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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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taskAllText generationQuestion answeringImage classificationSpeech
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01MeldProject /MELD-DS-448 Appendix: MELD-DS-448 Dataset Overview Dataset Overview MELD-DS-448 contains 26,166 malicious samples spanning 448 distinct malware families collected from April 2020 to August 2025. All samples are uniquely identified by SHA-256 hashes and include precise "First Seen" timestamps. Family Distribution Characteristics: The dataset exhibits a typical long-tail distribution, with 35.7% singleton families (only 1 sample) and 64.7% small-scale families (≤5 samples).… See the full description on the dataset page: https://huggingface.co/datasets/MeldProject/MELD-DS-448.tabularother10K<n<100K0 likes374 downloads3mo agoHugging Face02kgnlp /meld-open MELD Open MELD is a multilingual and multi-domain dataset for Named Entity Recognition (NER) constructed from 60 existing datasets. It includes gold-standard annotations across 60 languages and 14 domains. This dataset is a subset of 43 datasets for which licenses permit the redistribution of data in a new format. See the MELD GitHub repository for more details. Note: This version of MELD Open retains the original labels from its source datasets. For normalized labels, use… See the full description on the dataset page: https://huggingface.co/datasets/kgnlp/meld-open.tabulartoken-classification10M<n<100M0 likes218 downloads5mo agoHugging Face03kgnlp /meld-open-normalized MELD Open (Normalized) MELD is a multilingual and multi-domain dataset for Named Entity Recognition (NER) constructed from 60 existing datasets. It includes gold-standard annotations across 60 languages and 14 domains. This dataset is a subset of 43 datasets for which licenses permit the redistribution of data in a new format. See the MELD GitHub repository for more details. Note: This version of MELD Open uses normalized labels. For original labels from each source dataset, use… See the full description on the dataset page: https://huggingface.co/datasets/kgnlp/meld-open-normalized.tabulartoken-classification10M<n<100M0 likes158 downloads5mo agoHugging Face04meldynamics /lt-stressed-corpus LT Stressed Corpus Lithuanian sentences with word stress marks. The dataset combines MATAS v1.0 and ALKSNIS v3.0. It is useful for speech technology, pronunciation work, language learning, and research on Lithuanian stress. This release contains sentences where every Lithuanian word that needs stress has a selected stressed form. Sentences with Arabic or Roman numerals are left out because reading a number correctly depends on context and grammatical form. Some Lithuanian words… See the full description on the dataset page: https://huggingface.co/datasets/meldynamics/lt-stressed-corpus.tabular100K<n<1M1 likes130 downloads1d agoHugging Face05Sammaiah /MELD-processed-v3-wavlm MELD Processed Multi-Modal Emotion Recognition Dataset Processed dataset containing Prosody, Whisper acoustic encodings, DistilBERT text hidden states, and Ekman emotion labels. tabular10K<n<100K0 likes115 downloads15d agoHugging Face06Sammaiah /MELD-processed-v4-opensmile25d MELD Processed Multi-Modal Emotion Recognition Dataset Processed dataset containing Prosody, Whisper acoustic encodings, DistilBERT text hidden states, and Ekman emotion labels. tabular10K<n<100K0 likes74 downloads8d agoHugging Face07Sammaiah /MELD-processed-v5-emotion2vec MELD Processed Multi-Modal Emotion Recognition Dataset Processed dataset containing Prosody, Whisper acoustic encodings, DistilBERT text hidden states, and Ekman emotion labels. tabular10K<n<100K0 likes60 downloads5d agoHugging Face08Sammaiah /MELD-processed-v2 MELD Processed Multi-Modal Emotion Recognition Dataset Processed dataset containing Prosody, Whisper acoustic encodings, DistilBERT text hidden states, and Ekman emotion labels. tabular10K<n<100K0 likes48 downloads21d agoHugging Face09TAESOO98 /meld-transcript-finaltabular10K<n<100K1 likes20 downloads2y agoHugging Face10ku-nlp /MELD-STgated MELD-ST: An Emotion-aware Speech Translation Dataset Paper: https://arxiv.org/abs/2405.13233 Overview This emotion-aware speech translation dataset is a multi-language dataset extracted from the TV show "Friends." It includes English, Japanese, and German subtitles along with corresponding timestamps. This dataset is designed for natural language processing tasks. Contents The dataset is partitioned into train, test, and development subsets to streamline… See the full description on the dataset page: https://huggingface.co/datasets/ku-nlp/MELD-ST.tabular10K<n<100K7 likes16 downloads1y agoHugging Face11TAESOO98 /meld-tts-gender_speaker3tabular10K<n<100K1 likes12 downloads2y agoHugging Face12pabloorlw /MELD_texttabular10K<n<100K0 likes11 downloads1y agoHugging Face13TAESOO98 /meld-transcript-final_temptabular10K<n<100K0 likes7 downloads2y agoHugging Face14Madhavan0506 /meld-tokenizedtabular1K<n<10K0 likes6 downloads1y agoHugging Face15DBbun /10K_MELD_Plus_v1.0gated Synthetic MELD-Plus (10K Patients) Watch a demo This dataset contains 10,000 synthetic patients inspired by the published MELD-Plus study (a collboration between Massachusetts General Hospital and IBM Research). Each row corresponds to a single admission, with demographics, labs, comorbidities, medications, derived scores (MELD, MELD-Na, MELD-Plus), and the binary outcome Death_Within_90_Days. All data are artificially generated and contain no identifiable patient records.… See the full description on the dataset page: https://huggingface.co/datasets/DBbun/10K_MELD_Plus_v1.0.tabulartext-generation10K<n<100K0 likes3 downloads10mo agoHugging Face16DBbun /1M_MELD_Plus_v1.0gated Synthetic MELD-Plus (1M Patients) This dataset contains 1,000,000 synthetic patients inspired by the published MELD-Plus study (a collboration between Massachusetts General Hospital and IBM Research). Each row corresponds to a single admission, with demographics, labs, comorbidities, medications, derived scores (MELD, MELD-Na, MELD-Plus), and the binary outcome Death_Within_90_Days. All data are artificially generated and contain no identifiable patient records.… See the full description on the dataset page: https://huggingface.co/datasets/DBbun/1M_MELD_Plus_v1.0.tabulartext-generation1M<n<10M0 likes2 downloads9mo agoHugging Face17BigfufuOuO /meld_clips_v3gated 目录结构 / ├── metadata.csv # 数据集元数据文件 ├── videos/ # 视频文件目录 │ ├── dev_sample_2.mp4 │ ├── dev_sample_3.mp4 │ └── ... └── audios/ # 音频文件目录 ├── mfa_meld_dev_oov.txt # MFA对齐时的OOV（out-of-vocabulary）词汇 ├── ost/ # 原始音轨（Original SoundTrack） │ ├── dev_sample_2.wav │ ├── dev_sample_3.wav │ └── ... ├── vocals/ # 人声音轨（分离后） │ ├── dev_sample_2_vocals.wav │ ├──… See the full description on the dataset page: https://huggingface.co/datasets/BigfufuOuO/meld_clips_v3.audio1K<n<10K0 likes2 downloads8mo agoHugging Face18DBbun /100K_MELD_Plus_v1.0gated Synthetic MELD-Plus (100K Patients) Watch a demo This dataset contains 100,000 synthetic patients inspired by the published MELD-Plus study (a collboration between Massachusetts General Hospital and IBM Research). Each row corresponds to a single admission, with demographics, labs, comorbidities, medications, derived scores (MELD, MELD-Na, MELD-Plus), and the binary outcome Death_Within_90_Days. All data are artificially generated and contain no identifiable patient records.… See the full description on the dataset page: https://huggingface.co/datasets/DBbun/100K_MELD_Plus_v1.0.tabulartext-generation100K<n<1M0 likes1 downloads10mo agoHugging Face19CaydenSchalk /meld Dataset Card for "MELD_Text" More Information needed tabular10K<n<100K0 likes1 downloads8mo agoHugging Face

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