severo/embellishments

---
annotations_creators:
- no-annotation
license:
- cc0-1.0
size_categories:
- n<1K
source_datasets:
- original
pretty_name: Digitised Books - Images identified as Embellishments. c. 1510 - c. 1900.
JPG
---

# Dataset Card for severo/embellishments

## Dataset Description

- **Homepage:** [Digitised Books - Images identified as Embellishments - Homepage](https://bl.iro.bl.uk/concern/datasets/59d1aa35-c2d7-46e5-9475-9d0cd8df721e)
- **Point of Contact:** [Sylvain Lesage](mailto:[e-mail])

### Dataset Summary

This small dataset contains the thumbnails of the first 100 entries of [Digitised Books - Images identified as Embellishments. c. 1510 - c. 1900. JPG](https://bl.iro.bl.uk/concern/datasets/59d1aa35-c2d7-46e5-9475-9d0cd8df721e). It has been uploaded to the Hub to reproduce the tutorial by Daniel van Strien: [Using 🤗 datasets for image search](https://danielvanstrien.xyz/metadata/deployment/huggingface/ethics/huggingface-datasets/faiss/2022/01/13/image_search.html).

## Dataset Structure

### Data Instances

A typical row contains an image thumbnail, its filename, and the year of publication of the book it was extracted from.

An example looks as follows:
```
{
'fname': '000811462_05_000205_1_The Pictorial History of England being a history of the people as well as a hi_1855.jpg',
'year': '1855',
'path': 'embellishments/1855/000811462_05_000205_1_The Pictorial History of England being a history of the people as well as a hi_1855.jpg',
'img': ...
}
```

### Data Fields

- `fname`: the image filename.
- `year`: a string with the year of publication of the book from which the image has been extracted
- `path`: local path to the image
- `img`: a thumbnail of the image with a max height and width of 224 pixels

### Data Splits

The dataset only contains 100 rows, in a single 'train' split.

## Dataset Creation

### Curation Rationale

This dataset was chosen by Daniel van Strien for his tutorial [Using 🤗 datasets for image search](https://danielvanstrien.xyz/metadata/deployment/huggingface/ethics/huggingface-datasets/faiss/2022/01/13/image_search.html), which includes the code in Python to do it.

### Source Data

#### Initial Data Collection and Normalization

As stated on the British Library webpage:
> The images were algorithmically gathered from 49,455 digitised books, equating to 65,227 volumes (25+ million pages), published between c. 1510 - c. 1900. The books cover a wide range of subject areas including philosophy, history, poetry and literature. The images are in .JPEG format.d BCP-47 code is `en`.

#### Who are the source data producers?

British Library, British Library Labs, Adrian Edwards (Curator), Neil Fitzgerald (Contributor ORCID)

### Annotations

The dataset does not contain any additional annotations.

#### Annotation process

[N/A]

#### Who are the annotators?

[N/A]

### Personal and Sensitive Information

[N/A]

## Considerations for Using the Data

### Social Impact of Dataset

[N/A]

### Discussion of Biases

[N/A]

### Other Known Limitations

This is a toy dataset that aims at:
- validating the process described in the tutorial [Using 🤗 datasets for image search](https://danielvanstrien.xyz/metadata/deployment/huggingface/ethics/huggingface-datasets/faiss/2022/01/13/image_search.html) by Daniel van Strien,
- showing the [dataset viewer](https://huggingface.co/datasets/severo/embellishments/viewer/severo--embellishments/train) on an image dataset.

## Additional Information

### Dataset Curators

The dataset was created by Sylvain Lesage at Hugging Face, to replicate the tutorial [Using 🤗 datasets for image search](https://danielvanstrien.xyz/metadata/deployment/huggingface/ethics/huggingface-datasets/faiss/2022/01/13/image_search.html) by Daniel van Strien.

### Licensing Information

CC0 1.0 Universal Public Domain

原始信息汇总

数据集概述

数据集名称

• 名称: Digitised Books - Images identified as Embellishments. c. 1510 - c. 1900. JPG
• 别名: severo/embellishments

数据集描述

数据集摘要

• 内容: 包含100个图像缩略图，这些图像来自1510年至1900年间出版的书籍，被标识为装饰性图像。
• 用途: 用于复制Daniel van Strien的教程Using 🤗 datasets for image search。

数据集结构

数据实例

• 组成: 每个实例包含图像缩略图、文件名、以及图像来源书籍的出版年份。

• 示例:

  { fname: 000811462_05_000205_1_The Pictorial History of England being a history of the people as well as a hi_1855.jpg, year: 1855, path: embellishments/1855/000811462_05_000205_1_The Pictorial History of England being a history of the people as well as a hi_1855.jpg, img: ... }

数据字段

• fname: 图像文件名。
• year: 字符串，表示图像来源书籍的出版年份。
• path: 图像的本地路径。
• img: 图像缩略图，最大高度和宽度为224像素。

数据分割

• 分割方式: 单一的train分割，共100行。

数据集创建

源数据

• 来源: 从49,455本数字化书籍中算法收集，涵盖1510年至1900年间出版的书籍。
• 格式: JPEG格式。
• 数据生产者: 英国图书馆、英国图书馆实验室、Adrian Edwards (策展人)、Neil Fitzgerald (贡献者ORCID)。

数据集创建者

• 创建者: Sylvain Lesage at Hugging Face

许可证

• 许可证: CC0 1.0 Universal Public Domain