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Improve dataset card: Add task category, license, and tags

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This PR improves the dataset card by adding crucial metadata to enhance its discoverability and provide more context:
- Adds `task_categories: visual-document-retrieval` to accurately classify the dataset's primary task.
- Specifies `license: cc-by-nc-4.0`.
- Includes `library_name: transformers`, as the dataset is intended for use with models often built and used with the Hugging Face Transformers library.
- Adds relevant `tags`: `multimodal`, `embeddings`, `pretraining`, `document-retrieval`, and `interleaved-data` to better describe the dataset's nature and application.

The existing `dataset_info` and `configs` metadata have been preserved. No changes were made to the existing paper, code, or project links in the markdown content.

Files changed (1) hide show
  1. README.md +12 -0
README.md CHANGED
@@ -16,7 +16,19 @@ configs:
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  data_files:
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  - split: train
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  path: data/train-*
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  # Copali train split used in MoCa Continual Pre-training
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  [🏠 Homepage](https://haon-chen.github.io/MoCa/) | [πŸ’» Code](https://github.com/haon-chen/MoCa) | [πŸ€– MoCa-Qwen25VL-7B](https://huggingface.co/moca-embed/MoCa-Qwen25VL-7B) | [πŸ€– MoCa-Qwen25VL-3B](https://huggingface.co/moca-embed/MoCa-Qwen25VL-3B) | [πŸ“š Datasets](https://huggingface.co/moca-embed/datasets) | [πŸ“„ Paper](https://arxiv.org/abs/2506.23115)
 
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  data_files:
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  - split: train
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  path: data/train-*
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+ task_categories:
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+ - visual-document-retrieval
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+ license: cc-by-nc-4.0
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+ library_name:
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+ - transformers
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+ tags:
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+ - multimodal
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+ - embeddings
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+ - pretraining
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+ - document-retrieval
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+ - interleaved-data
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  ---
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+
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  # Copali train split used in MoCa Continual Pre-training
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  [🏠 Homepage](https://haon-chen.github.io/MoCa/) | [πŸ’» Code](https://github.com/haon-chen/MoCa) | [πŸ€– MoCa-Qwen25VL-7B](https://huggingface.co/moca-embed/MoCa-Qwen25VL-7B) | [πŸ€– MoCa-Qwen25VL-3B](https://huggingface.co/moca-embed/MoCa-Qwen25VL-3B) | [πŸ“š Datasets](https://huggingface.co/moca-embed/datasets) | [πŸ“„ Paper](https://arxiv.org/abs/2506.23115)