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  ---
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  license: mit
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- dataset_info:
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- description: "Processed benchmark data for AgentRecBench tasks."
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- features:
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- - name: task
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- description: "Folder containing multiple recommendation task configurations."
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- - name: process_data
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- description: "Main processed dataset packaged as a ZIP file for all tasks."
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- size: 4.9GB
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- data_files:
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- - https://huggingface.co/datasets/SGJQovo/AgentRecBench/resolve/main/process_data.zip
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  ---
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  # README
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@@ -27,9 +17,9 @@ This folder contains three major types of recommendation tasks:
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  - **Evolving Interest Tasks**: These tasks are designed to capture the dynamic nature of user preferences over time, requiring agents to adapt to changing interests.
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  - **Cold-Start Tasks**: These tasks address the challenge of making recommendations for new users or items with limited interaction history.
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- ### `process_data/`
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- This folder includes the datasets used for each task, which are processed and formatted for agent retrieval:
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  - **process_data_all**: Contains datasets for both classic and cold-start tasks.
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  - **process_data_long**: Contains datasets for long-term evolving interest tasks.
 
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  ---
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  license: mit
 
 
 
 
 
 
 
 
 
 
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  ---
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  # README
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  - **Evolving Interest Tasks**: These tasks are designed to capture the dynamic nature of user preferences over time, requiring agents to adapt to changing interests.
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  - **Cold-Start Tasks**: These tasks address the challenge of making recommendations for new users or items with limited interaction history.
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+ ### dataset
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+ The following three folders contain the datasets for each task, processed and formatted for retrieval by the agent:
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  - **process_data_all**: Contains datasets for both classic and cold-start tasks.
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  - **process_data_long**: Contains datasets for long-term evolving interest tasks.