Added explanation of new files.

README.md

@@ -13,6 +13,7 @@ The `data` folder contains
  - `catalog.csv`: the metadata and identifiers for all images in the dataset. This includes original data source, unique identifier within TreeOfLife10M, and the associated taxa information for the image. This is the file that will be updated, while preserving the `catalog-v1-dev.csv` file for ease of comparison.
 - `stats_avg_std_byClass.csv`: average and standard distribution of images given by class in `catalog.csv`. This is for both all 
 images, and images that have labels.
+- `predicted-catalog.csv`: the metadata and identifiers for all entries expected in the dataset, prior to webdataset creation. This includes original data source, unique identifier within TreeOfLife10M, and the associated taxa information. In version 3.3 (first time it was generated), it showed 27K more entries than in the webdataset and they all had full taxonomic rank filled.
 
  - `catalog-v1-dev.csv`: the metadata and identifiers for all images in the dataset. This includes original data source, unique identifier within TreeOfLife10M, and the associated taxa information for the image. This file will be maintained for v1 reference, and as such will not be updated.
  - `taxa_counts.csv`: count of distinct lower taxa within each higher taxon from `kingdom` down to 
@@ -26,6 +27,8 @@ images, and images that have labels.
 The `notebooks` folder contains
  - `ToL_catalog_EDA.ipynb`: more full EDA of TreeOfLife10M dataset using `catalog.csv`. To be updated as `catalog.csv` is updated, i.e., as the dataset is updated.
  - `ToL_catalog_EDA.py`: py file paired to `ToL_catalog_EDA.ipynb` to facilitate diff checking in case of cell text changes in notebook.
+ - `ToL_predicted-catalog_EDA.ipynb`: more full EDA of TreeOfLife10M dataset using `predicted-catalog.csv`. To be updated as `predicted-catalog.csv` is updated, i.e., as the dataset is updated.
+ - `ToL_predicted-catalog_EDA.py`: py file paired to `ToL_predicted-catalog_EDA.ipynb` to facilitate diff checking in case of cell text changes in notebook.
 
  - `BioCLIP_data_viz.ipynb`: notebook with quick basic stats for `catalog-v1-dev.csv`, generates `taxa_counts.csv`.
  - `BioCLIP_taxa_viz_bySource.ipynb`: generates data visualizations, in particular, the generation of visualizations in `visuals` folder and some histograms. The treemaps produced in the notebook are interactive.
@@ -33,7 +36,7 @@ The `notebooks` folder contains
 direction of standardization efforts. Maintained for v1 reference, should not be updated.
  - `missing_taxa_testGen.ipynb`: generates `tol_hierarchy_test.csv` to test [`check_taxa` script](https://github.com/Imageomics/open_clip/blob/main/scripts/evobio10m/check_taxa.py). Also observes species labeled as `(unidentified)` in EOL data.
 
-**Note:** run `pip install -r requirements.txt` before starting the visualization notebooks.
+**Note:** run `pip install -r requirements.txt` before starting the visualization notebooks. EDA notebooks only require `pandas` and `seaborn`.
 
 ### Visuals