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Add original dataset source reference with hyperlinks

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@@ -64,6 +64,24 @@ ds = load_dataset("apart-global-south-hack/remote_sensing_VQA_multilingual", spl
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  print(ds[0])
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  ```
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- ## Citation
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- If you use this dataset, please cite our work on multilingual cross-modal conflict evaluation.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  print(ds[0])
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  ```
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+ ## Original Source
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+
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+ This dataset is built from the [**Remote Sensing VQA Benchmark**](https://huggingface.co/datasets/AdaptLLM/remote-sensing-VQA-benchmark) by AdaptLLM (Cheng et al., 2025), which provides remote sensing visual instruction tasks for evaluating MLLMs.
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+
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+ > Ran Cheng et al. 2025.
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+ > *On Domain-Specific Post-Training for Multimodal Large Language Models.*
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+ > EMNLP 2025.
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+ > Paper: [arxiv.org/abs/2411.19930](https://arxiv.org/abs/2411.19930)
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+
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+ - **Original dataset:** [AdaptLLM/remote-sensing-VQA-benchmark](https://huggingface.co/datasets/AdaptLLM/remote-sensing-VQA-benchmark)
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+ - **Project page:** [Adapt-MLLM-to-Domains](https://huggingface.co/AdaptLLM/Adapt-MLLM-to-Domains)
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+
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+ ```bibtex
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+ @inproceedings{cheng2025domain,
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+ title={On Domain-Specific Post-Training for Multimodal Large Language Models},
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+ author={Cheng, Ran and others},
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+ booktitle={Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
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+ year={2025}
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+ }
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+ ```