Update model card

README.md

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 Binary-Think-RM is a generative reward model with long-horizon reasoning capabilities, introduced in the paper [Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models](https://arxiv.org/abs/2505.16265).
 
-This model is fine-tuned from [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) using a two-stage training process: (1) reasoning-oriented supervised fine-tuning (SFT) and (2) reinforcement learning with verifiable rewards (RLVR).
+This model is fine-tuned from [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) using a two-stage training process: (1) reasoning-oriented supervised fine-tuning (SFT) using [ilgee/hs2-naive-reasoning-binary-max](https://huggingface.co/datasets/ilgee/hs2-naive-reasoning-binary-max) and (2) reinforcement learning with verifiable rewards (RLVR) using a prompt part of [ilgee/hs2-naive-reasoning-binary-max](https://huggingface.co/datasets/ilgee/hs2-naive-reasoning-binary-max).
 
 ## Model Description