Update README.md

README.md

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-license: cc-by-nc-4.0
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+---
+license: cc-by-nc-4.0
+task_categories:
+- automatic-speech-recognition
+language:
+- en
+tags:
+- medical
+---
+This dataset contains real-world transcriptions of doctor–patient conversations in English (USA accent), focused on two medical specialties: ENT (Ear, Nose, Throat) and Dermatology and Orthopaedic. All conversations were originally recorded in clinical settings and transcribed by human experts. To comply with privacy regulations, only the transcription files are released, with all personally identifiable information (PII) fully redacted.
+Due to regulations, we are only able to publish transcripts of those conversations, can't publish audio due to biometric identification.
+
+🏥 Domains: ENT and Dermatology and Orthopaedic (e.g., symptoms, diagnoses, treatment plans, patient questions, orthopaedic)
+
+🗣️ Language: English with U.S people, spoken in real clinical consultations
+
+📝 Transcriptions:  high-accuracy transcripts 
+
+🔒 PII Redaction: All transcripts have been processed to remove sensitive personal information, including:
+
+account_number, banking_information, blood_type, credit_card_number, credit_card_expiration, 
+credit_card_cvv, date, date_interval, date_of_birth, drivers_license, drug, duration, 
+email_address, event, filename, gender_sexuality, healthcare_number, injury, ip_address, 
+language, location, marital_status, medical_condition, medical_process, money_amount, 
+nationality, number_sequence, occupation, organization, passport_number, password, person_age, 
+person_name, phone_number, physical_attribute, political_affiliation, religion, statistics, 
+time, url, us_social_security_number, username, vehicle_id, zodiac_sign
+
+🔐 License: Released solely for research and AI model fine-tuning purposes. Commercial use, resale, and redistribution are not permitted.
+
+🎓 Brought to you by AIxBlock – a decentralized platform for AI development and workflow automations, with a commitment to enabling the development of fair, accurate, and responsible AI systems through high-quality open datasets.