datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
global-piqa-nonparallel
Global PIQA Non-Parallel
Global PIQA is a participatory commonsense reasoning benchmark for over 100 languages, constructed by hand by over 350 researchers from over 65 countries around the world.
The non-parallel split covers 136 language varieties, covering five continents, 18 language families, and 24 writing systems.
In this non-parallel split, over 50% of examples reference local foods, customs, traditions, or other culturally-specific elements.
Details are in our preprint:… See the full description on the dataset page: https://huggingface.co/datasets/mrlbenchmarks/global-piqa-nonparallel.global-piqa-parallel
Global PIQA Parallel
Global PIQA is a participatory commonsense reasoning benchmark for over 100 languages, constructed by hand by over 350 researchers from over 65 countries around the world.
The parallel split is a multi-parallel dataset for 131 language varieties, covering five continents, 16 language families, and 23 writing systems.
In this parallel split, each example was machine-translated from English, then manually corrected by a native speaker of the target language.… See the full description on the dataset page: https://huggingface.co/datasets/mrlbenchmarks/global-piqa-parallel.paper-visawiki-visafineweb-visaMr-LHDR
Mr.LHDR: A Benchmark for Multimodal Real-World Long-Horizon Deep Research Agents
Citation
@misc{guo2026mrlhdrbenchmarkmultimodalrealworld,
title={Mr.LHDR: A Benchmark for Multimodal Real-World Long-Horizon Deep Research Agents},
author={Minghao Guo and Meng Cao and Sui Zhao and Siyu Ning and Xin Wang and Haoze Zhao and Jiaxuan Yang and Haihong Hao and Mingfei Han and Shunlin Rong and Haijun Wu and Xiaodan Liang and Xiaojun Chang},
year={2026}… See the full description on the dataset page: https://huggingface.co/datasets/Henryeahhh/Mr-LHDR.Lakelitbench-mrl-eyecubesat_imgModified CubeSatNet Dataset
Dataset Summary
Cubesat imagery data for onorbit image classification, divided in 5 different labels: Land, Space, Sunburn, Water and Cloud
Dataset Structure
Data Fields
Dataset Creation
Source Data
https://data.mendeley.com/datasets/47vtp22vs7/1
mrlove
Dataset Card for "mrlove"
More Information needed
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