Create 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

@@ -0,0 +1,42 @@
+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