_English-Twi_Code-switching_Speech
Dataset Card for KasaSpeech
Dataset Summary
KasaSpeech is a large-scale English–Twi code-switching speech dataset developed to advance research in speech technologies for English and Twi.
The dataset comprises 54,855 transcribed speech recordings collected from speakers across Ghana and is designed to capture natural code-switching between English and Twi across a diverse range of everyday topics and communication scenarios
With over 95 hours of manually… See the full description on the dataset page: https://huggingface.co/datasets/ghananlpcommunity/Ghana_English-Twi_Code-switching_Speech.kazakh-codeswitch-asr
Kazakh Code-Switching ASR Benchmark
A benchmark for evaluating ASR systems on natural Kazakh speech that
code-switches with Russian — the everyday Kazakh–Russian mixing found in
stand-up, interviews and vlogs, not scripted read speech. This is, to our
knowledge, the first speech/ASR resource targeting the Kazakh–Russian
code-switching pair (existing Kazakh–Russian NLP resources are text-only).
Code, scoring harness and full analysis:… See the full description on the dataset page: https://huggingface.co/datasets/Tim2190/kazakh-codeswitch-asr.khmer-english-codeswitch-tts
Khmer–English Code-Switch Synthetic Speech
8,177 utterances / 15.9 hours of synthetic Khmer–English code-switched speech,
generated with VoxCPM2 from code-switch text
manufactured by confirmed lexical substitution over a Khmer–English parallel corpus.
⚠️ This is synthetic speech, not recordings of people. Every utterance was produced by a
TTS model, and the code-switch sentences were manufactured by word substitution — they are not
transcripts of anything a person said. It is… See the full description on the dataset page: https://huggingface.co/datasets/Panhapich/khmer-english-codeswitch-tts.neuromoyo-sahara-codeswitch-benchmark
NEUROMOYO — Sahara CodeSwitch Africa Benchmark
🔗 Live Benchmark Results
Interactive benchmark:
https://www.neuromoyo.app/benchmark
This page presents the benchmark results, methodology, model comparisons, robustness analyses, reproducibility information, and limitations for the NEUROMOYO evaluation on African code-switched speech.
🚀 Live NEUROMOYO Demo
Live application:
https://www.neuromoyo.app
The live NEUROMOYO application demonstrates the… See the full description on the dataset page: https://huggingface.co/datasets/prokelly/neuromoyo-sahara-codeswitch-benchmark.saudi-english-code-switching-datasetquestion-answerGhana_English-Twi_Code-switching_Speech-ipa
KasaSpeech English–Twi Code-Switching Speech — IPA
A phonemised version of
ghananlpcommunity/Ghana_English-Twi_Code-switching_Speech
(KasaSpeech) with one added column: ipa.
Every other column — audio included — is carried over byte-for-byte, and row
order is unchanged, so this dataset aligns one-to-one with the original.
The ipa column
Each transcript is converted to a phoneme sequence with
ghanag2p-uni, the Twi-only
grapheme-to-phoneme library built on
ghana-g2p… See the full description on the dataset page: https://huggingface.co/datasets/ghananlpcommunity/Ghana_English-Twi_Code-switching_Speech-ipa.text-summarizationAr-En-Code-Switching-Textual-Dataset
ArE-CSTD: Arabic-English Code-Switching Textual Dataset
The National Center for Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA), published the "ArE-CSTD" dataset, which stands for "Arabic-English Code-Switching Textual Dataset”.
This dataset contains 330K dialectical Arabic-English code-swithing sentences generated by the large language model GPT-4.
TXT Files
There are 6 txt files. 2 files for Modern Standard Arabic(MSA) train and… See the full description on the dataset page: https://huggingface.co/datasets/SDAIANCAI/Ar-En-Code-Switching-Textual-Dataset.ne-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.english-en-x-code-switching-main-lang
English EN-X Code-Switching Main-Language
This dataset contains synthetic English-plus-one-language code-switching samples built from FLEURS.
Source data is google/fleurs at revision refs/convert/parquet, split test, resampled to 16000 Hz. The generator uses seed 42 and creates 50 mixed samples. Each mixed sample contains English and exactly one of Spanish, Portuguese, French, German, or Italian, sampled uniformly.
Each selected utterance is RMS-normalized to -20.0 dBFS before… See the full description on the dataset page: https://huggingface.co/datasets/BrunoHays/english-en-x-code-switching-main-lang.codeswitch-pairs-lase
Codeswitch Pairs LASE — training corpus
1118 same-voice cross-script utterance pairs (8 ElevenLabs Multilingual voices × en/hi/te/ta) used to train the LASE r1 speaker encoder.
Each row is one synthesized utterance with metadata; pairs are reconstructed at evaluation time by joining on voice_id (same voice, different script = cross-script pair).
Schema (manifest.jsonl)
{
"voice_id": "21m00Tcm4TlvDq8ikWAM",
"lang": "en | hi | te | ta",
"text": "the prompt text"… See the full description on the dataset page: https://huggingface.co/datasets/Praxel/codeswitch-pairs-lase.