AxisMapper Medical AI Suite
Collection
16 SFT datasets for medical LLMs: ICD-10, DRG, PM-JAY, NER, radiology, and more. • 16 items • Updated
Datasets:
messages list |
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[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 28-year-old woman (1.65 m, 85 kg, BMI 31.2) was referred to our department five days postpartum with a ... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 75-year-old male patient was admitted to Zhejiang Provincial People’s Hospital on 23 November 2018 afte... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "We encountered a 69-year-old man who had localized right pleural metastases after undergoing nephrectomy ... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 68 year-old man with a history of coronary artery disease, hypertension, type II diabete mellitus, and ... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "The patient was a 70-year-old man who presented with exertional dyspnea, which had persisted for one week... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 21-year-old male presented to the emergency department (ED) with a 3-week history of progressively wors... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 69-year-old man with a history of hypertension, bilateral thalamic hemorrhage, and decreased kidney fun... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 74-year-old female presented to a local hospital with severe left lower extremity pain and oral thrush.... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 50-year-old male patient was reported to the Department of Oral Medicine and Radiology with the complai... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 68-year-old, 179 cm, 108 kg man presented to the authors’ preoperative anesthesia clinic for evaluation... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 34-year-old Hispanic female presented with complaints of progressive nasal congestion and mass in the r... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "We present the case of a 67-year-old man who presented to the outpatient clinic with urinary frequency, a... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 38 year old Cameroonian married male, presented to our health service with facial rash, oral mucosa sor... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "The 80-year-old male patient was admitted to the emergency department due to dyspnea; his medical history... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "Our patient is a 49-year-old Hispanic immigrant female with a 24-year history of painful RAS in the oral ... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 67-year-old woman, in good health other than systemic hypertension, lost consciousness soon after compl... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 41-year-old Asian man was transferred to the Center of Trauma Surgery in our hospital 6 hours after inj... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 38-year-old Hispanic male, without known cardiovascular diseases presented to the emergency room compla... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 55-year-old male smoker presented with typical anginal chest pain for three days. Upon arrival to the e... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 56-year-old female patient was transferred to our department of critical care medicine, Huashan hospita... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 50-year-old male was brought to the emergency department after he jumped from a 5-meter bridge in an at... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 75-year-old male patient was admitted with complaint of a painful ulceroproliferative growth in the lef... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 40 -year-old male patient, nondiabetic, nonsmoker and normotensive was presented with the history of pe... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 22-year-old female without any particular past medical history presented to us in October 2012 with the... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A healthy 11-year-old boy was referred to the clinics of Department of Pediatric Dentistry, following a s... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "In August 2017, a 48-year-old male, was referred to Rabin Medical Centre for the evaluation of a 2 cm dia... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A Japanese girl aged 16 years, 7 months, gravida 1 para 0, was referred to our hospital because of a susp... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "An 18 month old boy presented to our ocular oncology referral center with the diagnosis of leukocoria in ... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 40 years old male visited our out-patient department with the chief complaints of lower back pain and r... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 60-year old man was admitted to the hospital after falling off an electric scooter. He fell on outstret... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 9-year-old girl was presented to our hospital on referral from a peripheral hospital with a one-week hi... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 34-year-old woman, gravida 1, para 2, noticed a swelling and indolent mass at the back of the right low... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "We present the case of a 7-year-old male patient, diagnosed at the age of 3 years with PJS due to a surgi... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 66-year-old male patient was presented to us with severe intermittent claudication at the left lower li... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 32-year-old female presented to the Oral and Maxillofacial Clinic at Al Noor Specialist Hospital seekin... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 7-month-old boy, resident of Agra, Uttar Pradesh, was presented with complaints of delayed attainment o... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 61-year-old male who presented with a 1-year history of recurrent chest discomfort and palpitation was ... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 62-year-old man was admitted to the emergency department with a history of cough, shortness of breath a... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 37-year-old man was admitted in May 2011 with a 3-month history of headache refractory to pain medicati... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 2-year-old boy was referred to the Department of Oral and Maxillofacial Surgery of Children's Medical C... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 47-year-old woman was admitted to our hospital complaining of a mass in her face for 2 months. She had ... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 55-year-old gentleman presented with the chief complaints of right upper abdominal pain along with feve... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 24-year-old male attended the department with a painful ulcer under the third metatarsal head of his le... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 29-year-old lady presented at the surgical outpatient clinic of Samsung Medical Center with symptoms of... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "We herein present a case that was recently managed at our institution, the Department of Surgery of the S... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 44-year-old Caucasian female referred to the ER with acute abdominal pain. Past medical history reveale... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 39-year-old man presented to the emergency department with an 8-hour history of an acutely painful enla... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 25-year-old man with a medical history of macroglossia was referred to our department for the managemen... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "On February 2019, a 36 year old hirsute male presented to us with a recurrent (several episodes since the... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "The proband is a 39-year-old South Asian female of Indian origin who was diagnosed with systemic amyloido... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 56-year-old male with vision loss from sequential nonarteritic anterior ischemic optic neuropathy (NAIO... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 8 year old male was admitted to our Center to confirm a diagnosis of FASD.\nThe child lived in Poland u... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "An 84-year-old Caucasian female presented to the local emergency department with a recent history of seve... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 60-year-old renal transplant recipient was referred for consideration of RARP by a Urologist who was no... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 34 year old female patient reported to Department of Oral Medicine and Radiology, with a chief complain... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A male patient aged 8 years reported to the Outpatient Department of Pedodontics and Preventive Dentistry... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 52-year-old man with spontaneous pain and swelling in the right tongue region consulted his regular den... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A five-year-old female presented to a pediatric emergency department (ED) after having two seizures. Earl... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 31 year old Muslim female patient, housewife by occupation, reported to our department of psychiatry ac... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 75-year-old female had the habit of taking vinegar daily for 50 years. She was transported to our emerg... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "Case 2: A 23 year old man attended our clinic requesting a genetic test for HD. His mother developed clin... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 45-year-old Greek man with IACF was prospectively evaluated. The patient presented with right closed IA... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 59-year-old African-American man, with history of renal insufficiency, diabetes, hypertension, severe p... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 51-year-old male patient (R.R.), with good general health (ASA 1), nonsmoker, was referred to our depar... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 55-year old man with no past medical history was found to be in fast AF following a leg injury. He unde... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "An 18-year-old male patient was referred to our clinic after a second episode of superficial venous throm... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 56-year-old male was referred to the plastic surgery clinic with a four-year history of a skin lesion o... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 19 year old male presented to outpatient department with slow and progressive enlargement of tendinous ... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A healthy 45-year-old Caucasian female presented with swelling and discomfort in the upper right posterio... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 68-year-old woman was referred to our department in February 2008 for a second opinion regarding a meta... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "In early February of 2021, a previously healthy 57-year-old man was admitted to the local hospital with c... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 42-year-old woman came to the emergency department with concerns of dizziness and feeling sluggish for ... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 71-year-old Caucasian gentleman with a past medical history of chronic obstructive pulmonary disease (C... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "In July 2011, a 60-year-old caucasian male came to our Department referring recurrent episodes of hyphema... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 59-year-old white woman presented to the emergency department with acute right-sided weakness and memor... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 68-year-old man underwent an open aortic valve replacement because of severe aortic valve stenosis. The... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 32-year-old parturient, Gravida 2, Para 1, came at 38 weeks of gestation for spontaneous labor. She had... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 43-year-old male patient was evaluated in psychiatry policlinic due to the complaints of bursts of ange... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 65-year-old male was admitted for elective LC. He had a history of right upper quadrant pain and fatty ... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A four-year-old Japanese girl with no remarkable medical history was referred to our orthopedic clinic fo... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "An 18-year-old male student sustained an accidental gun shot injury to the left hip region, with a countr... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 38-year-old male of Southeast Asian descent presented to the emergency department with a sudden onset o... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A-68-year-old male with no significant past medical history presented to our hospital with acute respirat... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 47-year-old male patient fell from the second floor while he was working on a construction site, which ... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A fit and active 38-year-old female presented to the Accident and Emergency Department with a four-day hi... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "An 88-year-old male with severe diabetic peripheral neuropathy secondary to type 2 diabetes mellitus that... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 20-year-old unmarried female presented a well-circumscribed mobile lump in the upper outer quadrant of ... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "An 18-year-old Caucasian female presented with bilateral lower limb paraesthesias followed by increasing ... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 32 year old lady presented with recent onset left flank pain which was not associated with any precipit... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 57-year-old woman had presented with Raynaud's phenomenon and fever of unknown etiology at the age of 4... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "We report the case of a 7-year-old girl with metastatic medulloblastoma (T3b M1 according to the Chang st... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 29-year-old male patient presented with complaints of exophthalmos and swelling in his right eye, which... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 71-year old, female patient with a previous history of non-Hodgkin lymphoma and transient ischemic atta... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 67-year-old man presented to our ENT department with complaints of shortness of breath and dysphonia th... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "Case 2. A 53-year-old African American male with PMH of hypertension and drug use had been receiving hemo... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 60-year-old man presented with the history of progressive dysphagia, regurgitation and an offensive sme... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 72-year-old male patient with stomach cancer and S-phase colon cancer received ileostomy along with gas... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 37-year-old Chinese woman was evaluated for right tonsil swelling and a sore throat in our hospital. Sh... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 32 year old man presented to us with a 12 month history of infection around his lower right tibia and a... |
[
{
"role": "system",
"content": "You are a clinical NLP system. Extract all medical entities from the text as JSON: {conditions, drugs, dosages, procedures}."
},
{
"role": "user",
"content": "A 45-year-old man experienced abdominal pain and vomiting. He consulted a nearby doctor, who prescribed a... |
End of preview. Expand in Data Studio
Medical Named Entity Recognition (NER)
Part of the AxisMapper Medical AI Suite — 16 domain-specific SFT datasets for fine-tuning medical LLMs.
Built by AmareshHebbar | Studio Ilios / Humanova Minds
What this dataset does
Clinical text → structured JSON with conditions, drugs, dosages, procedures
Why download this
Train clinical NER models to extract structured data from unstructured clinical notes. Output is JSON-formatted for downstream pipeline integration.
Dataset stats
| Split | Rows |
|---|---|
| Train | 13,336 |
| Validation | 1,667 |
| Test | 1,668 |
| Total | 16,671 |
Data format
Every row is a messages list in chat format — compatible with Unsloth, TRL SFTTrainer, LLaMA-Factory, and any OpenAI-style fine-tuning pipeline:
{
"messages": [
{"role": "system", "content": "You are a ..."},
{"role": "user", "content": "Patient was prescribed Metformin 500mg twice daily for type 2 diabetes and Lisinopril 10mg once daily for hypertension."},
{"role": "assistant", "content": "{\"conditions\": [\"type 2 diabetes\", \"hypertension\"], \"drugs\": [\"Metformin\", \"Lisinopril\"], \"dosages\": [\"500mg twice daily\", \"10mg once daily\"], \"procedures\": []}"}
]
}
Data source
Clinical notes from AGBonnet/augmented-clinical-notes — medication, diagnosis, and procedure extraction → https://huggingface.co/datasets/AGBonnet/augmented-clinical-notes
All data is extracted from authoritative public sources. No LLM-generated or synthetic content.
Who should use this
Clinical NLP researchers, EHR data extraction engineers, pharmacovigilance teams, health AI startups.
Quick start
from datasets import load_dataset
ds = load_dataset("AmareshHebbar/medical-ner-sft")
print(ds["train"][0])
Fine-tuning example (Unsloth)
from unsloth import FastLanguageModel
from trl import SFTTrainer
from datasets import load_dataset
model, tokenizer = FastLanguageModel.from_pretrained(
model_name="unsloth/Qwen2.5-3B-Instruct",
max_seq_length=2048,
load_in_4bit=True,
)
dataset = load_dataset("AmareshHebbar/medical-ner-sft", split="train")
trainer = SFTTrainer(
model=model,
tokenizer=tokenizer,
train_dataset=dataset,
dataset_text_field="messages",
max_seq_length=2048,
)
trainer.train()
Related datasets in this collection
| Dataset | Task | Rows |
|---|---|---|
| icd10-coder-sft | ICD-10-CM coding | 74.7k |
| symptom-diagnoser-sft | Symptom → diagnosis | 119k |
| clinical-summarizer-sft | SOAP summarization | 30k |
| discharge-qa-sft | Discharge summary QA | 30k |
| pmjay-classifier-sft | PM-JAY packages | 11.1k |
| radiology-coder-sft | Radiology coding | 25k |
| medical-ner-sft | Clinical NER | 16.7k |
| hindi-medical-sft | Hindi medical QA | 19.7k |
Citation
@misc{axiomapper2026,
author = {Hebbar, Amaresh},
title = {AxisMapper: Medical AI Fine-tuning Dataset Suite},
year = {2026},
publisher = {HuggingFace},
url = {https://huggingface.co/collections/AmareshHebbar/axiomapper-medical-ai-suite}
}
AxisMapper is an open-source project. Star the repo, open issues, and contribute at GitHub.
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