clarify embedding description

README.md

@@ -56,7 +56,6 @@ Image Classification, Zero-shot and few-shot Classification.
 /dataset/
     catalog.parquet
     embeddings/
-      txt_emb.npy
       txt_emb_species.json
       txt_emb_species.npy
     metadata/
@@ -73,7 +72,7 @@ Image Classification, Zero-shot and few-shot Classification.
             source=gbif/
 ```
 
-The `embeddings/` directory contains the [BioCLIP 2](https://huggingface.co/imageomics/bioclip-2) text embeddings; `_species` indicates these are for all 190,988,120 images with full taxonomic labels in the TreeOfLife-200M dataset.
+The `embeddings/` directory contains the [BioCLIP 2](https://huggingface.co/imageomics/bioclip-2) text embeddings for all 190,988,120 images with full taxonomic labels in the TreeOfLife-200M dataset.
 
 
 To avoid republishing existing datasets or interfering with original data source providers' ability to track use of their data, we provide all metadata here with step-by-step reproduction instructions in the [GitHub repository](https://github.com/Imageomics/TreeOfLife-toolbox/tree/main/docs#treeoflife200m-dataset-download-guide) to download the images and recreate the proper webdataset structure. This process will produce a collection of files named `shard-######.tar` in a `train` folder with which to work.