
# Dataset Card for severo/embellishments

Test: link to a space:

https://huggingface.co/spaces/severo/voronoi-cloth

https://severo-voronoi-cloth.hf.space


## 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:sylvain.lesage@huggingface.co)

### 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

annotations_creators:no-annotation size_categories:n<1K source_datasets:original license:cc0-1.0 region:us
{"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"}
TAGS
#annotations_creators-no-annotation #size_categories-n<1K #source_datasets-original #license-cc0-1.0 #region-us 


# Dataset Card for severo/embellishments

Test: link to a space:

URL

URL


## Dataset Description

- Homepage: Digitised Books - Images identified as Embellishments - Homepage
- Point of Contact: Sylvain Lesage

### 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. It has been uploaded to the Hub to reproduce the tutorial by Daniel van Strien: Using  datasets for image search.

## 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:


### 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, 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 by Daniel van Strien,
- showing the dataset viewer 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 by Daniel van Strien.

### Licensing Information

CC0 1.0 Universal Public Domain

# Dataset Card for severo/embellishments

Test: link to a space:

URL

URL ## Dataset Description

- Homepage: Digitised Books - Images identified as Embellishments - Homepage
- Point of Contact: Sylvain Lesage ### 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. It has been uploaded to the Hub to reproduce the tutorial by Daniel van Strien: Using  datasets for image search. ## 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: ### 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, 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 by Daniel van Strien,
- showing the dataset viewer 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 by Daniel van Strien. ### Licensing Information

CC0 1.0 Universal Public Domain
TAGS
#annotations_creators-no-annotation #size_categories-n<1K #source_datasets-original #license-cc0-1.0 #region-us 
 # Dataset Card for severo/embellishments

Test: link to a space:

URL

URL ## Dataset Description

- Homepage: Digitised Books - Images identified as Embellishments - Homepage
- Point of Contact: Sylvain Lesage ### 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. It has been uploaded to the Hub to reproduce the tutorial by Daniel van Strien: Using  datasets for image search. ## 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: ### 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, 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 by Daniel van Strien,
- showing the dataset viewer 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 by Daniel van Strien. ### Licensing Information

CC0 1.0 Universal Public Domain
passage: TAGS
#annotations_creators-no-annotation #size_categories-n<1K #source_datasets-original #license-cc0-1.0 #region-us 
# Dataset Card for severo/embellishments

Test: link to a space:

URL

URL## Dataset Description

- Homepage: Digitised Books - Images identified as Embellishments - Homepage
- Point of Contact: Sylvain Lesage### 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. It has been uploaded to the Hub to reproduce the tutorial by Daniel van Strien: Using  datasets for image search.## 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:### 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, 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'.