Update README.md

README.md

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-# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
-# Doc / guide: https://huggingface.co/docs/hub/model-cards
-{}
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-datasets:
-- ddrg/math_formulas
-- ddrg/math_formula_retrieval
-- ddrg/math_text
-- ddrg/named_math_formulas
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 # MAMUT Bert (Mathematical Structure Aware BERT)
 
 <!-- Provide a quick summary of what the model is/does. -->
@@ -30,7 +17,7 @@ This model has been mathematically pretrained based on four tasks/datasets:
 - **[Named Math Formulas (NMF)](https://huggingface.co/datasets/ddrg/named_math_formulas):** Next-Sentence-Prediction (NSP)-like task associating a name of a well known mathematical identity (e.g., Pythagorean Theorem) with a formula representation (and the task is to classify whether the formula matches the identity described by the name)
 - **[Math Formula Retrieval (MFR)](https://huggingface.co/datasets/ddrg/math_formula_retrieval):** NSP-like task associating two formulas (and the task is to decide whether both describe the same mathematical concept(identity))
 
-[!Training Overview](img/mamutbert-training.png)
+![Training Overview](mamutbert-training.png)
 
 Compared to bert-base-cased, 300 additional mathematical [LaTeX tokens](added_tokens.json) have been added before the mathematical pre-training.