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Ramesh10/medical-emails-company-products-dataset

Medical Emails Classification Dataset - Company Products This dataset contains 800 synthetic medical emails for multi-label classification involving company products. Categories (200 emails each) # Classification String Products Involved 1 Medical Information Product A + Product B 2 Product Complaint Product A + Product B 3 Adverse Event, Product Complaint AE on Product A + PC on Product A + PC on Product B 4 Medical Information, Adverse Event… See the full description on the dataset page: https://huggingface.co/datasets/Ramesh10/medical-emails-company-products-dataset.

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Medical Emails Classification Dataset - Company Products

This dataset contains 800 synthetic medical emails for multi-label classification involving company products.

Categories (200 emails each)

#Classification StringProducts Involved
1Medical InformationProduct A + Product B
2Product ComplaintProduct A + Product B
3Adverse Event, Product ComplaintAE on Product A + PC on Product A + PC on Product B
4Medical Information, Adverse Event, Product Complaint, OtherMI on Product A + AE on Product B + PC on Non-Company Product X + Other on Product C

Product Naming

  • —Product A, Product B, Product C: Company products - used exclusively for company-related classifications
  • —Non-Company Product X: Uses real-world drug names from the approved list: Metformin, Atorvastatin, Amoxicillin, Ibuprofen, Omeprazole, Lisinopril, Levothyroxine, Amlodipine, Methotrexate

Format

Strict JSONL with 2 fields per line:

  • —instruction: Email subject and body (structured as "SUBJECT: ...\nBODY:\n...")
  • —output: JSON string containing classification result and analysis

Dataset Characteristics

  • —Total emails: 800 (all unique)
  • —No unicode escape characters: No \u2013 or similar escapes
  • —No parenthesis in analysis text
  • —Numeric normalization: All numbers written as digits
  • —Mixed senders: HCPs and non-HCPs

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Generated by ML Intern

This dataset repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.

  • —Try ML Intern: https://smolagents-ml-intern.hf.space
  • —Source code: https://github.com/huggingface/ml-intern

Usage

python
from datasets import load_dataset

dataset = load_dataset('Ramesh10/medical-emails-company-products-dataset')