Update src/about.py

src/about.py

@@ -15,12 +15,12 @@ class Task:
 class Tasks(Enum):
     # task_key in the json file, metric_key in the json file, name to display in the leaderboard 
     task1 = Task("PeKA", "acc", "PeKA*")
-    task2 = Task("PersBETS", "acc", "PersBETS*")
+    task2 = Task("PKBETS MCQA", "acc", "PKBETS MCQA*")
     task3 = Task("khayyam_challenge", "acc", "Khayyam Challenge")
     task4 = Task("parsinlu_mc", "acc", "ParsiNLU MCQA")
     task5 = Task("parsinlu_nli", "acc", "ParsiNLU NLI")
     task6 = Task("parsinlu_qqp", "acc", "ParsiNLU QQP")
-    # task7 = Task("persian_ARC", "acc", "Persian ARC")
+    task7 = Task("persian_ARC", "acc", "Persian ARC")
 
 NUM_FEWSHOT = 0 # Change with your few shot
 # ---------------------------------------------------
@@ -59,7 +59,7 @@ This benchmark can also be used by multilingual researchers to measure how well
 We use our own framework to evaluate the models on the following benchmarks (TO BE RELEASED SOON).
 ### Tasks 
 - PeKA: Persian Knowledge Assesment (0-shot) - a set of multiple-choice questions that tests the level of native knowledge in Persian language in more 15 domains and categories: From art to history and geography, cinema, tv, sports, law and medicine, and much more.
-- PK-BETS: Persian Bias Ethics Toxicity and Skills (0-shot) - a test of model's knowledge in Persian and its capability in linguistic skills such as Grammar and Praphrasing, and also questions examining the bias, ethics, and toxicity of the model.
+- PK-BETS: Persian Knowledge: Bias Ethics Toxicity and Skills (0-shot) - a test of model's knowledge in Persian and its capability in linguistic skills such as Grammar and Praphrasing, and also questions examining the bias, ethics, and toxicity of the model.
 - <a href="https://arxiv.org/abs/2404.06644" target="_blank">  Khayyam Challenge (Persian MMLU) </a>  (0-shot) - comprising 20,805 four-choice questions (of which we use 20,776, removing questions that are longer than 200 words) sourced from 38 diverse tasks extracted from Persian examinations, spanning a wide spectrum of subjects, complexities, and ages
 - <a href="https://arxiv.org/abs/2012.06154" target="_blank">  ParsiNLU MCQA </a> (0-shot) - a series of multiple-choice questions in domains of *literature*, *math & logic*, and *common knowledge*.
 - <a href="https://arxiv.org/abs/2012.06154" target="_blank">  ParsiNLU NLI </a> (max[0,3,5,10]-shot) - a 3-way classification to determine whether a hypothesis sentence entails, contradicts, or is neutral with respect to a given premise sentence.