Merge branch 'main' of https://huggingface.co/datasets/stefan-it/HisGermaNER

README.md

@@ -36,6 +36,8 @@ Note: we experimented with an existing NewsEye model, but the print M1 model is
 
 Only layout hints/fixes were made in Transkribus. So no OCR corrections or normalizations were performed.
 
+<img src="https://huggingface.co/datasets/stefan-it/HisGermaNER/resolve/main/assets/transkribus_wrz_17401109.png" width="500" height="500" />
+
 We export plain text of all newspaper pages into plain text format and perform normalization of hyphenation and the `=` character.
 After normalization we tokenize the plain text newspaper pages using the `PreTokenizer` of the [hmBERT](https://huggingface.co/hmbert) model.
 
@@ -43,6 +45,8 @@ After pre-tokenization we import the corpus into Argilla to start the annotation
 Note: We perform annotation at page/document-level. Thus, no sentence segmentation is needed and performed.
 In the annotation process we also manually annotate sentence boundaries using a special `EOS` tag.
 
+<img src="https://huggingface.co/datasets/stefan-it/HisGermaNER/resolve/main/assets/argilla_wrz_17401109.png" width="600" height="600" />
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 The dataset is exported into an CoNLL-like format after the annotation process.
 The `EOS` tag is removed and the information of an potential end of sentence is stored in a special column.