Update README.md

README.md

@@ -1,52 +1,178 @@
 ---
-frameworks:
-- Pytorch
 license: apache-2.0
-tags: []
-tasks:
-- text-generation
+language:
+- zh
+- en
+library_name: transformers
+pipeline_tag: text-generation
+base_model: Qwen/Qwen3-8B-Base
+tags:
+- qwen3
+- mental-health
+- psychological-counseling
+- chinese
+- long-context
+- dialogue
+- campus-counseling
+---
 
-#model-type:
-##如 gpt、phi、llama、chatglm、baichuan 等
-#- gpt
+# CPCD-Chat-8B
 
-#domain:
-##如 nlp、cv、audio、multi-modal
-#- nlp
+CPCD-Chat-8B is a Chinese long-horizon campus psychological counseling dialogue model developed as part of the **Psy-Chronicle** project.
 
-#language:
-##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
-#- cn 
+- **Model page**: https://huggingface.co/EdwinUstb/CPCD-Chat-8B
+- **Project GitHub**: https://github.com/EdwinUSTB/Psy-Chronicle
 
-#metrics:
-##如 CIDEr、Blue、ROUGE 等
-#- CIDEr
+## Model Description
 
-#tags:
-##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
-#- pretrained
+CPCD-Chat-8B is fine-tuned from **Qwen3-8B-Base** on CPCD, a synthetic Chinese long-horizon campus psychological counseling dialogue dataset.
 
-#tools:
-##如 vllm、fastchat、llamacpp、AdaSeq 等
-#- vllm
----
-### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
-#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
+The model is designed for research on:
+
+- long-horizon psychological counseling dialogue generation;
+- campus mental-health support scenarios;
+- cross-session counseling memory;
+- student stress-event evolution;
+- temporal-causal reasoning in counseling conversations.
+
+## Dataset
+
+The model is trained on **CPCD**, a Chinese long-horizon dialogue dataset for college psychological counseling scenarios.
+
+CPCD is generated by the Psy-Chronicle framework, which constructs:
+
+1. structured student profiles;
+2. semester-level temporal stress event graphs;
+3. cross-session counseling dialogues;
+4. structured memory summaries.
+
+Dataset statistics:
+
+| Component | Value |
+|---|---:|
+| Student profiles | 100 |
+| Counseling dialogue units | 90,000 |
+| Chinese characters | ~11.45M |
+| Scenario | Chinese campus psychological counseling |
+
+## Psy-Chronicle Framework
+
+Psy-Chronicle synthesizes long-horizon counseling trajectories through a structured pipeline:
 
-SDK下载
-```bash
-#安装ModelScope
-pip install modelscope
+```text
+Student Profile
+    ↓
+Temporal Stress Event Graph
+    ↓
+Cross-session Counseling Simulation
+    ↓
+Structured Memory Update
+    ↓
+CPCD Dataset / CPCD-Bench
 ```
+
+Unlike single-turn or short multi-turn counseling datasets, Psy-Chronicle focuses on how college students' psychological distress accumulates, interacts, and evolves across a semester.
+
+## CPCD-Bench
+
+CPCD-Bench evaluates long-horizon campus counseling capabilities from three dimensions:
+
+| Task | Description |
+|---|---|
+| Session-level Response | Generate appropriate counselor responses using current context and historical memory |
+| Memory Recall | Recall factual information from long counseling histories |
+| Temporal-Causal Reasoning | Analyze chronological event development and causal relationships |
+
+## Usage
+
 ```python
-#SDK模型下载
-from modelscope import snapshot_download
-model_dir = snapshot_download('gouchaogui/CPCD-Chat')
-```
-Git下载
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_name = "EdwinUstb/CPCD-Chat-8B"
+
+tokenizer = AutoTokenizer.from_pretrained(
+    model_name,
+    trust_remote_code=True
+)
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+    trust_remote_code=True
+)
+
+messages = [
+    {
+        "role": "user",
+        "content": "我最近因为学业和家庭压力感到很焦虑，不知道该怎么办。"
+    }
+]
+
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+)
+
+inputs = tokenizer([text], return_tensors="pt").to(model.device)
+
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=512,
+    temperature=0.7,
+    top_p=0.9
+)
+
+response = tokenizer.decode(
+    outputs[0][inputs.input_ids.shape[-1]:],
+    skip_special_tokens=True
+)
+
+print(response)
 ```
-#Git模型下载
-git clone https://www.modelscope.cn/gouchaogui/CPCD-Chat.git
+
+## Intended Use
+
+This model is intended for research on:
+
+- psychological counseling dialogue modeling;
+- long-horizon dialogue generation;
+- cross-session memory modeling;
+- campus mental-health support datasets;
+- temporal-causal reasoning in counseling scenarios.
+
+## Limitations
+
+CPCD-Chat-8B is trained on synthetic counseling data. It may generate responses that are incomplete, overly generic, or inappropriate in high-risk mental-health situations.
+
+The model should **not** be used as a substitute for professional psychological counseling, clinical diagnosis, or treatment.
+
+## Ethical Considerations
+
+This model is released for research and evaluation purposes only.
+
+Users should be aware that:
+
+- the training data are synthetic and do not represent real counseling records;
+- the model may fail to detect or properly handle crisis situations;
+- any deployment-oriented use should include professional review, safety monitoring, and clear user-facing disclaimers.
+
+## Citation
+
+If you find this model or project useful, please cite:
+
+```bibtex
+@misc{gou2026psychronicle,
+  title  = {Psy-Chronicle: A Structured Pipeline for Synthesizing Long-Horizon Campus Psychological Counseling Dialogues},
+  author = {Chaogui Gou and Jiarui Liang},
+  year   = {2026},
+  note   = {Preprint},
+  url    = {https://github.com/EdwinUSTB/Psy-Chronicle}
+}
 ```
 
-<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>
+## License
+
+This model is released under the Apache License 2.0.