Update readme. add human score calculation changes

README.md

@@ -9,10 +9,19 @@ Final Dissertation Submission Repository
 
 ## Repository Structure
 ```
+├── run.sh                          # Bash script to run project elements from one place
+├── data/                           # Holder from project data, filled using scripts
 ├── literature/
 |   └── report.pdf                  # Final submission report
 ├── agent/                          # Code for main project pipeline
-|   └── -- todo --
-└── supporting/                     # Code for visualisation tools and more
-    └── -- todo --
+|   ├── agent.ts                    # Graph definition file
+|   ├── conditionals/               # Conditional translations
+|   ├── prompts/                    # System promps, plus replacement code
+|   ├── tools/                      # Internal and LLM facing tools
+|   └── utils/                      # Logger
+└── supporting/                     
+    ├── dbkf/                       # Tool to download claims from DBKF for use in wrapper
+    ├── RAGAS_Service               # Small python API to make RAGAS metrics available in the TS projects (required to run pipeline)
+    ├── scorer                      # Frontend for labelling data, plus associated analysis
+    └── Wrapper                     # Bulk run pipeline on pre-downloaded claims
 ```

supporting/scorer/display.py

@@ -219,12 +219,20 @@ elif view == "Single Claim Random":
             for rank_position, idx in enumerate(ordered_indices):
 
                 claim_obj = claims[idx]
-
+                score = 0
                 if n == 1:
                     score = 1.0
                 else:
                     score = 1 - (rank_position / (n - 1))
 
+                if (claim_obj["extra_info"] != ""):
+                    print(claim_obj["extra_info"])
+                    if (claim_obj["extra_info"].find("PERFECT") != -1):
+                        score = 1
+                    else:
+                        score *= 0.5
+                    
+
                 claim_obj["human_score"] = round(score, 3)
 
             save_data(DATA_FILE, st.session_state.data)