Datasetpublic

kaushikdash/odia-gemma4-style-polish-mix

OdiaEdgeVoice Gemma4 Style Polish Mix Weighted dataset for improving Odia chat behavior, punctuation, concise answering, Romanized Odia handling, and refusal behavior. Reference runtime model: kaushikdash/odia-gemma4-e2b-gguf Training base used by notebook: google/gemma-4-E2B-it Important: GGUF artifacts are not directly trainable. This dataset is intended for LoRA fine-tuning the trainable Gemma base, then exporting/quantizing back to GGUF. Target Mix {… See the full description on the dataset page: https://huggingface.co/datasets/kaushikdash/odia-gemma4-style-polish-mix.

sourceHugging Facecc-by-nc-sa-4.0updated 5mo agoView on Hugging Face

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Dataset Card

OdiaEdgeVoice Gemma4 Style Polish Mix

Weighted dataset for improving Odia chat behavior, punctuation, concise answering, Romanized Odia handling, and refusal behavior.

Reference runtime model: kaushikdash/odia-gemma4-e2b-gguf

Training base used by notebook: google/gemma-4-E2B-it

Important: GGUF artifacts are not directly trainable. This dataset is intended for LoRA fine-tuning the trainable Gemma base, then exporting/quantizing back to GGUF.

Target Mix

json

{
  "aksharantar": 22000,
  "synthetic_instruction": 30000,
  "synthetic_cleanup": 30000,
  "indicnlp": 14000,
  "odia_text": 10000,
  "qa": 6000,
  "news": 4000
}

Actual Mix

json

{
  "synthetic_cleanup": 16843,
  "news": 4000,
  "synthetic_instruction": 17199,
  "odia_text": 10000,
  "qa": 5999,
  "aksharantar": 22000,
  "indicnlp": 13984
}

Known Source Notes

—Aksharantar helps Romanized Odia input.
—Synthetic instruction examples teach concise greetings, refusals, and answer style.
—Synthetic cleanup examples teach punctuation and spacing.
—Odia text / IndicNLP-like sources support fluency.
—QA/news sources support answer structure.

License note: this mix includes sources with non-commercial/share-alike terms, so treat the resulting dataset and LoRA as research/non-commercial unless you rebuild the mix from commercial-safe sources only.