Sign inGet started
Dataset · Hugging Face

RikkaBotan/FineDataset_13B_JpEn

Saint Iberis Pretraining Dataset A curated multilingual corpus designed for training Saint Iberis, an LLM developed by RikkaBotan with a gentle, introspective personality and strong bilingual (JA/EN) capabilities.This dataset blends high-quality Japanese and English web + PDF corpora with carefully chosen token ratios to balance linguistic coverage and domain diversity. 📚 Dataset Overview The dataset is composed of four major sources: Key Description… See the full description on the dataset page: https://huggingface.co/datasets/RikkaBotan/FineDataset_13B_JpEn.

Author / organizationRikkaBotan
License (as declared)odc-by
Downloads516 (as reported by Hugging Face)
Likes1
Created21 November 2025
Last updated at source23 November 2025
Embed this entry
<iframe src="https://silytics.si/embed/item/aba9f8fa-14c5-4446-9c9a-4849d36fd218" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

516 now (+73 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 16 Oct 2026 Description: Saint Iberis Pretraining Dataset A curated multilingual corpus designed for training Saint Iberis, an LLM developed by RikkaBotan with a gentle, introspective personality and strong bilingual (JA/EN) capabilities.This dataset blends high-qu → Saint Iberis Pretraining Dataset A curated multilingual corpus designed for training Saint Iberis, an LLM developed by RikkaBotan with a gentle, introspective personality and strong bilingual (JA/EN) capabilities.This dataset blends high-qu

Changes detected by Silytics between refreshes of the source.

More from RikkaBotan

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.