Datasets:

cmarkea
/

aftdb

@@ -10,8 +10,8 @@ For this reason, a corpus of scientific articles was prioritized. Due to the sci
 The database is divided into two types of document objects: figures and tables. For the table part, it is possible to approach two different types of learning. The first, similar to figures, associates the image with the caption. However, in the data field, the LaTeX source code of the table is also provided. An objective can be to take an image of a table and convert it into text using this source code.
-Loading the database:
----------------------
 The figure part is relatively substantial, and it is advisable to use the dataset in streaming mode:
 ```python

 The database is divided into two types of document objects: figures and tables. For the table part, it is possible to approach two different types of learning. The first, similar to figures, associates the image with the caption. However, in the data field, the LaTeX source code of the table is also provided. An objective can be to take an image of a table and convert it into text using this source code.
+Loading the database
+--------------------
 The figure part is relatively substantial, and it is advisable to use the dataset in streaming mode:
 ```python