Datasetpublic

RohithMidigudla/gemma-health-medical-sft-balanced

Gemma Health Telugu SFT Splits: train: 146822 rows test: 36000 rows Each row contains: messages: TRL/Unsloth conversational SFT format. text: plain serialized chat text fallback. source, variant, prompt, response: traceability fields. from datasets import load_dataset dataset = load_dataset("RohithMidigudla/gemma-health-medical-sft-balanced", split="train", streaming=True) test_dataset = load_dataset("RohithMidigudla/gemma-health-medical-sft-balanced", split="test"… See the full description on the dataset page: https://huggingface.co/datasets/RohithMidigudla/gemma-health-medical-sft-balanced.

sourceHugging Faceupdated 4mo agoView on Hugging Face

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Dataset Card

Gemma Health Telugu SFT

Splits:

—train: 146822 rows
—test: 36000 rows

Each row contains:

—messages: TRL/Unsloth conversational SFT format.
—text: plain serialized chat text fallback.
—source, variant, prompt, response: traceability fields.

python

from datasets import load_dataset

dataset = load_dataset("RohithMidigudla/gemma-health-medical-sft-balanced", split="train", streaming=True)
test_dataset = load_dataset("RohithMidigudla/gemma-health-medical-sft-balanced", split="test", streaming=True)