version v0.1

README.md

@@ -1,5 +1,5 @@
 ---
-title: SearchAgent Leaderboard
+title: SearchAgent_Leaderboard
 emoji: 🥇
 colorFrom: green
 colorTo: indigo

src/envs.py

@@ -4,17 +4,40 @@ from huggingface_hub import HfApi
 
 # Info to change for your repository
 # ----------------------------------
-TOKEN = os.environ.get("HF_TOKEN") # A read/write token for your org
+TOKEN = os.environ.get("HF_TOKEN")  # A read/write token for your org
 
-OWNER = "searchagent-leaderboard" # Change to your org - don't forget to create a results and request dataset, with the correct format!
-# ----------------------------------
+OWNER = "searchagent_leaderboard"
 
 REPO_ID = f"{OWNER}/leaderboard"
 QUEUE_REPO = f"{OWNER}/requests"
 RESULTS_REPO = f"{OWNER}/results"
 
-# If you setup a cache later, just change HF_HOME
-CACHE_PATH=os.getenv("HF_HOME", ".")
+# Resolve project root (two levels up from this file when packaged)
+_SRC_DIR = os.path.dirname(os.path.abspath(__file__))
+_PROJECT_ROOT = os.path.abspath(os.path.join(_SRC_DIR, os.pardir))
+
+
+def _resolve_cache_path() -> str:
+    """Determine where eval assets should be read from."""
+    # Highest priority: explicit environment override
+    env_override = os.getenv("EVAL_CACHE_PATH")
+    if env_override:
+        return os.path.abspath(env_override)
+
+    # Next: if HF_HOME contains the expected folders, use it
+    hf_home = os.getenv("HF_HOME")
+    if hf_home:
+        hf_home = os.path.abspath(hf_home)
+        expected_results = os.path.join(hf_home, "eval-results")
+        expected_queue = os.path.join(hf_home, "eval-queue")
+        if os.path.isdir(expected_results) or os.path.isdir(expected_queue):
+            return hf_home
+
+    # Fallback to project root so bundled demo data is found
+    return _PROJECT_ROOT
+
+
+CACHE_PATH = _resolve_cache_path()
 
 # Local caches
 EVAL_REQUESTS_PATH = os.path.join(CACHE_PATH, "eval-queue")