CoD: Chain of Diagnosis Dataset for Interpretable Medical Agents

The CoD dataset was created by FreedomIntelligence as part of research on interpretable medical agents using a chain of diagnosis approach. It is associated with the 2024 arXiv paper 'CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis'. The dataset was last updated on the Hugging Face platform on August 23, 2024.

Use Cases

• Training or evaluating interpretable medical agents based on the chain of diagnosis concept.
• Benchmarking natural language processing models for clinical reasoning tasks.
• Studying the structure and logic of diagnostic reasoning processes in medical text.

Strengths

• Dataset is directly linked to a 2024 arXiv research paper, providing academic context.
• Last update timestamp is explicitly provided as 2024-08 23 04:57:06.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown, which may limit suitability assessment.

Provenance

Source

FreedomIntelligence, associated with the arXiv paper 'CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis'.

Collection Method

Likely created for research on interpretable medical agents, but specific collection method is not detailed.

Time Range

Associated with research published in 2024.

Freshness

Last updated 2024-08-23 04:57:06.

Geography

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