fix: update dataset repository references and clean up unused variables

README.md

@@ -9,4 +9,6 @@ app_file: app.py
 pinned: false
 ---
 
+HIKMA (Humanities and Islamic Knowledge Multitask Assessment) Leaderboard
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -15,7 +15,6 @@ overall_score_column = "overall"
 model_name_column = "model"
 precision_column = "precision"
 num_params_column = "#parameters (B)"
-num_params_range = [0, 100]  # in billions
 
 # Prepare the data
 leaderboard_df = prepare_leaderboard_data(overall_score_column, model_name_column)

envs.py

@@ -6,11 +6,11 @@ from huggingface_hub import HfApi
 # ----------------------------------
 TOKEN = os.environ.get("HF_TOKEN")
 
-OWNER = "alinf"  # Change to your HF username
-RESULT_DATASET_NAME = "crcis_multiple-choice_results"
+OWNER = "alinf"
+RESULT_DATASET_REPO = f'{OWNER}/hikma_results'
 # ----------------------------------
 
-REQUEST_QUEUE_REPO = f"{OWNER}/crcis_request_queue"
+REQUEST_QUEUE_REPO = f'{OWNER}/request_queue'
 
 # If you setup a cache later, just set/change 'HF_HOME' env variable
 CACHE_PATH = os.getenv("HF_HOME", ".")

utils.py

@@ -6,7 +6,7 @@ import gradio as gr
 import pandas as pd
 from datasets import load_dataset
 
-from envs import API, EVAL_REQUESTS_PATH, REQUEST_QUEUE_REPO, OWNER, RESULT_DATASET_NAME
+from envs import API, EVAL_REQUESTS_PATH, REQUEST_QUEUE_REPO, OWNER, RESULT_DATASET_REPO
 
 custom_css = """
 .gradio-container {
@@ -62,7 +62,7 @@ This leaderboard tracks the performance of Large Language Models on the **CRCIS
   - Quran - Tafsir
 - **Evaluation Method**: 5-shot evaluation using lm-evaluation-harness
 - **Metric**: Accuracy (%)
-- **Dataset**: [{OWNER}/{RESULT_DATASET_NAME}](https://huggingface.co/datasets/{OWNER}/{RESULT_DATASET_NAME})
+- **Dataset**: [{RESULT_DATASET_REPO}](https://huggingface.co/datasets/{RESULT_DATASET_REPO})
 
 ## Background and Goals
 
@@ -97,7 +97,7 @@ def load_results_from_hf_dataset():
     """Load results from HuggingFace dataset."""
     try:
         dataset = load_dataset(
-            f"{OWNER}/{RESULT_DATASET_NAME}", 
+            f"{RESULT_DATASET_REPO}", 
             split="results",
             download_mode="force_redownload"
         )