datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.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.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.vocal-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.ljspeech-mimi-codes
LJSpeech — Mimi Codes
Pre-extracted Kyutai Mimi neural-codec tokens for the
LJSpeech corpus — 13,100 English utterances
from a single female speaker reading public-domain audiobook passages (~24 hours).
This dataset contains codes only, not audio. For waveforms, go to the original LJSpeech
release; these codes are designed to be loaded alongside it for training Mimi-based speech
models without paying the ~1 hour of GPU extraction cost.
Schema
One row per utterance:… See the full description on the dataset page: https://huggingface.co/datasets/shangeth/ljspeech-mimi-codes.khmer-english-codeswitch-tts-llm
Khmer–English Code-Switch Synthetic Speech (LLM-authored)
19,825 utterances / 21.7 hours of synthetic Khmer–English code-switched speech at
16 kHz, generated with VoxCPM2 from code-switch
sentences written by an LLM and validated programmatically.
⚠️ This is synthetic speech, not recordings of people. Every utterance was produced by a TTS
model, and every sentence was written by a language model — they are not transcripts of anything
a person said. It is intended as an… See the full description on the dataset page: https://huggingface.co/datasets/Panhapich/khmer-english-codeswitch-tts-llm.codeswitch-fr-en-kyutai-stt
Code-Switched French–English STT Probe Dataset
Dataset Summary
This dataset contains 10 audio clips of French–English code-switched speech, each designed as a strict probe targeting a distinct acoustic or linguistic failure axis of Kyutai STT (kyutai/stt-1b-en_fr-trfs) — a streaming bilingual speech-to-text model. Probes cover non-native phonology, fast speech rate, word-level and phrase-level code-switching, intrasentential switching, disfluency with switching, and… See the full description on the dataset page: https://huggingface.co/datasets/Atufa/codeswitch-fr-en-kyutai-stt.mls-mimi-codes
Multilingual LibriSpeech (MLS) — Mimi Codes
Pre-extracted Kyutai Mimi neural-codec tokens
for Multilingual LibriSpeech —
LibriVox audiobooks in 7 non-English languages.
English is intentionally excluded. For English Mimi codes, use:
shangeth/librispeech-mimi-codes — LibriSpeech (~280k rows, 7 splits)
shangeth/libritts-r-mimi-codes — LibriTTS-R (~360k rows, 7 splits, 24 kHz native)
shangeth/vctk-mimi-codes — VCTK (~44k rows, 110 speakers w/ accents)
shangeth/jenny-mimi-codes — Jenny… See the full description on the dataset page: https://huggingface.co/datasets/shangeth/mls-mimi-codes.gradrai-viva-codeswitch-benchmark
GradrAI Viva Code-Switched Oral Benchmark
Consented, de-identified classroom-style oral answer clips used to benchmark GradrAI Viva for the Sahara CodeSwitch Africa challenge.
Contents
metadata.csv / metadata.jsonl: one row per clip.
audio/: 16 kHz mono WAV files for Hugging Face dataset preview and ASR reuse.
audio_original/: original submitted browser/Opus/WebM audio files.
benchmark/: benchmark outputs (results.md, results.json) and manifest used by GradrAI… See the full description on the dataset page: https://huggingface.co/datasets/fiewor/gradrai-viva-codeswitch-benchmark.librispeech-mimi-codes
LibriSpeech — Mimi Codes
Pre-extracted Kyutai Mimi neural-codec tokens for the
LibriSpeech corpus — multi-speaker English audiobook readings
from the LibriVox project.
This dataset contains codes only, not audio. For waveforms, use any of the LibriSpeech
mirrors (e.g. openslr/librispeech_asr);
these codes let you skip the ~hours of GPU extraction needed to train Mimi-based speech models.
Schema
One row per utterance:
Column
Type
Notes
id
string… See the full description on the dataset page: https://huggingface.co/datasets/shangeth/librispeech-mimi-codes.kare-codeswitch-samples
Kare — Code-Switching Illustrative Samples
Eight short audio clips demonstrating the English/Yoruba/Hausa/Igbo/Pidgin
code-switching that Kare, a voice-first
AI health assistant for Nigeria, is built to understand — submitted as part
of Kare's entry to the Sahara CodeSwitch Africa Challenge.
What this is — and isn't
Is: eight original sentences, written by the Kare team specifically
for this demonstration, mixing everyday Yoruba / Hausa / Igbo / Nigerian
Pidgin… See the full description on the dataset page: https://huggingface.co/datasets/vikkyblacq/kare-codeswitch-samples.code-switch_chunks
Dataset Summary
This dataset is a curated compilation of SECoMiCSC, DevCECoMiCSC, and BAAI/CS-Dialogue, specifically processed for Code-Switching ASR research.
root/
├── audio/
│ ├── SECoMiCSC/ # Chunked segments from SECoMiCSC
│ ├── DevCECoMiCSC/ # Chunked segments from DevCECoMiCSC
│ └── CS_Dialogue/ # Extracted <MIX> segments from BAAI/CS-Dialogue
├── metadata.jsonl # Universal index containing paths, transcripts, and metadata
└──… See the full description on the dataset page: https://huggingface.co/datasets/1uckyan/code-switch_chunks.switchboard-tierb-codeswitch
SwitchBoard Tier B — African code-switched speech
87 consented utterances of intra-sentential code-switching — Nigerian Pidgin,
Yorùbá, Hausa and Kiswahili each mixed with English inside a single sentence —
recorded from 8 bilingual volunteers at the Deep Learning Indaba 2026, Lagos.
Collected for the MLC (Africa) × Intron Agentic Voice AI Challenge as an
evaluation set for telco/fintech voice agents. 8.75 minutes total.
What this is for
Measuring whether a speech… See the full description on the dataset page: https://huggingface.co/datasets/mosesdaudu/switchboard-tierb-codeswitch.hindi-english-codeswitch-dataset
Hindi-English Code-Switch ASR Transcripts
Text transcripts and metadata for a large bilingual Hindi-English code-switch ASR training corpus, used to train Abhisingh-18/hindi-english-codeswitch-asr.
This release contains transcripts and metadata only — no audio files. Audio was sourced from multiple corpora and institutions and is not redistributed here.
Credits
Speech data collection and curation credit: SPRING Lab, IIT Madras.
Contents
File… See the full description on the dataset page: https://huggingface.co/datasets/Abhisingh-18/hindi-english-codeswitch-dataset.expresso-mimi-codes
Expresso — Mimi Codes (k = 32)
Pre-extracted Kyutai Mimi tokens (all 32 codebooks) for both the read and conversational subsets of Expresso. Source audio + transcripts live in shangeth/expresso; this dataset publishes the discrete-token version for training Mimi-based speech models without re-extracting.
⚠️ License: CC-BY-NC-4.0 — non-commercial use only.
Why Expresso for Wren?
Expresso is the most directly relevant dataset for speech disentanglement research — the… See the full description on the dataset page: https://huggingface.co/datasets/shangeth/expresso-mimi-codes.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.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.sugidanon-hil-codeswitch
Sugidanon 🎙️ — Code-Switch Hiligaynon Speech Benchmark
The first openly-licensed, code-switch-labeled speech benchmark for Hiligaynon
(Ilonggo) — a language spoken by 9M+ Filipinos yet nearly invisible to modern
speech technology.
· Code: https://github.com/Jazztinn/tinig-sa-liwanag
· License: CC BY 4.0
Real Hiligaynon-English-Tagalog speech, labeled per word, with a scorer that
measures what generic models miss: accuracy at the moment the language… See the full description on the dataset page: https://huggingface.co/datasets/LauelKills/sugidanon-hil-codeswitch.