license: unknown
configs:
- config_name: 0verflow_Shiny_Days
data_files:
- split: train
path: 0verflow_Shiny_Days/train-*
- config_name: AKABEiSOFT3_CharaBration_Otome_wa_Koi_shite_Charabureru
data_files:
- split: train
path: AKABEiSOFT3_CharaBration_Otome_wa_Koi_shite_Charabureru/train-*
dataset_info:
- config_name: 0verflow_Shiny_Days
features:
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: text
dtype: string
- name: audio_ID
dtype: string
splits:
- name: train
num_bytes: 940144571.088
num_examples: 37616
download_size: 1073144264
dataset_size: 940144571.088
- config_name: AKABEiSOFT3_CharaBration_Otome_wa_Koi_shite_Charabureru
features:
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: text
dtype: string
- name: audio_ID
dtype: string
splits:
- name: train
num_bytes: 1009291355.016
num_examples: 15376
download_size: 1153003715
dataset_size: 1009291355.016
task_categories:
- automatic-speech-recognition
- text-to-speech
language:
- ja
tags:
- speech
- anime
- japanese
size_categories:
- 100K<n<1M
Galgame VisualNovel Reupload
This repository is a reupload of the visual novel dataset OOPPEENN/56697375616C4E6F76656C5F44617461736574.
The goal of this reupload is to restructure the data for easier and more efficient use with the datasets library, instead of having to manually extract each archive file and parse json files of the original dataset.
Loading the entire dataset
To load and stream all voice lines from all games combined, simply load the train split. The library will automatically retrieve the data from all subsets.
from datasets import load_dataset
# This will stream all data from all games
dataset = load_dataset("joujiboi/GalgameDataset-reupload", split="train", streaming=True)
# Get the first example
first_example = next(iter(dataset))
print(first_example)
# {'audio': {'path': '...', 'array': ..., 'sampling_rate': 48000}, 'text': '...', 'audio_ID': '...'}
### Loading data from Single Game
To load data from only one game, use the name parameter with the game's subset name.
```python
from datasets import load_dataset
# Load only the data for 0verflow_Cross_Days subset
cross_days_subset = load_dataset("joujiboi/GalgameDataset-reupload", name="0verflow_Cross_Days", split="train")
print(f"Number of lines in Cross Days: {len(cross_days_subset)}")
You can get a list of all available games (subsets) like so:
from datasets import get_dataset_config_names
all_games = get_dataset_config_names("joujiboi/GalgameDataset-reupload")
print(all_games)
# ['0verflow_Cross_Days', '0verflow_School_Days_HQ', '0verflow_Shiny_Days', ...]
Reupload information
The audio files and transcribed text are identical to the original source. No data has been altered or removed.
The CATALOG.md and TOTAL.md files in this repository are copies from the original dataset.
The script used to perform this reupload is included in this repository as reupload_dataset.py.
Disclaimer, Copyright, and Legal Notice
The audio and text data in this dataset are derived from commercially available visual novels. These original works are protected by copyright, and the rights belong to their respective publishers and creators. The uploader of this repository does not own the copyright to any of the underlying creative works and does not claim to.
This repository's sole purpose is to restructure the publicly available data from the OOPPEENN/56697375616C4E6F76656C5F44617461736574 dataset into a format that is more accessible for potential non-commercial research in fields such as natural language processing and speech synthesis.
The original repository listed an MIT license. This is incorrect, as such a license can only be granted by the copyright holders. Therefore, this dataset should be considered to have NO LICENSE. All rights to the content remain with the original copyright holders.
The uploader of this dataset assumes no responsibility or liability for any legal consequences, damages, or losses that may arise from the use, misuse, or distribution of this dataset.
Users of this dataset are solely responsible for ensuring that their use complies with the copyright laws of their specific jurisdiction. By downloading or using this data, you acknowledge that you are doing so at your own risk.
If you are a copyright holder and believe that your work has been included in this dataset improperly, please open an issue on this repository. Valid requests for content removal will be honored promptly.