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All datasets matching “ink”xcsr
Dataset Card for X-CSR
Dataset Summary
To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR.… See the full description on the dataset page: https://huggingface.co/datasets/INK-USC/xcsr.riddle_senseAnswering such a riddle-style question is a challenging cognitive process, in that it requires
complex commonsense reasoning abilities, an understanding of figurative language, and counterfactual reasoning
skills, which are all important abilities for advanced natural language understanding (NLU). However,
there is currently no dedicated datasets aiming to test these abilities. Herein, we present RiddleSense,
a new multiple-choice question answering task, which comes with the first large dataset (5.7k examples) for answering
riddle-style commonsense questions. We systematically evaluate a wide range of models over the challenge,
and point out that there is a large gap between the best-supervised model and human performance — suggesting
intriguing future research in the direction of higher-order commonsense reasoning and linguistic creativity towards
building advanced NLU systems.vesuvius-ink-sweepsAI2_Alphabot_2_grind_ink
AI2_Alphabot_2_grind_ink
Dataset Description
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Task Preview
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Overview
Total Episodes: 251
Total Frames: 215722
FPS: 30
Dataset Size: 13.40 GB
Robot Name: AI2_Alphabot_2
End-Effector Type: two_finger_end_effector
Teleoperation Type: vr_controller
Sensors: cam_front_chest_rgb,
cam_front_head_rgb,
cam_left_wrist_rgb… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/AI2_Alphabot_2_grind_ink.InkSight-DerenderingsPaper: arxiv.org/abs/2402.05804
Citation
If you find it useful for your research and applications, please cite using this BibTeX:
@article{
mitrevski2025inksight,
title={InkSight: Offline-to-Online Handwriting Conversion by Teaching Vision-Language Models to Read and Write},
author={Blagoj Mitrevski and Arina Rak and Julian Schnitzler and Chengkun Li and Andrii Maksai and Jesse Berent and Claudiu Cristian Musat},
journal={Transactions on Machine Learning Research}… See the full description on the dataset page: https://huggingface.co/datasets/Derendering/InkSight-Derenderings.inkference-book-images