README.md

---
dataset_info:
  features:
  - name: url
    dtype: string
  - name: content
    dtype: string
  - name: perplexity
    dtype: float64
license: pddl
task_categories:
- text-generation
language:
- ja
---

# Filtered ABEJA-CC-JA

## Dataset Overview
This dataset is a filtered version of the large-scale Japanese pre-training corpus, [abeja-cc-ja](https://tech-blog.abeja.asia/entry/abeja-cc-ja-202409). It was created by duplicating the original dataset while excluding texts with a KenLM perplexity score. The goal is to extract high-quality Japanese text data to facilitate the training of language models.

## Data Structure

### Features
Each data entry contains the following attributes:
*   **`url`**: The source URL of the scraped data.
*   **`content`**: The extracted text body.
*   **`perplexity`**: The weighted average perplexity score of the entire document, calculated using KenLM.

### Directory Structure
The dataset is provided in Parquet format and is organized in a directory structure as shown below:
```text
/data/commom_crawl_0/
├── common_crawl_0_filtered_0000.parquet
├── common_crawl_0_filtered_0001.parquet
└── ...

```

## Data Processing (Filtering)

The filtering process applies the following logic to the text data:

* **KenLM Model Used**: [lighttransport/japanese-scoring-model](https://huggingface.co/lighttransport/japanese-scoring-model)
* **Filtering Condition**: Retains texts with a perplexity score strictly below 40 and excludes those scoring 40 or higher.


## About the Original Dataset

* **Original Source (AWS)**: https://registry.opendata.aws/abeja-cc-ja/
* **Original Source (Huggingface)**: https://huggingface.co/datasets/kajuma/ABEJA-CC-JA
* **Detailed Description**: [ABEJA Tech Blog: abeja-cc-ja-202409](https://tech-blog.abeja.asia/entry/abeja-cc-ja-202409)

## License

The license for this dataset strictly follows that of the original dataset:

> This data is available for anyone to use under the Common Crawl Terms of Use.