Update README.md

README.md

@@ -586,14 +586,14 @@ Recurated in Hugging Face by: Akshaya Narayanasamy (akshayanarayanasamy[at]gmail
 
 | Item | Description |
 |------|-------------|
-| **Main CSV** | `curated_csv/cullpdb_combined_chains.csv` — single table with **4,540,884** chains (one row per chain). |
+| **Main CSV** | `curated_csv/cullpdb_compiled.csv` — single table with **4,540,884** chains (one row per chain). |
 | **Subset CSVs** | `curated_csv/subsets/*.csv` — **242** files, one per curation subset (same columns as main). |
 | **Index** | `curated_csv/cullpdb_list_fasta_index.csv` — **242** rows; maps subset basenames to list/FASTA paths and parameters. |
 
 ## Data paths (metadata)
 
 **Main and index files:**
-- `curated_csv/cullpdb_combined_chains.csv` — master chain table
+- `curated_csv/cullpdb_compiled.csv` — master chain table
 - `curated_csv/cullpdb_list_fasta_index.csv` — subset index
 - `curated_csv/cullpdb_full_compiled_list.csv` — full compiled list
 - `curated_csv/subsets/` — directory containing one CSV per subset (**242** files)
@@ -657,7 +657,7 @@ from huggingface_hub import hf_hub_download
 import pandas as pd
 
 # Download main CSV (large)
-path = hf_hub_download(repo_id="PRMegathon26/PISCES-CulledPDB", filename="curated_csv/cullpdb_combined_chains.csv", repo_type="dataset")
+path = hf_hub_download(repo_id="PRMegathon26/PISCES-CulledPDB", filename="curated_csv/cullpdb_compiled.csv", repo_type="dataset")
 df = pd.read_csv(path)
 
 # Or load a single subset