Omkar2118/datasets huggingface dataset:
FewEvent

S. Deng, N. Zhang, J. Kang, Y. Zhang, W. Zhang, and H. Chen, “Meta-learning with dynamic-memory-based prototypical network for few-shot event detection”, in Proceedings of the 13th International Conference on Web Search and Data Mining. WSDM ’20, 2020, p. 151–159.
WSJ POS

M. P. Marcus, B. Santorini, and M. A. Marcinkiewicz, “Building a large annotated corpus of English: The Penn Treebank”, Computational Linguistics, vol. 19, no. 2, pp. 313–330, 1993. [Online]. Available: https://aclanthology.org/J93-2004
Twitter POS

K. Gimpel, N. Schneider, B. O’Connor, D. Das, D. Mills, J. Eisenstein, M. Heilman, D. Yogatama, J. Flanigan, and N. A. Smith, “Part-of-speech tagging for Twitter: Annotation, features, and experiments”, in Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, 2011, pp. 42–47.
sPBC
Full name: Super Parallel Bible Corpus

This is a super-parallel Bible corpus containing 1401 language labels (language_script pairs), meaning that for each verse, we have the translation in other languages. However, this results in a relatively low number of verses, with the current version supporting 103 verses per language.

Introducing paper: MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment
Dataset for Datacube segmentation via Deep Spectral Clustering"

Synthetic Datasets for ICSC Flagship 2.6.1. "Fast Extended Computer Vision"  paper #1 "Datacube segmentation via Deep Spectral Clustering"

It is a preliminary paper for the ICSC Spoke 2 WP6 flagship 2.6.1 "Fast Extended Computer Vision".

Code repository at: https://github.com/ICSC-Spoke2-repo/FastExtendedVision-DeepCluster

Introducing paper: Datacube segmentation via Deep Spectral Clustering