datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
saudi-english-code-switching-datasetGhana_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.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.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.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.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.english-x-code-switching
Synthetic English Code-Switching Evaluation Set
This dataset contains synthetic long-form English code-switching audio samples built from ML-SUPERB hybrid data.
Each mixed sample combines English with exactly one additional language. Durations are randomly drawn between 5 and 15 minutes, and each sample contains one or two code switches. The random seed is stored per row.
Each selected utterance chunk is RMS-normalized to -20.0 dBFS before concatenation, with peak limiting at 0.99.… See the full description on the dataset page: https://huggingface.co/datasets/BrunoHays/english-x-code-switching.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.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.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.Ghana_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.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.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.ASR_En_Ar_CodeSwitchingenglish-x-code-switching-samples
Synthetic English Code-Switching Evaluation Set Samples
This dataset contains the individual normalized utterance chunks used to build the paired mixed dataset.
Each mixed sample combines English with exactly one additional language. Durations are randomly drawn between 5 and 15 minutes, and each sample contains one or two code switches. The random seed is stored per row.
Each selected utterance chunk is RMS-normalized to -20.0 dBFS before concatenation, with peak limiting at 0.99.… See the full description on the dataset page: https://huggingface.co/datasets/BrunoHays/english-x-code-switching-samples.CodeSwitchingSpeechIdentification_ASCENDenglish-en-x-code-switching-main-lang-samples-merged
English EN-X Code-Switching Main-Language Merged Samples
This dataset contains contiguous same-language segments from the paired mixed dataset.
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-samples-merged.Code-Switching_English-Hindi_Syntheticcodeswitching
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-TestCodeSwitchingSemanticGrammarAcceptabilityComparison_CSZS-zh-enenglish-en-x-code-switching-main-lang-samples
English EN-X Code-Switching Main-Language Samples
This dataset contains the individual full FLEURS utterance chunks used to build the paired mixed dataset.
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… See the full description on the dataset page: https://huggingface.co/datasets/BrunoHays/english-en-x-code-switching-main-lang-samples.