CPsyCoun
importeddata/cpsycoun
[ACL 2024] CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- CC-BY-4.0(cc)
- Status
- maintained
- Maturity
- deployed
- Organization
- CAS-SIAT-XinHai
- Country
- unknown
- Repository
- github.com/CAS-SIAT-XinHai/CPsyCoun
- Documentation
- unknown
- Tags
- dataset · dataset-generation · emotional-intelligence · evaluation · llm · mental-health · nlp
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- fluprintdataset · dataset-generation
Import script needed to build FluPRINT database from source :computer:
- OpenGPTllm · nlp
A framework for creating grounded instruction based datasets and training conversational domain expert Large Language Models (LLMs).
- ReportQLdataset · llm
Code and dataset for paper - Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique
- NLP-Sentiment-Analysis-Mental-Healthmental-health · nlp
Performing sentiment analysis for binary classification with neural networks.
- MentalChat16Kllm · mental-health
A benchmark dataset designed to support the development and evaluation of large language models (LLMs) for conversational mental health assistance
- cactusllm · nlp
LLM Agent that leverages cheminformatics tools to provide informed responses.
- api.github.com/repos/CAS-SIAT-XinHai/CPsyCounretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-05-21, 253 stars, license reported as CC-BY-4.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/7.json→ .entries["cpsycoun"]
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