Update README.md

Dataset Description
General Information
Dataset Name: Reduced Medical Q&A Dataset
Version: 1.0
Description: This dataset is a reduced and balanced subset of the "Medical" dataset, a specialized collection featuring healthcare dialogues between doctors and patients. The dataset is designed to cover a broad range of medical topics for applications like NLP research, healthcare chatbot development, and medical information retrieval.
Size: ~3,000 entries
Format: JSON
Languages
The text data is primarily in English.
Dataset Structure
Data Instances
Each entry follows this structure:

\text{{"### Human:\\n[Human's text]\\n\\n### Assistant: [Assistant's text]"}}
Data Fields
text: Contains both the question ("Human") and answer ("Assistant") in the specified format.
Data Statistics
Number of Entries: 3,000
Topics Covered: Cardiology, Neurology, Gastroenterology, Mental Health, Oncology, Orthopedics, Endocrinology, Pulmonology, Dermatology, Pediatrics.
Dataset Creation
Curation Rationale
The dataset was curated to create a balanced and diverse set of medical Q&A pairs. Keyword-based sampling was used to ensure a wide coverage of medical topics.

Source Data
Original Dataset: "Medical" dataset curated from MedDialog, focusing on Icliniq, HealthcareMagic, and HealthTap
License: Unknown (assumed to be for educational/research use)
Size of Original Dataset: 24,000 rows
Annotations
No additional annotations; text-based dataset.
Dataset Usage
Use Cases
Training medical chatbots
Medical NLP research
Q&A systems for healthcare
Usage Limitations
The dataset is not a substitute for professional medical advice.
It is designed for research and educational purposes only.
Exercise caution in critical healthcare applications.
Additional Information
Keywords: medical, healthcare, Q&A, chatbot training, NLP research
Contributors: [Your Name/Organization]
Parent Dataset: "Medical" dataset from MedDialog

README.md

@@ -1,42 +1,87 @@
-Dataset Description
-General Information
-Dataset Name: Reduced Medical Q&A Dataset
-Version: 1.0
-Description: This dataset is a reduced and balanced subset of the "Medical" dataset, a specialized collection featuring healthcare dialogues between doctors and patients. The dataset is designed to cover a broad range of medical topics for applications like NLP research, healthcare chatbot development, and medical information retrieval.
-Size: ~3,000 entries
-Format: JSON
-Languages
-The text data is primarily in English.
-Dataset Structure
-Data Instances
-Each entry follows this structure:
-
-\text{{"### Human:\\n[Human's text]\\n\\n### Assistant: [Assistant's text]"}}
-Data Fields
-text: Contains both the question ("Human") and answer ("Assistant") in the specified format.
-Data Statistics
-Number of Entries: 3,000
-Topics Covered: Cardiology, Neurology, Gastroenterology, Mental Health, Oncology, Orthopedics, Endocrinology, Pulmonology, Dermatology, Pediatrics.
-Dataset Creation
-Curation Rationale
-The dataset was curated to create a balanced and diverse set of medical Q&A pairs. Keyword-based sampling was used to ensure a wide coverage of medical topics.
-
-Source Data
-Original Dataset: "Medical" dataset curated from MedDialog, focusing on Icliniq, HealthcareMagic, and HealthTap
-License: Unknown (assumed to be for educational/research use)
-Size of Original Dataset: 24,000 rows
-Annotations
-No additional annotations; text-based dataset.
-Dataset Usage
-Use Cases
-Training medical chatbots
-Medical NLP research
-Q&A systems for healthcare
-Usage Limitations
-The dataset is not a substitute for professional medical advice.
-It is designed for research and educational purposes only.
-Exercise caution in critical healthcare applications.
-Additional Information
-Keywords: medical, healthcare, Q&A, chatbot training, NLP research
-Contributors: [Your Name/Organization]
-Parent Dataset: "Medical" dataset from MedDialog
+# Dataset Card for Reduced Medical Q&A Dataset
+
+This dataset card provides comprehensive details about the Reduced Medical Q&A Dataset, which is a curated and balanced subset aimed for healthcare dialogues and medical NLP research.
+
+## Dataset Details
+
+### Dataset Description
+
+The Reduced Medical Q&A Dataset is derived from a specialized subset of the larger MedDialog collection. It focuses on healthcare dialogues between doctors and patients from sources like Icliniq, HealthcareMagic, and HealthTap. The dataset contains approximately 3,000 rows and is intended for a variety of applications such as NLP research, healthcare chatbot development, and medical information retrieval.
+
+- **Curated by:** Unknown (originally from MedDialog)
+- **Funded by [optional]:** N/A
+- **Shared by [optional]:** N/A
+- **Language(s) (NLP):** English
+- **License:** Unknown (assumed for educational/research use)
+
+### Dataset Sources [optional]
+
+- **Repository:** N/A
+- **Paper [optional]:** N/A
+- **Demo [optional]:** N/A
+
+## Uses
+
+### Direct Use
+
+- NLP research in healthcare dialogues
+- Development of healthcare question-answering systems
+- Medical information retrieval
+
+### Out-of-Scope Use
+
+- Not a substitute for certified medical advice
+- Exercise caution in critical healthcare applications
+
+## Dataset Structure
+
+Each entry in the dataset follows the structure: "### Human:\n[Human's text]\n\n### Assistant: [Assistant's text]"
+
+## Dataset Creation
+
+### Curation Rationale
+
+The dataset was curated to create a balanced set of medical Q&A pairs using keyword-based sampling to cover a wide range of medical topics.
+
+### Source Data
+
+#### Data Collection and Processing
+
+The data is text-based, primarily in English, and was curated from the larger "Medical" dataset featuring dialogues from Icliniq, HealthcareMagic, and HealthTap.
+
+#### Who are the source data producers?
+
+The original data was produced by healthcare professionals and patients engaging in medical dialogues on platforms like Icliniq, HealthcareMagic, and HealthTap.
+
+### Annotations [optional]
+
+No additional annotations; the dataset is text-based.
+
+## Bias, Risks, and Limitations
+
+- The dataset is not a substitute for professional medical advice.
+- It is designed for research and educational purposes only.
+
+### Recommendations
+
+Users should exercise caution and understand the limitations when using the dataset for critical healthcare applications.
+
+## Citation [optional]
+
+N/A
+
+## Glossary [optional]
+
+N/A
+
+## More Information [optional]
+
+N/A
+
+## Dataset Card Authors [optional]
+
+N/A
+
+## Dataset Card Contact
+
+N/A