RikkaBotan/nanochat_saint_iberis_jp
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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 | Language | Tokens |
|---|---|---|---|
| fineweb2_ja | FineWeb2 (Japanese) | JA | 2.75B |
| finepdfs_ja | FinePDFs (Japanese subset) | JA | 1.00B |
| finewebedu_en | FineWeb Edu (English educational) | EN | 7.00B |
| finepdfs_en | FinePDFs (English subset) | EN | 2.25B |
Total tokens: 13B
The distribution emphasizes:
- High-quality educational English web data
- Solid Japanese coverage using both web and structured PDF extractions
- Balanced domain mixture suitable for reasoning, linguistic fluency, and instruction-following
🔧 Dataset Configuration
Below are the HuggingFace dataset sources and subsets used:
"fineweb2_ja": {"hf": "hotchpotch/fineweb-2-edu-japanese", "subset": "default"}
"finepdfs_ja": {"hf": "HuggingFaceFW/finepdfs", "subset": "jpn_Jpan"}
"finewebedu_en": {"hf": "HuggingFaceFW/fineweb-edu", "subset": "sample-350BT"}
"finepdfs_en": {"hf": "HuggingFaceFW/finepdfs", "subset": "eng_Latn"}
🌸 About us
Japanese independent researcher having shy and pampered personality. Twin-tail hair is a charm point. Interested in nlp. Usually using python and C.
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Models trained or fine-tuned on RikkaBotan/FineDataset_13B_JpEn