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README.md

@@ -5,7 +5,7 @@ configs:
   data_files: "curated_csv/subsets/cullpdb_pc15.0_res0.0-1.0_len40-10000_R0.2_Xray_d2026_01_26_chains281.csv"
   default: true
 - config_name: "main"
-  data_files: "curated_csv/cullpdb_combined_chains.csv"
+  data_files: "curated_csv/cullpdb_compiled.csv"
 - config_name: "cullpdb_pc15.0_res0.0-1.0_noBrks_len40-10000_R0.2_Xray_d2026_01_26_chains267"
   data_files: "curated_csv/subsets/cullpdb_pc15.0_res0.0-1.0_noBrks_len40-10000_R0.2_Xray_d2026_01_26_chains267.csv"
 - config_name: "cullpdb_pc15.0_res0.0-1.2_len40-10000_R0.2_Xray_d2026_01_26_chains785"
@@ -501,7 +501,7 @@ Use the **subset dropdown** in the viewer to switch between the main table and 2
 
 | Item | Description |
 |------|-------------|
-| **Main CSV** | `curated_csv/cullpdb_combined_chains.csv` — 4,540,884 chains |
+| **Main CSV** | `curated_csv/cullpdb_compiled.csv` — 4,540,884 chains |
 | **Subsets** | `curated_csv/subsets/*.csv` — 242 files (same columns) |
 | **Index** | `curated_csv/cullpdb_list_fasta_index.csv` — 242 rows |
 
@@ -548,7 +548,7 @@ Full list of subset paths: `curated_csv/dataset_metadata.json` (keys `data_paths
 from huggingface_hub import hf_hub_download
 import pandas as pd
 
-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)
 ```
 
@@ -557,7 +557,7 @@ df = pd.read_csv(path)
 From repo root after clone/download:
 
 ```bash
-python src/filter_chains_csv.py --input curated_csv/cullpdb_combined_chains.csv --output my_filtered.csv --pc 20 --resolution-max 2.0 --no-breaks yes --R 0.25
+python src/filter_chains_csv.py --input curated_csv/cullpdb_compiled.csv --output my_filtered.csv --pc 20 --resolution-max 2.0 --no-breaks yes --R 0.25
 ```
 
 Options: `--pc`, `--pc-min`, `--pc-max`, `--resolution-min`, `--resolution-max`, `--no-breaks`, `--R`, `--method`, `--len-min`, `--len-max`.