datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
WolBanking77Intent classification models have made a lot of progress in recent years. However, previous studies primarily focus on high-resource languages datasets, which results in a gap for low-resource languages and for regions with a high rate of illiterate people where languages are more spoken than read or written. This is the case in Senegal, for example, where Wolof is spoken by around 90% of the population, with an illiteracy rate of 42% for the country. Wolof is actually spoken by more than 10… See the full description on the dataset page: https://huggingface.co/datasets/karim155/WolBanking77.open-ko-s2s-eval-artifacts
Open Ko-S2S 평가 산출물 (감사용)
⚠️ KsponSpeech 참조 전사는 해시로 대체돼 있습니다
KsponSpeech 는 AI Hub 배포 데이터로 재배포 제한이 있을 수 있어, kspon 런의
ref 컬럼을 ref_sha256 으로 대체했습니다(전사 원문 미포함). 모델 출력(hyp)과
채점 결과(cer_err/cer_len/cer)는 우리 산출물이라 그대로 공개합니다.
Zeroth 런은 원본이 CC BY 4.0(OpenSLR #40)이라
ref 원문을 그대로 담고 있습니다.
라이선스 보유자의 검증 절차
AI Hub 에서 KsponSpeech 를 정당하게 받은 분은 다음으로 우리 수치를 검증할 수 있습니다.
리더보드 저장소의 eval/datasets_ko.py 에서 clean_kspon() 을 가져옵니다.
자기 사본의 원 전사에 clean_kspon() 을 적용합니다. 결과가 목록이면… See the full description on the dataset page: https://huggingface.co/datasets/baryonlabs/open-ko-s2s-eval-artifacts.central-kurdish-tts4all
TTS4All Central Kurdish Speech Dataset
Dataset Summary
The TTS4All Central Kurdish Speech Dataset is a multi-speaker speech corpus developed for speech synthesis and speech technology research in Central Kurdish (Sorani Kurdish).
The dataset was created within the TTS4All initiative during the JSALT 2025 Workshop and provides more than 35 hours of transcribed speech from three native Central Kurdish speakers.
The corpus was designed to support:
Text-to-Speech… See the full description on the dataset page: https://huggingface.co/datasets/aranemini/central-kurdish-tts4all.knesset-plenums
About
This dataset is derived from raw a/v recordings and human-generated protocols of the Knesset (the Israeli house of representatives) plenums as part of the ivrit.ai project.
Consider visiting the preview space for this dataset here
Method
Data dumps from the Knesset contain A/V recordings, alongside proprietary protocols with timestamps.
We extract the audio stream, and clean up timestamp mistakes (such as backward jumps, or out-of-order timestamp artifacts).
The… See the full description on the dataset page: https://huggingface.co/datasets/ivrit-ai/knesset-plenums.Shinekhen-BuryatAudio collected by Yamakoshi (Tokyo University of Foreign Studies), originally uploaded here (CC BY-SA 4.0).
start_time and end_time are from the original audio clips; the audio uploaded here are already converted into per-sentence audio clips.
Used in [paper] [GitHub]
Swedia-ASR-Dataset
Swedia ASR Dataset
This repository contains a small Swedish ASR evaluation dataset based on speech
transcriptions from Swedia 2000. It was assembled to compare automatic
speech-recognition output against manually corrected reference transcriptions
for Swedish dialectal speech.
The dataset is useful for quick experiments with Swedish ASR systems, especially
when you want to inspect recognition quality on spontaneous speech from
different regions, speakers, ages, and genders.… See the full description on the dataset page: https://huggingface.co/datasets/kvest/Swedia-ASR-Dataset.human-robot-conversation-korean
Human-Robot Conversation Dataset (Korean) - 660+ Hours
Dataset (Korean) contains 660+ hours of audio featuring dialogues between AI and a human in German across 20,000 recordings. The dataset supports conversational AI, speech recognition, and human-robot interaction research, with short M4A audio files (up to 2 minutes) and structured metadata for model training. - Get the data
Dataset characteristics:
Characteristic
Data
Description
Audio of dialogues between AI… See the full description on the dataset page: https://huggingface.co/datasets/ud-nlp/human-robot-conversation-korean.human-robot-conversation-korean
Human-Robot Dataset
The dataset comprises 660+ hours of audio recordings across 20,000+ files for human-robot interactions in the Korean language. It captures authentic dialogues between humans and artificial conversational agents, specifically designed for training language models and advancing speech recognition systems.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in robotic systems and conversational AI technologies.… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/human-robot-conversation-korean.Korean-Speech-Dataset
🎧 Korean Speech Dataset
The Korean Speech Dataset is a large-scale speech audio dataset designed to provide high-quality and structured audio data for advanced AI and machine learning systems. It includes 192 hours of audio data across 628 files, delivered in MP3 and WAV formats, with a total size of 447 MB. This well-balanced audio dataset ensures diverse and representative voice data, with 52% female and 48% male speakers, and an age distribution ranging from 18 to 50+ years. The… See the full description on the dataset page: https://huggingface.co/datasets/Speech-data/Korean-Speech-Dataset.korean-speech-recognition
Korean Speech Dataset
Dataset comprises 10+ hours of audio recordings from 20+ speakers, featuring telephone-quality speech data from native korean speakers. It provides a diverse collection of spoken language for automatic speech recognition tasks and serves as essential training data for model training in NLP and speech detection research.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in automatic speech recognition… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/korean-speech-recognition.Kunkado_Maya_V2
Kunkado Maya V2 (Standardized)
Description
Ce dataset est une version transformée du dataset original RobotsMali/Kunkado (configuration human-reviewed).
L'objectif de cette version est de fournir des transcriptions dont les tags d'émotions et de bruits sont 100% compatibles avec les standards d'intégration de Maya One.
Transformations effectuées
Une pipeline de nettoyage automatique a été appliquée sur la colonne corrected-label pour générer la colonne… See the full description on the dataset page: https://huggingface.co/datasets/binaryMao/Kunkado_Maya_V2.ktt-math-tutor-data
KTT Math Tutor — Data
Data artefacts for the AIMS KTT Hackathon Tier-3 submission
S2.T3.1 AI Math Tutor for Early Learners. Source code:
https://github.com/DrUkachi/ktt-math-tutor.
Contents
T3.1_Math_Tutor/
Core curriculum + seeds.
curriculum.json — 80 items × 5 sub-skills (counting, number
sense, addition, subtraction, word problem) with EN / FR / KIN
stems, difficulty 1–10, age bands 5–6 / 6–7 / 7–8 / 8–9, visual
asset keys, expected integer answer.… See the full description on the dataset page: https://huggingface.co/datasets/DrUkachi/ktt-math-tutor-data.korean-speech-recognition
Korean Speech Recognition Dataset - 10+ hours
Dataset comprises 10 hours of high-quality telephone audio recordings in Korean, featuring 20 native speakers. Designed for advancing speech recognition models and language processing, this extensive speech data corpus covers diverse topics and domains, making it ideal for training robust automatic speech recognition (ASR) systems. - Get the data
Dataset characteristics:
Characteristic
Data
Description
Audio of… See the full description on the dataset page: https://huggingface.co/datasets/ud-nlp/korean-speech-recognition.Kyrgyz-Speech-DatasetKannada-Speech-Dataset
🎧 Kannada Speech Dataset
The Kannada Speech Dataset is a high-quality speech audio dataset designed to deliver structured and reliable audio data for AI and machine learning workflows. It includes 90 hours of audio data across 651 files, available in MP3 and WAV formats, with a total size of 220 MB. This well-organized audio dataset provides balanced and representative voice data, with 48% female and 52% male speakers, and an age range spanning from 18 to 50+ years. The dataset… See the full description on the dataset page: https://huggingface.co/datasets/Speech-data/Kannada-Speech-Dataset.dwesui-grupa-2-kulinarna
G2-Polish-Culinary-ASR-Evaluation-Corpus
Korpus do ewaluacji systemow ASR jezyka polskiego (domena kulinarna) stworzony
w ramach warsztatow Ewaluacja Systemow Rozpoznawania Mowy (UAM WMI, edycja 2026,
zespol 2). Publikowany podzbior to mowa naturalna z wideo kulinarnych YouTube
(licencja CC-BY) - sluzy do badania odpornosci ASR na szum kuchenny oraz dopasowania
domenowego do specjalistycznego slownictwa (zapozyczenia, miary, liczby).
Pelny eksperyment ewaluacyjny zespolu… See the full description on the dataset page: https://huggingface.co/datasets/s479246/dwesui-grupa-2-kulinarna.Kazakh-Speech-Dataset
🎧 Kazakh Speech Dataset
The Kazakh Speech Dataset is a high-quality speech audio dataset developed to provide structured and scalable audio data for AI and machine learning applications. It includes 130 hours of audio data distributed across 672 files, delivered in MP3 and WAV formats, with a total size of 123 MB. This well-balanced audio dataset ensures diverse and representative voice data, featuring 54% female and 46% male speakers, with an age range spanning from 18 to 50+… See the full description on the dataset page: https://huggingface.co/datasets/Speech-data/Kazakh-Speech-Dataset.2026-dwesui-g02-kulinarna
DWESUI 2026 - Grupa 2 - kulinarna (PIEROGA)
Robocza/archiwalna kopia zbioru ewaluacyjnego ASR zbudowanego przez studentow kursu
Warsztaty z ewaluacji systemow rozpoznawania mowy (UAM WMI), edycja 2026, tryb dzienny.
Zespol (atrybucja): Grupa 2 (DWESUI 2026)
Zrodlo oryginalne: https://huggingface.co/datasets/s479246/dwesui-grupa-2-kulinarna
Domena: kulinarna
Licencja zrodla: nagrania YouTube CC-BY/CC-BY-SA + TTS
Status: kopia publiczna w organizacji kursowej (zespół opublikował… See the full description on the dataset page: https://huggingface.co/datasets/uam-wmi-asr-eval-labs/2026-dwesui-g02-kulinarna.new_dataset_songs