Updated README.md with andrei fixes

README.md

@@ -33,7 +33,7 @@ What we did was:
 
 a) to vectorise the entire Major-TOM image data for Germany;
 
-b) used our algorithms and models (OPENCLIP_SIGLIP_400M)
+b) used the OPENCLIP_SIGCLIP_400M on the Quasara Platform for embedding generation
 
 c) no pre-training, no labelling happened in the preparation of this dataset
 
@@ -99,9 +99,9 @@ The MajorTOM-DE dataset can be utilized for various applications, including:
 |---------------|-----------------------------------------------------------------------------------------------------|
 | ID            | ID of the image/image part for which the embedding was calculated.                                   |
 | dat_row       | Row in the .dat file that can be used to match the embeddings to the MajorTOM datasets via metadata.paraquet dataset. |
-| image_type    | Specifies whether it is a Full image or a Splits image. Each image is split into 70 segments and vectorized. Splits image refers to a segment. |
+| image_type    | Each image is split into 70 segments and vectorized. |
 | coordinates   | Coordinates in the image that define the segment that was vectorized. Full images have no coordinates. |
-| split_configs | Explains how the images were split into segments. Full images have no split configs, but Splits images are all auto extra tiles with a default split setting of 70. |
+| split_configs | Quasara auto split configuration |
 | embeddings    | Vectors calculated from the image/image segment.                                                     |