Update README.md

README.md

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 annotations_creators:
 - expert-generated
 language: []
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 ## Dataset Description
 
-- **Homepage:** https://data.nls.uk/data/digitised-collections/chapbooks-printed-in-scotland/
-- **Repository:**
-- **Paper:**
+- **Homepage:** https://www.robots.ox.ac.uk/~vgg/research/chapbooks/
+- **Repository:** https://data.nls.uk/data/digitised-collections/chapbooks-printed-in-scotland/
+- **Paper:** https://www.robots.ox.ac.uk/~vgg/research/chapbooks/data/dutta2021visual.pdf
 - **Leaderboard:**
-- **Point of Contact:**
+- **Point of Contact:** giles.bergel@eng.ox.ac.uk
 
 ### Dataset Summary
 
-This dataset comprises of images from digitised chapbooks printed in Scotland and held by the [National Library of Scotland](https://www.nls.uk/). 
+This dataset comprises of images from chapbooks held by the [National Library of Scotland](https://www.nls.uk/) and digitised and published as its [Chapbooks Printed in Scotland]dataset(https://data.nls.uk/data/digitised-collections/chapbooks-printed-in-scotland/)
 
 > "Chapbooks were staple everyday reading material from the end of the 17th to the later 19th century. They were usually printed on a single sheet and then folded into books of 8, 12, 16 and 24 pages, and they were often illustrated with crude woodcuts. Their subjects range from news courtship, humour, occupations, fairy tales, apparitions, war, politics, crime, executions, historical figures, transvestites and freemasonry to religion and, of course, poetry. It has been estimated that around two thirds of chapbooks contain songs and poems, often under the title garlands." -[Source](https://data.nls.uk/data/digitised-collections/chapbooks-printed-in-scotland/)
 
+Chapbooks were frequently illustrated, particularly on their title pages to attract customers, usually with a woodblock-printed illustration, or occasionally with a stereotyped woodcut or cast metal ornament. Apart from their artistic interest, these illustrations can also provide historical evidence such as the date, place or persons behind the publication of an item.
 
-This dataset contains additional annotations for these chapbooks created by Giles Bergel and Abhishek Dutta. These annotations provide bounding annotations for illustrations contained on some of the Chapbook pages. 
+This dataset contains annotations for a subset of these chapbooks, created by Giles Bergel and Abhishek Dutta, based in the [Visual Geometry Group](https://www.robots.ox.ac.uk/~vgg/) in the University of Oxford. They were created under a National Librarian of Scotland's Fellowship in Digital Scholarship [awarded](https://data.nls.uk/projects/the-national-librarians-research-fellowship-in-digital-scholarship/) to Giles Bergel in 2020. These annotations provide bounding boxes around illustrations printed on a subset of the chapbook pages, created using a combination of manual annotation and machine classification, described in [this paper](https://www.robots.ox.ac.uk/~vgg/research/chapbooks/data/dutta2021visual.pdf). 
+
+The dataset also includes computationally inferred 'visual groupings' to which illustrated chapbook pages may belong. These groupings are based on the recurrence of illustrations on chapbook pages, as determined through the use of the [VGG Image Search Engine (VISE) software](https://www.robots.ox.ac.uk/~vgg/software/vise/)
 
-[More Information Needed]
 
 ### Supported Tasks and Leaderboards
 
 - `object-detection`: the dataset contains bounding boxes for images contained in the Chapbooks
 - `image-classification`: a configuration for this dataset provides a classification label indicating if a page contains an illustration or not. 
+- 'image-matching': a configuration for this dataset contains the annotations sorted into clusters or 'visual groupings' of illustrations that contain visually-matching content as determined by using the [VGG Image Search Engine (VISE) software](https://www.robots.ox.ac.uk/~vgg/software/vise/). 
 
 The performance on the `object-detection` task reported in the paper [Visual Analysis of Chapbooks Printed in Scotland](https://dl.acm.org/doi/10.1145/3476887.3476893) is as follows:
 
@@ -79,11 +82,20 @@ The performance on the `object-detection` task reported in the paper [Visual Ana
 | 0.95          | 0.973     | 0.892  |
 
 
-[More Information Needed]
+The performance on the `image classification` task reported in the paper [Visual Analysis of Chapbooks Printed in Scotland](https://dl.acm.org/doi/10.1145/3476887.3476893) is as follows: 
+
+Images in original dataset: 47329
+Numbers of images on which at least one illustration was detected: 3629
+
+Note that these figures do not represent images that contained multiple detections. 
+
+See the [paper](https://dl.acm.org/doi/10.1145/3476887.3476893) for examples of false-positive detections.
+
+The performance on the 'image-matching' task is undergoing evaluation.  
 
 ### Languages
 
-[More Information Needed]
+Text accompanying the illustrations is in English, Scots or Scottish Gaelic.
 
 ## Dataset Structure
 
@@ -103,55 +115,62 @@ The performance on the `object-detection` task reported in the paper [Visual Ana
 
 ### Curation Rationale
 
-[More Information Needed]
+The dataset was created to facilitate research into Scottish chapbook illustration and publishing. Detected illustrations can be browsed under publication metadata: together with the use of [VGG Image Search Engine (VISE) software](https://www.robots.ox.ac.uk/~vgg/software/vise/), this allows researchers to identify matching imagery and to infer the source of a chapbook from partial evidence. This browse and search functionality is available in this [public demo](http://meru.robots.ox.ac.uk/nls_chapbooks/filelist) documented [here](https://www.robots.ox.ac.uk/~vgg/research/chapbooks/)  
 
 ### Source Data
 
 #### Initial Data Collection and Normalization
 
-[More Information Needed]
+The initial data was taken from the [National Library of Scotland's Chapbooks Printed in Scotland dataset](https://data.nls.uk/data/digitised-collections/chapbooks-printed-in-scotland/) No normalisation was performed, but only the images and a subset of the metadata was used. OCR text was not used.
 
 #### Who are the source language producers?
 
-[More Information Needed]
+The initial dataset was created by the National Library of Scotland from scans and in-house curated catalogue descriptions for the NLS [Data Foundry](https://data.nls.uk) under the direction of Dr. Sarah Ames.
+
+ This subset of the data was created by Dr. Giles Bergel and Dr. Abhishek Dutta using a combination of manual annotation and machine classification, described below. 
 
 ### Annotations
 
 #### Annotation process
 
-[More Information Needed]
+Annotation was initially performed on a subset of 337 of the 47329 images, using the [VGG List Annotator (LISA] software (https://gitlab.com/vgg/lisa). Detected illustrations, displayed as annotations in LISA, were reviewed and refined in a number of passes (see [this paper](https://dl.acm.org/doi/10.1145/3476887.3476893) for more details). Initial detections were performed with an [EfficientDet](https://ai.googleblog.com/2020/04/efficientdet-towards-scalable-and.html) object detector trained on [COCO](https://cocodataset.org/#home), the annotation of which is described in [this paper](https://arxiv.org/abs/1405.0312) 
 
 #### Who are the annotators?
 
-[More Information Needed]
+Abhishek Dutta created the initial 337 annotations for retraining the EfficentDet model. Detections were reviewed and in some cases revised by Giles Bergel.
 
 ### Personal and Sensitive Information
 
-[More Information Needed]
+None
 
 ## Considerations for Using the Data
 
 ### Social Impact of Dataset
 
-[More Information Needed]
+We believe this dataset will assist in the training and benchmarking of illustration detectors. It is hoped that by automating a task that would otherwise require manual annotation it will save researchers time and labour in preparing data for both machine and human analysis. The dataset in question is based on a category of popular literature that reflected the learning, tastes and cultural faculties of both its large audiences and its largely-unknown creators - we hope that its use, reuse and adaptation will highlight the importance of cheap chapbooks in the spread of literature, knowledge and entertainment in both urban and rural regions of Scotland and the United Kingdom during this period. 
 
 ### Discussion of Biases
 
-[More Information Needed]
+While the original Chapbooks Printed in Scotland is the largest single collection of digitised chapbooks, it is as yet unknown if it is fully representative of all chapbooks printed in Scotland, or of cheap printed literature in general. It is known that a small number of chapbooks (less than 0.1%) within the original collection were not printed in Scotland but this is not expected to have a significant impact on the profile of the collection as a representation of the population of chapbooks as a whole.
+
+ The definition of an illustration as opposed to an ornament or other non-textual printed feature is somewhat arbitrary: edge-cases were evaluated by conformance with features that are most characteristic of the chapbook genre as a whole in terms of content, style or placement on the page.
+
+As there is no consensus definition of the chapbook even among domain specialists, the composition of the original dataset is based on the judgement of those who assembled and curated the original collection.
 
 ### Other Known Limitations
 
-[More Information Needed]
+Within this dataset, illustrations are repeatedly reused to an unusually high degree compared to other printed illustrations: the positioning of illustrations on the page and the size and format of chapbooks as a whole is also characteristic of the chapbook format in particular. The extent to which these annotations may be generalised to other printed works is under evaluation: initial results have been promising for other letterpress illustrations surrounded by texts. 
 
 ## Additional Information
 
 ### Dataset Curators
 
-[More Information Needed]
+Giles Bergel
+Abhishek Dutta
 
 ### Licensing Information
 
-[More Information Needed]
+In accordance with the [original data](https://data.nls.uk/data/digitised-collections/chapbooks-printed-in-scotland/), this dataset is in the public domain.   
 
 ### Citation Information