---
license: odc-by
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 55216152831
    num_examples: 6103514
  download_size: 28823398445
  dataset_size: 55216152831
---

# 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:

```bash
"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.

![RikkaBotan_Logo](https://cdn-uploads.huggingface.co/production/uploads/6629ba7d59854b02da014f64/vo4azDEv3SZNVDB6O609i.png)