Update README.md

README.md

@@ -41,7 +41,7 @@ The *DiEm HTR* dataset is a ground truth dataset for historical danish handwriti
 
 The *Digitalisering af Enesteministerialbøger* project (DiEm) at the Danish National Archives aims to transcribe and make publically available all of the danish parish registers from before the 1813-reform by using the Handwritten Text Recognition (HTR) platform Transkribus. To this end, ground truth training data for the HTR-models have been created, which we now make publically available through Hugging Face.
 
-The*DiEm* dataset consists of 975 transcribed images, containing a total of 67410 text lines and 383339 words.
+The *DiEm HTR* dataset consists of 975 transcribed images, containing a total of 67410 text lines and 383339 words.
 
 The following parish registers are part of the dataset:
 
@@ -78,7 +78,7 @@ The following parish registers are part of the dataset:
 
 <!-- This section describes suitable use cases for the dataset. -->
 
-The dataset is meant primarily as ground truth for training HTR models for 17th and 18th century danish handwriting. A separate dataset will be made available containing the ground truth pages for our region detection model as these only partly overlap with the ground truth for HTR.
+The dataset is meant primarily as ground truth for training HTR models for 17th and 18th century danish handwriting. A separate dataset will be made available containing the ground truth pages for our region detection model as these only partly overlap with the ground truth for HTR. There is also a separate dataset available on Hugging Face, *DiEm HTR Numbers*, which focuses on handwritten numbers from the 18th century.
 
 Unpacking the parquet file and putting the images in a root folder and the alto/page xmls in subfolders called 'alto' and 'page' will allow import of the transcriptions into the desktop client of Transkribus, if you want to include the dataset as training data in your Transkribus project. We have created a small tool 'UnpackRAParquet' that can help you unpack the parquet-files in the proper structure, which is included in the tools/ subfolder of this dataset. Windows binary: [UnpackRAParquet.exe](https://huggingface.co/datasets/RA-Data-Science/DiEm_HTR/blob/main/tools/UnpackRAParquet1.0.0.exe) (SHA256: 30A4E7F67EABD275514721C0FD1AEE99F04C6A376CBEA5F027E1E5BD95458AAF)
 
@@ -131,6 +131,8 @@ Volunteers in the DiEm-project have proofread all the parish records to Ground T
 
 The transscriptions used initially as ground truth training data has been created by various genealogists in Denmark, often as part of research into their own ancestry. The transscriptions have since been verified and corrected by project workers.
 
+The original books were written by parish clerks and priests. The scans of the books have been made partly at the department of retrodigitization at the National Archives of Denmark and partly by project volunteers.
+
 ### Annotations [optional]
 
 <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
@@ -170,24 +172,26 @@ Users should be aware that:
 - We use strikethrough, underline, sub- and superscript in the training data.
 - Only the Ground Truth pages from the parish records are a part of this dataset.
 - We always use the sign ¬ when there are hyphenated words in the text.
+- The following special characters are present in the dataset: °, ¼, ½, ¾, ÷, ɔ, Θ, Ω, ψ, †, ☿, ♂
 - Nine of the parish records are manually transcribed and seven are recognised using early versions of the DiEm-projects text recognition models and corrected afterwards. 
+  
 
 
-## Citation [optional]
+## Citation
 
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 
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-## Glossary [optional]
+## Glossary
 
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-## More Information [optional]
+## More Information
 
-Thank you to the Augustinus Foundation for funding the DiEm project.
+Our thanks and gratitude goes to the Augustinus Foundation for funding the DiEm project, as well as to all the volunteers whose contributions big and small are vital to the success of the project.
 
 ## Dataset Card Contact