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@@ -11,7 +11,7 @@ short_description: The VCR-Wiki datasets
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  This space contains all configurations for VCR-Wiki, introduced in VCR: Visual Caption Restoration (https://arxiv.org/abs/2406.06462).
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  # News
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- - πŸ”₯πŸ”₯πŸ”₯ **[2024-06-13]** We release the evaluation codes for open-source models, closed-source models and the pipeline of creating the dataset.
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  - πŸ”₯πŸ”₯πŸ”₯ **[2024-06-12]** We have incorperated the VCR-wiki evaluation process in [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval) framework. Now, users can use one line command to run the evaluation of models on the VCR-wiki test datasets.
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  - πŸ”₯πŸ”₯πŸ”₯ **[2024-06-11]** Our paper has been released on the [arXiv](https://arxiv.org/abs/2406.06462), including the evaluation results of a series of models.
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  - πŸ”₯πŸ”₯πŸ”₯ **[2024-06-10]** We have released the [VCR-wiki dataset](https://huggingface.co/vcr-org), which contains 2.11M English and 346K Chinese entities sourced from Wikipedia, offered in both easy and hard variants. The dataset is available in the Hugging Face Datasets library.
 
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  This space contains all configurations for VCR-Wiki, introduced in VCR: Visual Caption Restoration (https://arxiv.org/abs/2406.06462).
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  # News
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+ - πŸ”₯πŸ”₯πŸ”₯ **[2024-06-13]** We release the evaluation codes for open-source models, closed-source models and the pipeline of creating the dataset in [VCR's Github Repo](https://github.com/tianyu-z/VCR).
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  - πŸ”₯πŸ”₯πŸ”₯ **[2024-06-12]** We have incorperated the VCR-wiki evaluation process in [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval) framework. Now, users can use one line command to run the evaluation of models on the VCR-wiki test datasets.
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  - πŸ”₯πŸ”₯πŸ”₯ **[2024-06-11]** Our paper has been released on the [arXiv](https://arxiv.org/abs/2406.06462), including the evaluation results of a series of models.
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  - πŸ”₯πŸ”₯πŸ”₯ **[2024-06-10]** We have released the [VCR-wiki dataset](https://huggingface.co/vcr-org), which contains 2.11M English and 346K Chinese entities sourced from Wikipedia, offered in both easy and hard variants. The dataset is available in the Hugging Face Datasets library.