Update README.md

README.md

@@ -4,12 +4,12 @@ language:
   - fr
   - en
 tags:
-  - ArXiv
+  - arXiv
   - multimodal
   - document-type objects
 ---
 
-We present the **Arxiv Figures & Tables Database (AFTdb)**, which consists of an aggregation of figures and tables from scientific articles sourced from the ArXiv platform.
+We present the **Arxiv Figures & Tables Database (AFTdb)**, which consists of an aggregation of figures and tables from scientific articles sourced from the arXiv platform.
 
 The purpose of this dataset is to train multimodal
 models specialized in images of document-type objects (graphs, functional diagrams, tables, etc.), rather than photographic-type images. The idea is that a model trained on this type of data will be more coherent within the context of document corpora than a model trained on pictorial compositions. To establish a connection between the two modalities (image and text), captions for each object are also provided. As captions can sometimes be very brief, the article's summary is also included to add context to the document object if necessary.
@@ -35,4 +35,8 @@ Both categories are compatible, and it is possible to load both types simultaneo
 ```python
 aftdb = load_dataset("cmarkea/aftdb", "figure+table", streaming=True)
 ```
-This is the **default** configuration.
+This is the **default** configuration.
+
+Statistical Description
+-----------------------
+The descended articles correspond to a portion of the articles that had their last modifications in the year 2023 on the arXiv platform.