Link paper, project page and add download instructions

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by nielsr HF Staff - opened
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  1. README.md +25 -13
README.md CHANGED
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  ---
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- license: mit
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- task_categories:
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- - text-generation
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  language:
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- - en
 
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  size_categories:
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- - 1K<n<10K
 
 
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  tags:
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- - agentic
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- - code
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- - software-engineering
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- - reinforcement-learning
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- - context-aware
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- - contrastive
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  ---
 
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  # ContextRL-Agentic
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  The agentic (long-horizon) training set for **ContextRL**, used to train
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  **[ContextRL-Klear-AgentForge-8B](https://huggingface.co/xupy21/ContextRL_Klear_AgentForge_8B)**
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  and **[ContextRL-Qwen3-8B-Agentic](https://huggingface.co/xupy21/ContextRL_Qwen3_8B_Agentic)**,
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- from the paper **Context-Aware RL for Agentic and Multimodal LLMs**.
 
 
 
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  ## Setup
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  Training and evaluation code, data construction pipelines, and detailed configurations are
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  available in the repository:
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- ๐Ÿ‘‰ **https://github.com/xupy2003/ContextAwareRL**
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
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  language:
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+ - en
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+ license: mit
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  size_categories:
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+ - 1K<n<10K
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+ task_categories:
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+ - text-generation
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  tags:
10
+ - agentic
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+ - code
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+ - software-engineering
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+ - reinforcement-learning
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+ - context-aware
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+ - contrastive
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  ---
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+
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  # ContextRL-Agentic
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  The agentic (long-horizon) training set for **ContextRL**, used to train
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  **[ContextRL-Klear-AgentForge-8B](https://huggingface.co/xupy21/ContextRL_Klear_AgentForge_8B)**
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  and **[ContextRL-Qwen3-8B-Agentic](https://huggingface.co/xupy21/ContextRL_Qwen3_8B_Agentic)**,
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+ from the paper **[Context-Aware RL for Agentic and Multimodal LLMs](https://huggingface.co/papers/2606.17053)**.
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+
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+ - **Project Website:** [ContextRL Website](https://xupy2003.github.io/ContextRL_Website/)
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+ - **Repository:** [GitHub - ContextAwareRL](https://github.com/xupy2003/ContextAwareRL)
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  ## Setup
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  Training and evaluation code, data construction pipelines, and detailed configurations are
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  available in the repository:
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+ ๐Ÿ‘‰ **https://github.com/xupy2003/ContextAwareRL**
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+
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+ ## Download Data
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+
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+ You can download the pre-built RL training data directly from the Hugging Face Hub:
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+
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+ ```bash
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+ huggingface-cli download xupy21/ContextRL_Agentic --repo-type dataset --local-dir ./data/ContextRL_Agentic
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+ ```