license:apache-2.0 size_categories:10K<n<100K format:parquet modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
license: apache-2.0
dataset_info:
  features:
  - name: ID
    dtype: float64
  - name: Website URL
    dtype: string
  - name: IIIF Manifest
    dtype: string
  - name: Lat
    dtype: float64
  - name: Long
    dtype: float64
  - name: Place 1
    dtype: string
  - name: Place 2
    dtype: string
  - name: Place 3
    dtype: string
  - name: Place 4
    dtype: string
  - name: Place 5
    dtype: string
  splits:
  - name: train
    num_bytes: 3003475
    num_examples: 12630
  download_size: 377684
  dataset_size: 3003475
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Bingley Collections

## Description
Godfrey Bingley Photographic Archive (Bingley Collections), were donated to the University of Leeds in 1913. It consists of entries detailing different artworks along with their IIIF manifests. This dataset aims to provide data for recognition and analysis tasks.

## Structure
The dataset includes the following columns:
- `ID`: The ID of the image in the University of Leeds Brotherton Library.
- `Website URL`: The URL of the collections on the University of Leeds Library website. 
- `IIIF Manfest`: Link to the IIIF manifest.
- `Lat`: The latitude of the town where the photo was taken.
- `Long`: The longitude of the town where the photo was taken.
- `Place 1`: The town where the photo was taken.
- `Place 2`: The county or region where the photo was taken.
- `Place 3`: The country or region where the photo was taken.
- `Place 4`: The country where the photo was taken.
- `Place 5`: The continent where the photo was taken.
- Additional columns as necessary.

## Usage
Here's how you can load the dataset:

```python
from datasets import load_dataset

dataset = load_dataset("PurifyMilk/BingleyCollections")

