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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01Seif-Eldeen-Sameh /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.audioautomatic-speech-recognition10K<n<100K1 likes119 downloads4mo agoHugging Face02devrahulbanjara /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.audioautomatic-speech-recognitionn<1K3 likes104 downloads7mo agoHugging Face03Panhapich /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.audioautomatic-speech-recognition1K<n<10K2 likes82 downloads1mo agoHugging Face04shangeth /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.tabulartext-to-speech10K<n<100K0 likes71 downloads5mo agoHugging Face05Atufa /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.audioautomatic-speech-recognitionn<1K0 likes60 downloads7mo agoHugging Face06shangeth /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.tabulartext-to-speech100K<n<1M0 likes55 downloads5mo agoHugging Face07shangeth /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.tabulartext-to-speech1M<n<10M0 likes48 downloads5mo agoHugging Face08shangeth /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.tabulartext-to-speech10K<n<100K1 likes35 downloads5mo agoHugging Face09WTFO /codeswitchinggated 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.audioautomatic-speech-recognition10K<n<100K0 likes8 downloads1mo agoHugging Face

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