CoolFace
14 shown

datasets

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

Clear all
01litagin /moe-speechgated Recomendation of OOPPEENN's 56697375616C4E6F76656C5F44617461736574 I recommend OOPPEENN/56697375616C4E6F76656C5F44617461736574 for Japanese voice corpus, which is: Similar speech domain to this one (Japanese anime-style speech from Japanese Visual Novel), but Huge amounts of audio compared to this dataset (600 hours for this, 10,000 hours for Galgame_Dataset!) This dataset contains about 50 games, and Galgame_Dataset contains more than 500 games! Contains true transcripts of each… See the full description on the dataset page: https://huggingface.co/datasets/litagin/moe-speech.audiotext-to-speech100K<n<1M280 likes667 downloads5mo agoHugging Face02Uni-MoE /College-Entrance-English-Examination-Listening-PartIf our dataset is useful for your research, please cite our work: @article{li2025uni, title={Uni-moe: Scaling unified multimodal llms with mixture of experts}, author={Li, Yunxin and Jiang, Shenyuan and Hu, Baotian and Wang, Longyue and Zhong, Wanqi and Luo, Wenhan and Ma, Lin and Zhang, Min}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, year={2025}, publisher={IEEE} } audion<1K1 likes128 downloads1y agoHugging Face03NickWeng /tat-moegated TAT-MOE TAT (Taiwanese Across Taiwan) MOE 台文語音語料庫 -- speakers reading aloud example sentences from the Ministry of Education's official Taiwanese dictionary (臺灣台語常用詞 辭典), recorded simultaneously on 6 different microphones per sentence. ⚠️ Known incompleteness -- this is NOT the full official TAT-MOE corpus. The official release covers 328 train / 58 eval / 54 test speakers (86,072 / 16,357 / 15,962 sentences). What is actually available in the source COS bucket -- and therefore… See the full description on the dataset page: https://huggingface.co/datasets/NickWeng/tat-moe.audio1 likes115 downloads14d agoHugging Face04Backup-bdg /moe-training Xoron-Dev Multimodal MoE Dataset This dataset is a high-scale, unified multimodal collection specifically engineered for training Mixture of Experts (MoE) models. It integrates text, audio, image, and video data into a single, cohesive training pipeline designed to foster cross-modal reasoning, creative generation, and agentic behavior. 🚀 Capabilities By utilizing this dataset, models can be trained for: Vision-Language: Image generation, high-fidelity editing… See the full description on the dataset page: https://huggingface.co/datasets/Backup-bdg/moe-training.image100K<n<1M2 likes64 downloads7mo agoHugging Face05alexachang /tat-moe-subsetaudio10K<n<100K0 likes62 downloads1y agoHugging Face06ayousanz /moe-speech-plusgated MoeSpeechPlus MoeSpeechのデータセットに以下のデータ処理を行ったデータセット 追加情報 anime-whisperによる文字お越し parakeetによる文字お越し speechMOS (UTMOS v2 (T05)を使用) 音声の長さ microsoft/deberta-v3-largeによる感情判定 litagin/anime_speech_emotion_classificationによる感情判定 Qwen/Qwen2-Audio-7B-Instructによる感情判定 { "parakeet_jp_transcription": "昨夜からずっと気配を探られていたか。", "anime_whisper_transcription": "昨夜からずっと気配を探られていたか…", "duration": 3.722018140589569, "speechMOS": 2.294760227203369, "DeBERTa_Sentiment": { "悲しみ": 0.12533913552761078… See the full description on the dataset page: https://huggingface.co/datasets/ayousanz/moe-speech-plus.audiotext-to-speech100K<n<1M8 likes37 downloads1y agoHugging Face07ayousanz /moe-speech-20speakers-ljspeechgated MoeSpeech 20 Speakers - LJSpeech Format moe-speech-plus-ljspeechから発話数上位20話者を抽出したデータセットです。 Piper TTSなどのTTSモデル学習に最適化されています。 Dataset Summary 項目 値 話者数 20 総発話数 60,233 フォーマット LJSpeech サンプルレート 22050 Hz 言語 日本語 総音声時間 約90.6時間 Speaker Statistics Speaker ID Utterances Internal ID 940de876 4,675 0 2cf01874 4,632 1 bbd90363 3,747 2 1a5a3db8 3,295 3 4e2f4ba6 3,268 4 cc948b89 3,043 5 ad28b91b 3,033 6 ee093a4f 2,957 7… See the full description on the dataset page: https://huggingface.co/datasets/ayousanz/moe-speech-20speakers-ljspeech.audiotext-to-speech10K<n<100K1 likes21 downloads9mo agoHugging Face08NickWeng /moe-dictgated MOE Taiwanese Dictionary (台語字典) Word/phrase-level dictionary entry recordings, likely sourced from the Ministry of Education's official Taiwanese dictionary (臺灣台語常用詞辭典) -- each entry is a single word or short phrase (not a full sentence), with Han-lo text, a Mandarin gloss, and Tai-lo romanization. Dataset Structure id: numeric dictionary-entry identifier (e.g. 45549), already globally unique. audio: audio clip (16kHz, mono, 24-bit PCM WAV (majority)). text:… See the full description on the dataset page: https://huggingface.co/datasets/NickWeng/moe-dict.audio10K<n<100K0 likes20 downloads19d agoHugging Face09ayousanz /moe-speech-5speakers-ljspeechgated moe-speech-5speakers-ljspeech Japanese multi-speaker TTS dataset in LJSpeech format. Overview Speakers: 5 Total utterances: 19,617 Format: LJSpeech (wavs/ + metadata.csv) Sample rate: 22050 Hz Language: Japanese Speaker Statistics Speaker ID Utterances 940de876 4,675 2cf01874 4,632 bbd90363 3,747 1a5a3db8 3,295 4e2f4ba6 3,268 Files metadata.csv - Full metadata (id|speaker|text) metadata_{speaker_id}.csv - Per-speaker… See the full description on the dataset page: https://huggingface.co/datasets/ayousanz/moe-speech-5speakers-ljspeech.audio10K<n<100K0 likes8 downloads10mo agoHugging Face10formospeech /tat_moe_cmgated TEST Subset lang_name hours n_utts n_chars_in_utts secs/utt chars/sec n_sents n_chars_in_sents nan_tw Taigi 12.89 12,578 151,234 3.69 3.26 0 0 Total - 12.89 12,578 151,234 3.69 3.26 0 0 EVAL Subset lang_name hours n_utts n_chars_in_utts secs/utt chars/sec n_sents n_chars_in_sents nan_tw Taigi 11.68 10,766 134,941 3.91 3.21 0 0 Total - 11.68 10,766 134,941 3.91 3.21 0 0 TRAIN Subset lang_name hours n_utts… See the full description on the dataset page: https://huggingface.co/datasets/formospeech/tat_moe_cm.audio10K<n<100K0 likes8 downloads1mo agoHugging Face11formospeech /hakkadict_moe_examplegated TRAIN Subset lang_name hours n_utts n_chars_in_utts secs/utt chars/sec n_sents n_chars_in_sents hak_dp Hakka_Dapu 0.00 0 0 0.00 0.00 14,455 282,665 hak_hl Hakka_Hailu 0.00 0 0 0.00 0.00 14,996 294,876 hak_nsx Hakka_NanSixian 0.00 0 0 0.00 0.00 14,776 291,321 hak_rp Hakka_Raoping 0.00 0 0 0.00 0.00 14,881 293,945 hak_sx Hakka_Sixian 0.00 0 0 0.00 0.00 15,010 299,058 hak_za Hakka_Zhaoan 0.00 0 0 0.00 0.00 12,530 246,820 Total - 0.00 0 0 0.00 0.00 86,648 1… See the full description on the dataset page: https://huggingface.co/datasets/formospeech/hakkadict_moe_example.audio10K<n<100K1 likes6 downloads3mo agoHugging Face12formospeech /tat_moe_mcgated TEST Subset lang_name hours n_utts n_chars_in_utts secs/utt chars/sec n_sents n_chars_in_sents nan_tw Taigi 12.86 12,582 151,247 3.68 3.27 0 0 Total - 12.86 12,582 151,247 3.68 3.27 0 0 EVAL Subset lang_name hours n_utts n_chars_in_utts secs/utt chars/sec n_sents n_chars_in_sents nan_tw Taigi 11.74 10,769 134,953 3.92 3.19 0 0 Total - 11.74 10,769 134,953 3.92 3.19 0 0 TRAIN Subset lang_name hours n_utts… See the full description on the dataset page: https://huggingface.co/datasets/formospeech/tat_moe_mc.audio10K<n<100K0 likes5 downloads1mo agoHugging Face13formospeech /hakkadict_moe_wordgated TRAIN Subset lang_name hours n_utts n_chars_in_utts secs/utt chars/sec n_sents n_chars_in_sents hak_dp Hakka_Dapu 7.05 11,603 25,919 2.19 1.02 0 0 hak_hl Hakka_Hailu 4.56 11,403 25,468 1.44 1.55 0 0 hak_nsx Hakka_NanSixian 4.81 11,676 26,283 1.48 1.52 0 0 hak_rp Hakka_Raoping 3.68 11,391 25,495 1.16 1.93 0 0 hak_sx Hakka_Sixian 3.86 11,393 25,519 1.22 1.84 0 0 hak_za Hakka_Zhaoan 3.31 9,946 21,265 1.20 1.78 0 0 Total - 27.27 67,412 149,949 1.46 1.53 0 0… See the full description on the dataset page: https://huggingface.co/datasets/formospeech/hakkadict_moe_word.audio10K<n<100K0 likes4 downloads2mo agoHugging Face14ayousanz /moe-speech-plus-ljspeechgated MoeSpeechPlus-ljspeech MoeSpeechPlusのデータセットのデータフォーマットをljspechに沿って変換したもの huggingface-cli download --repo-type dataset ayousanz/moe-speech-plus-ljspeech --local-dir moe-speech-plus-ljspeech MoeSpeech 日本語はこちら このデータセットは、著作権法第三十条の四の情報解析(機械学習等)の目的でのみ使用が許可されています。それ以外の用途での使用はライセンスにより禁止されています。 This dataset is only permitted for use under Article 30-4 of the Copyright Law of Japan for data analysis (such as machine learning) purposes. Any use for purposes other than those… See the full description on the dataset page: https://huggingface.co/datasets/ayousanz/moe-speech-plus-ljspeech.audiotext-to-speech100K<n<1M1 likes2 downloads1y agoHugging Face

Listings come live from the Hugging Face Hub API. CoolFace does not host these files.