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---
task_categories:
- text-to-image
language:
- en
tags:
- not-for-all-audiences
size_categories:
- n<1K
---
# Bang Dream 数据集 / Bang Dream Dataset
本数据集包含截止至 2025 年 1 月 31 日的《BanG Dream!》企划中全部 51 名角色的相关图片及元数据。
/
This dataset contains images and metadata for all 51 characters in the "BanG Dream!" project as of January 31, 2025.
## 1. 数据集概述 / Dataset Overview
数据集主要包含以下几个部分:
/
The dataset mainly consists of the following parts:
* **角色信息 (bangdream_character_info.json)** :记录每个角色的详细信息,包括 ID、版权、核心标签、性别倾向、图片数量等。
/
**Character Information (bangdream_character_info.json)**: Records detailed information for each character, including ID, copyright, core tags, gender distribution, number of images, etc.
* **标签pid映射 (tag_mapping_full.json)**: 记录每个标签对应的图片 PID(图片唯一标识符)。
/
**Tag Mapping (tag_mapping_full.json)**: Records the PID (unique image identifier) of images corresponding to each tag.
* **角色图片**:存储在 `char_datasets/{hash_prefix}/{file_name}` 目录下,包含不同类型的图片和数据文件。
/
**Character Images**: Stored in the `char_datasets/{hash_prefix}/{file_name}` directory, containing different types of images and data files.
**数据来源:** 本数据集的图片及标签信息均来自 [Danbooru](https://danbooru.donmai.us/) 网站。
/
**Data Sources:** The images and tag information in this dataset are from the [Danbooru](https://danbooru.donmai.us/) website.
## 2. 角色信息 (bangdream_character_info.json) / Character Information (bangdream_character_info.json)
`bangdream_character_info.json` 文件以 JSON 格式存储了每个角色的详细信息。示例如下:
/
The `bangdream_character_info.json` file stores detailed information for each character in JSON format. An example is as follows:
```json
[
{
"_id": "mortis_(bang_dream!)",
"copyright": {
"bang_dream!": 1.0,
"bang_dream!_it's_mygo!!!!!": 1.0
},
"core_tag_update_time": {
"$date": "2025-02-21T05:21:42.583Z"
},
"core_tags": [
"long_hair",
"green_hair",
"hat",
"yellow_eyes",
"red_hat",
"beret",
"ascot",
"capelet"
],
"gender": {
"1girl": 0.3268633540372671
},
"id": 2258229,
"post_count": 1288
}
]
```
每个字段的含义如下:
/
The meaning of each field is as follows:
* `_id`: 角色的唯一标识符, 对应 Danbooru 上的角色 tag。
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`_id`: Unique identifier for the character, corresponding to the character tag on Danbooru.
* `copyright`: 版权信息,表示该角色在不同作品中的权重。
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`copyright`: Copyright information, indicating the weight of the character in different works.
* `core_tag_update_time`: 核心标签的更新时间。
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`core_tag_update_time`: The update time of the core tags.
* `core_tags`: 角色的核心标签列表。**这些标签直接对应 Danbooru 上的角色 tag。**
/
`core_tags`: List of core tags for the character. **These tags directly correspond to the character tags on Danbooru.**
* `gender`: 性别倾向。
/
`gender`: Gender distribution.
* `id`: 角色 ID。
/
`id`: Character ID.
* `post_count`: 包含该角色的图片数量。
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`post_count`: The number of images containing the character.
## 3. 标签映射 (tag_mapping_full) / Tag Mapping (tag_mapping_full)
`tag_mapping_full` 文件记录了每个标签对应的图片在Danbooru的PID。
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The `tag_mapping_full` file records the Danbooru PID of the images corresponding to each tag.
## 4. 图片存储结构 / Image Storage Structure
角色图片存储在 `char_datasets` 目录下,按照以下结构组织:
/
Character images are stored in the `char_datasets` directory, organized as follows:
```
char_datasets/
├── {hash_prefix}/
│ ├── {file_name}.tar
│ ├── {file_name}.npy
│ └── {file_name}.json
```
* `{hash_prefix}`:根据角色名计算的哈希前缀。计算方法:将角色名(UTF-8 编码)进行 SHA256 哈希,取结果的前两位。
/
`{hash_prefix}`: Hash prefix calculated from the character name. Calculation method: SHA256 hash the character name (UTF-8 encoded), and take the first two characters of the result.
* `{file_name}`:经过处理后的角色名。
/
`{file_name}`: The processed character name.
### 4.1 文件类型 / File Types
每个角色目录下包含三种类型的文件:
/
Each character directory contains three types of files:
* **{file_name}.tar**: 包含角色图片的压缩包。
* `train/1_char/`: 原始图片 (**WebP 格式**)。
* `train/1_stage/`: 上半身和头像的碎片图 (**WebP 格式**)。
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**{file_name}.tar**: Archive containing character images.
* `train/1_char/`: Original images (**WebP format**).
* `train/1_stage/`: Fragment images of the upper body and head (**WebP format**).
* **{file_name}.npy**: 包含 CCIP 特征数据, 用于ccip模型识别 model name:ccip-caformer-24-randaug-pruned 。
/
**{file_name}.npy**: Contains CCIP feature data, used for CCIP model recognition model name:ccip-caformer-24-randaug-pruned .
* **{file_name}.json**: 包含 `.tar` 文件的元数据信息。
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**{file_name}.json**: Contains metadata information for the `.tar` file.
## 5. 文件名处理 / Filename Processing
角色名会经过以下步骤处理成文件名:
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The character name is processed into a file name through the following steps:
1. **规范化**:移除非 ASCII 字符。使用 `unicodedata.normalize('NFKD', filename).encode('ASCII', 'ignore').decode('ASCII')` 实现。
/
**Normalization**: Remove non-ASCII characters. Implemented using `unicodedata.normalize('NFKD', filename).encode('ASCII', 'ignore').decode('ASCII')`.
2. **替换非法字符**:将 Windows 文件名中不允许的字符(`<>:"/\\|?*`)替换为下划线。使用 `re.sub(r'[<>:"/\\|?*]', '_', filename)` 实现。
/
**Replace Illegal Characters**: Replace characters not allowed in Windows filenames (`<>:"/\\|?*`) with underscores. Implemented using `re.sub(r'[<>:"/\\|?*]', '_', filename)`.
3. **去除前后空格**:使用 `filename.strip()`。
/
**Remove Leading/Trailing Spaces**: Use `filename.strip()`.
4. **空文件名处理**:如果文件名为空,则使用默认名称 `"untitled"`。
/
**Empty Filename Handling**: If the filename is empty, use the default name `"untitled"`.
5. **长度截断**:如果文件名长度超过 255 个字符,则截断至 255 个字符。
/
**Length Truncation**: If the filename length exceeds 255 characters, truncate it to 255 characters.
Python 代码如下:
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The Python code is as follows:
```python
import unicodedata
import re
def sanitize_filename(filename):
# 去除非 ASCII 字符
# Remove non-ASCII characters
filename = unicodedata.normalize('NFKD', filename).encode('ASCII', 'ignore').decode('ASCII')
# 替换不允许的字符为下划线
# Replace disallowed characters with underscores
filename = re.sub(r'[<>:"/\\|?*]', '_', filename)
# 去除前后空格
# Remove leading and trailing whitespace
filename = filename.strip()
# 确保文件名不为空,如果为空则使用默认名称
# Ensure the filename is not empty; use a default name if it is
if not filename:
filename = "untitled"
# 截断文件名长度(如果需要)
# Truncate the filename length (if necessary)
max_length = 255 # 大多数文件系统的最大文件名长度
# Maximum filename length for most file systems
if len(filename) > max_length:
filename = filename[:max_length]
return filename
```