---
dataset_info:
  features:
  - name: url
    dtype: string
  - name: authors
    sequence: string
  - name: tags
    sequence: string
  - name: description
    dtype: string
  - name: likes
    dtype: int64
  - name: parts
    list:
    - name: clean_text
      dtype: string
    - name: date
      dtype: string
    - name: text
      dtype: string
    - name: title
      dtype: string
    - name: url
      dtype: string
  - name: part_count
    dtype: int64
  - name: title
    dtype: string
  - name: rating
    dtype: string
  - name: status
    dtype: string
  - name: direction
    dtype: string
  - name: category
    dtype: string
  - name: pairing
    dtype: string
  splits:
  - name: train
    num_bytes: 133011363906
    num_examples: 1390475
  download_size: 68013121186
  dataset_size: 133011363906
language:
- ru
pretty_name: Ficbook Refined
tags:
- not-for-all-audiences
- roleplay
task_categories:
- text-generation
size_categories:
- 100K<n<1M
---

# Ficbook dataset

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Description](#description)
- [Usage](#usage)
- [Personal and Sensitive Information](#personal-and-sensitive-information)

## Description

**Summary:** Dataset of 1.4M fan fiction stories from [ficbook.net](https://ficbook.net/). Dataset collection is still in progress.

**Script:** [create_ficbook.py](https://github.com/IlyaGusev/rulm/blob/master/data_processing/create_ficbook.py)

**Point of Contact:** [Ilya Gusev](phoenixilya@gmail.com)

**Languages:** Mostly Russian


## Usage

Dataset iteration:
```python
from datasets import load_dataset
dataset = load_dataset('IlyaGusev/ficbook', split="train", streaming=True)
for example in dataset:
    print(example["parts"][0]["clean_text"])
```

## Personal and Sensitive Information

Information about the original authors is included in the dataset where possible. Many stories from the dataset contain NSFW content.