AmareshHebbar/loinc-coder-sft

Lab Test CPT Coder (CLFS 2026)

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

Lab test descriptions → CPT code + Medicare payment rate (CY2026)

Why download this

Automate laboratory billing, build lab test lookup tools, verify CPT codes for clinical laboratory tests under the Medicare CLFS.

Dataset stats

Split	Rows
Train	0
Validation	0
Test	1
Total	1

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": "Lab test: Comprehensive metabolic panel"},
    {"role": "assistant", "content": "CPT Code: 80053
Test: Comprehensive metabolic panel
Medicare Payment Rate (CY2026): $14.52
Source: CMS CLFS CY2026"}
  ]
}

Data source

CMS Clinical Diagnostic Laboratory Fee Schedule CY2026 → https://www.cms.gov/medicare/payment/fee-schedules/clinical-laboratory

All data is extracted from authoritative public sources. No LLM-generated or synthetic content.

Who should use this

Lab billing teams, hospital laboratory directors, clinical lab LIS vendors.

Quick start

from datasets import load_dataset

ds = load_dataset("AmareshHebbar/loinc-coder-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/loinc-coder-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.