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@@ -36,7 +36,7 @@ pretty_name: humanevalv
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  ## HumanEval-V: Evaluating Visual Understanding and Reasoning Abilities of LMMs Through Coding Tasks
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  <p align="left">
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- <a href="">πŸ“„ Paper </a> β€’
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  <a href="https://humaneval-v.github.io">🏠 Home Page</a> β€’
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  <a href="https://github.com/HumanEval-V/HumanEval-V-Benchmark">πŸ’» GitHub Repository </a> β€’
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  <a href="https://humaneval-v.github.io/#leaderboard">πŸ† Leaderboard</a> β€’
@@ -83,3 +83,13 @@ You can easily load the dataset using the Hugging Face `datasets` library.
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  from datasets import load_dataset
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  humaneval_v = load_dataset("HumanEval-V/HumanEval-V-Benchmark", split="test")
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  ```
 
 
 
 
 
 
 
 
 
 
 
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  ## HumanEval-V: Evaluating Visual Understanding and Reasoning Abilities of LMMs Through Coding Tasks
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  <p align="left">
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+ <a href="https://arxiv.org/abs/2410.12381">πŸ“„ Paper </a> β€’
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  <a href="https://humaneval-v.github.io">🏠 Home Page</a> β€’
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  <a href="https://github.com/HumanEval-V/HumanEval-V-Benchmark">πŸ’» GitHub Repository </a> β€’
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  <a href="https://humaneval-v.github.io/#leaderboard">πŸ† Leaderboard</a> β€’
 
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  from datasets import load_dataset
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  humaneval_v = load_dataset("HumanEval-V/HumanEval-V-Benchmark", split="test")
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  ```
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+
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+ ## Citation
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+ ```bibtex
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+ @article{zhang2024humanevalv,
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+ title={HumanEval-V: Evaluating Visual Understanding and Reasoning Abilities of Large Multimodal Models Through Coding Tasks},
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+ author={Zhang, Fengji and Wu, Linquan and Bai, Huiyu and Lin, Guancheng and Li, Xiao and Yu, Xiao and Wang, Yue and Chen, Bei and Keung, Jacky},
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+ journal={arXiv preprint arXiv:2410.12381},
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+ year={2024},
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+ }
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+ ```