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vidore/vidore_benchmark_qa_dummy

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Hugging Face2024-12-07 更新2025-04-12 收录
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资源简介:
--- dataset_info: features: - name: query dtype: string - name: image dtype: image - name: image_filename dtype: string - name: answer dtype: string - name: page dtype: string - name: model dtype: string - name: prompt dtype: string - name: source dtype: string splits: - name: test num_bytes: 1615085.475 num_examples: 5 download_size: 1585818 dataset_size: 1615085.475 configs: - config_name: default data_files: - split: test path: data/test-* --- ## Dataset Description This dataset is a small subset of the [`vidore/syntheticDocQA_energy_test`](https://huggingface.co/datasets/vidore/syntheticDocQA_energy_test) dataset. It aims to be used for debugging and testing. ### Load the dataset ```python from datasets import load_dataset ds = load_dataset("vidore/vidore_benchmark_qa_dummy", split="test") ``` ### Dataset Structure Here is an example of a dataset instance structure: ```json features: - name: query dtype: string - name: image dtype: image - name: image_filename dtype: string - name: answer dtype: string - name: page dtype: string - name: model dtype: string - name: prompt dtype: string - name: source dtype: string ``` ## Citation Information If you use this dataset in your research, please cite the original dataset as follows: ```latex @misc{faysse2024colpaliefficientdocumentretrieval, title={ColPali: Efficient Document Retrieval with Vision Language Models}, author={Manuel Faysse and Hugues Sibille and Tony Wu and Gautier Viaud and Céline Hudelot and Pierre Colombo}, year={2024}, eprint={2407.01449}, archivePrefix={arXiv}, primaryClass={cs.IR}, url={https://arxiv.org/abs/2407.01449}, } ```
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