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@@ -5301,13 +5301,7 @@ The OmniCorpus contains three sections:
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  - **OmniCorpus-CW**: sourced from Chinese internet resources, will be availiable in [OpenDataLab](https://opendatalab.com/) platform.
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  - **OmniCorpus-YT**: samples Youtube video frames as images and collects subtitles as texts.
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- Code for pre-training, evaluating, main body extracting, and filtering have been released in the official [repository](https://github.com/OpenGVLab/OmniCorpus). A pre-trained model is availiable [here](). We are processing and uploading the rest data sections as soon as possible.
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- ### Update (2024-10-16):
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- We are uploading the natural arrangement version of the OmniCorpus-CC documents.
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- Coming soon:
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- - Documents with Similarities: Documents with split at the sentence level, resulting in minor differences of text content.
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  # Data Pipeline
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  - **OmniCorpus-CW**: sourced from Chinese internet resources, will be availiable in [OpenDataLab](https://opendatalab.com/) platform.
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  - **OmniCorpus-YT**: samples Youtube video frames as images and collects subtitles as texts.
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+ Code for pre-training, evaluating, main body extracting, and filtering have been released in the official [repository](https://github.com/OpenGVLab/OmniCorpus). A pre-trained model is availiable [here](https://huggingface.co/Qingyun/OmniCorpus-InternVL).
 
 
 
 
 
 
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  # Data Pipeline
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