Update README with consolidated information description

README.md

@@ -11,7 +11,7 @@ tags:
 
 # PXR Challenge Multi-method Cofolding
 
-This dataset contains >40,000 cofolding predictions using three different methods (OpenFold3, Boltz2, Chai1) for the nuclear hormone receptor hPXR and with >600 ligands. 
+This dataset contains >45,000 cofolding predictions using three different methods (OpenFold3, Boltz2, Chai1) for the nuclear hormone receptor hPXR and with >600 ligands. 
 Ligands are derived from the OpenADMET PXR Challenge and contain known binders, known agonists, and inactives.  More on the ligand set can be found here: https://huggingface.co/spaces/openadmet/pxr-challenge
 
 Each cofolding method was run using default settings and untemplated, except where noted.  Each protein/ligand/method/parameter set generated 20-25 structures (5 samples * 4 or 5 random seeds)
@@ -23,6 +23,7 @@ Deposited is the raw cofolding output with all confidence predictions and other
 - `pdb64`: cofolding predictions for a 70-system rerefined PXR crystal set. Untemplated and templated with the protein crystal coordinates.
 - `structure_challenge`: cofolding predictions and inputs for 184 structure-challenge ligands.
 - `activity_challenge`: cofolding predictions for 513 activity-challenge ligands.
+- `consolidated`: Extracted and aligned .cif files from all cofolding runs.  A .csv file with various structure and cofolding-based features for each sample.
 
 ### Top-level metadata:
 - `dataset_manifest.csv`: dataset/archive summary.