update

app.py

@@ -55,7 +55,7 @@ except Exception:
 
 
 raw_data, original_df = get_leaderboard_df(EVAL_RESULTS_PATH, EVAL_REQUESTS_PATH, COLS, BENCHMARK_COLS)
-update_collections(original_df.copy())
+# update_collections(original_df.copy())
 leaderboard_df = original_df.copy()
 
 plot_df = create_plot_df(create_scores_df(raw_data))

src/envs.py

@@ -6,11 +6,11 @@ from huggingface_hub import HfApi
 H4_TOKEN = os.environ.get("H4_TOKEN", None)
 
 REPO_ID = "HuggingFaceH4/open_llm_leaderboard"
-QUEUE_REPO = "open-llm-leaderboard/requests"
-RESULTS_REPO = "open-llm-leaderboard/results"
+QUEUE_REPO = "hallucinations-leaderboard/requests"
+RESULTS_REPO = "hallucinations-leaderboard/results"
 
-PRIVATE_QUEUE_REPO = "open-llm-leaderboard/private-requests"
-PRIVATE_RESULTS_REPO = "open-llm-leaderboard/private-results"
+PRIVATE_QUEUE_REPO = "hallucinations-leaderboard/private-requests"
+PRIVATE_RESULTS_REPO = "hallucinations-leaderboard/private-results"
 
 IS_PUBLIC = bool(os.environ.get("IS_PUBLIC", True))
 
@@ -22,7 +22,7 @@ EVAL_RESULTS_PATH = os.path.join(CACHE_PATH, "eval-results")
 EVAL_REQUESTS_PATH_PRIVATE = "eval-queue-private"
 EVAL_RESULTS_PATH_PRIVATE = "eval-results-private"
 
-PATH_TO_COLLECTION = "open-llm-leaderboard/llm-leaderboard-best-models-652d6c7965a4619fb5c27a03"
+PATH_TO_COLLECTION = "hallucinations-leaderboard/llm-leaderboard-best-models-652d6c7965a4619fb5c27a03"
 
 # Rate limit variables
 RATE_LIMIT_PERIOD = 7