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@@ -23,7 +23,7 @@ The KnowRL framework is designed to address the issue of hallucinations in Large
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  ## Dataset Description
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- This dataset is a crucial component for **Stage 2: Knowledgeable Reinforcement Learning (RL)**. It serves as the external **knowledge source** used to calculate the `Fact Reward`, which evaluates the factuality of the model's reasoning process.
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  * **Purpose**: Provides the grounding knowledge for factuality verification during the RL training stage of the KnowRL framework.
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  * **Data Source**: The knowledge base is constructed from a snapshot of English Wikipedia (en.wikipedia.org) from November 1, 2023, containing 6.4 million entries.
@@ -49,6 +49,7 @@ from datasets import load_dataset
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  knowledge_base = load_dataset("zjunlp/KnowRL-Knowledge-Base")
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  ```
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  ### Using `huggingface-cli`
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  You can also download the entire dataset from the command line using `huggingface-cli`.
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  ```bash
 
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  ## Dataset Description
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+ This dataset is a crucial component for **Stage: Knowledgeable Reinforcement Learning (RL)**. It serves as the external **knowledge source** used to calculate the `Fact Reward`, which evaluates the factuality of the model's reasoning process.
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  * **Purpose**: Provides the grounding knowledge for factuality verification during the RL training stage of the KnowRL framework.
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  * **Data Source**: The knowledge base is constructed from a snapshot of English Wikipedia (en.wikipedia.org) from November 1, 2023, containing 6.4 million entries.
 
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  knowledge_base = load_dataset("zjunlp/KnowRL-Knowledge-Base")
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  ```
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+
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  ### Using `huggingface-cli`
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  You can also download the entire dataset from the command line using `huggingface-cli`.
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  ```bash