multi-subject
Multi-subject-RLVRMulti-subject data for paper "Expanding RL with Verifiable Rewards Across Diverse Domains".
we use a multi-subject multiple-choice QA dataset ExamQA (Yu et al., 2021).
Originally written in Chinese, ExamQA covers at least 48 first-level subjects.
We remove the distractors and convert each instance into a free-form QA pair.
This dataset consists of 638k college-level instances, with both questions and objective answers written by domain experts for examination purposes.
We also use GPT-4o-mini… See the full description on the dataset page: https://huggingface.co/datasets/virtuoussy/Multi-subject-RLVR.multi-subject-mcq-training-pool
Multi-subject multiple-choice training pool
Public multiple-choice questions from eight datasets covering medicine, law, quantitative
reasoning, the natural sciences, history, philosophy, business, economics and everyday knowledge,
read at the pinned revisions named below and laid out twice. Train on either layer or on both.
pool.jsonl
Every source rewritten into one shape, 347642 rows, one JSON object per line, with these fields.
Field
What it holds
id… See the full description on the dataset page: https://huggingface.co/datasets/Emulated-Inc/multi-subject-mcq-training-pool.multisubject-demo-dataMulti_Subject_Driven_Image_Generation
Dataset Card
Dataset in ImagenHub.
Citation
Please kindly cite our paper if you use our code, data, models or results:
@article{ku2023imagenhub,
title={ImagenHub: Standardizing the evaluation of conditional image generation models},
author={Max Ku and Tianle Li and Kai Zhang and Yujie Lu and Xingyu Fu and Wenwen Zhuang and Wenhu Chen},
journal={arXiv preprint arXiv:2310.01596},
year={2023}
}
virtuoussy_multi_subject_rlvrMulti_Subject_Concepts
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
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Languages
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Dataset Structure
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Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/ImagenHub/Multi_Subject_Concepts.