Omid Ghahroodi
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from dataclasses import dataclass
from enum import Enum
@dataclass
class Task:
benchmark: str
metric: str
col_name: str
# Init: to update with your specific keys
class Tasks(Enum):
# task_key in the json file, metric_key in the json file, name to display in the leaderboard
# task0 = Task("task_name1", "metric_name", "First task")
# task1 = Task("task_name2", "metric_name", "Second task")
Analytical_Talent_LSS = Task("Analytical Talent LSS", "Acc", "Analytical Talent LSS")
Calculus_USS = Task("Calculus USS", "Acc", "Calculus USS")
Chemistry_USS = Task("Chemistry USS", "Acc", "Chemistry USS")
Discrete_Mathematics_USS = Task("Discrete Mathematics USS", "Acc", "Discrete Mathematics USS")
Economy_USS = Task("Economy USS", "Acc", "Economy USS")
Geography_USS = Task("Geography USS", "Acc", "Geography USS")
Geology_USS = Task("Geology USS", "Acc", "Geology USS")
Geometry_USS = Task("Geometry USS", "Acc", "Geometry USS")
History_USS = Task("History USS", "Acc", "History USS")
Logic_USS = Task("Logic USS", "Acc", "Logic USS")
Mathematical_and_Logical_Intelligence_UPS = Task("Mathematical and Logical Intelligence UPS", "Acc", "Mathematical and Logical Intelligence UPS")
Mathematics_LPS = Task("Mathematics LPS", "Acc", "Mathematics LPS")
Mathematics_LSS = Task("Mathematics LSS", "Acc", "Mathematics LSS")
Mathematics_UPS = Task("Mathematics UPS", "Acc", "Mathematics UPS")
Mathematics_USS = Task("Mathematics USS", "Acc", "Mathematics USS")
Mathematics_and_Statistics_USS = Task("Mathematics and Statistics USS", "Acc", "Mathematics and Statistics USS")
Natural_Sciences_LPS = Task("Natural Sciences LPS", "Acc", "Natural Sciences LPS")
Natural_Sciences_LSS = Task("Natural Sciences LSS", "Acc", "Natural Sciences LSS")
Natural_Sciences_UPS = Task("Natural Sciences UPS", "Acc", "Natural Sciences UPS")
Persian_Literature_LPS = Task("Persian Literature LPS", "Acc", "Persian Literature LPS")
Persian_Literature_LSS = Task("Persian Literature LSS", "Acc", "Persian Literature LSS")
Persian_Literature_UPS = Task("Persian Literature UPS", "Acc", "Persian Literature UPS")
Persian_Literature_USS = Task("Persian Literature USS", "Acc", "Persian Literature USS")
Philosophy_USS = Task("Philosophy USS", "Acc", "Philosophy USS")
Physics_USS = Task("Physics USS", "Acc", "Physics USS")
Probability_and_Statistics_USS = Task("Probability and Statistics USS", "Acc", "Probability and Statistics USS")
Psychology_USS = Task("Psychology USS", "Acc", "Psychology USS")
Social_Studies_LPS = Task("Social Studies LPS", "Acc", "Social Studies LPS")
Social_Studies_LSS = Task("Social Studies LSS", "Acc", "Social Studies LSS")
Social_Studies_UPS = Task("Social Studies UPS", "Acc", "Social Studies UPS")
Sociology_USS = Task("Sociology USS", "Acc", "Sociology USS")
Speed_and_Accuracy_UPS = Task("Speed and Accuracy UPS", "Acc", "Speed and Accuracy UPS")
Theology_LPS = Task("Theology LPS", "Acc", "Theology LPS")
Theology_LSS = Task("Theology LSS", "Acc", "Theology LSS")
Theology_UPS = Task("Theology UPS", "Acc", "Theology UPS")
Theology_USS = Task("Theology USS", "Acc", "Theology USS")
Verbal_and_Linguistic_Intelligence_UPS = Task("Verbal and Linguistic Intelligence UPS", "Acc", "Verbal and Linguistic Intelligence UPS")
Biology_USS = Task("‌Biology USS", "Acc", "‌Biology USS")
# Avg_on_all_tasks = Task("Avg on all tasks", "Acc", "Avg on all tasks")
# Avg_on_all_questions = Task("Avg on all questions", "Acc", "Avg on all questions")
# Your leaderboard name
TITLE = """<h1 align="center" id="space-title">Khayyam Challenge (PersianMMLU)</h1>"""
# What does your leaderboard evaluate?
INTRODUCTION_TEXT = """"""
# Intro text
# """
# Which evaluations are you running? how can people reproduce what you have?
LLM_BENCHMARKS_TEXT = f""""""
# ## How it works
# ## Reproducibility
# To reproduce our results, here is the commands you can run:
# """
EVALUATION_QUEUE_TEXT = """In progress"""
# ## Some good practices before submitting a model
# ### 1) Make sure you can load your model and tokenizer using AutoClasses:
# ```python
# from transformers import AutoConfig, AutoModel, AutoTokenizer
# config = AutoConfig.from_pretrained("your model name", revision=revision)
# model = AutoModel.from_pretrained("your model name", revision=revision)
# tokenizer = AutoTokenizer.from_pretrained("your model name", revision=revision)
# ```
# If this step fails, follow the error messages to debug your model before submitting it. It's likely your model has been improperly uploaded.
# Note: make sure your model is public!
# Note: if your model needs `use_remote_code=True`, we do not support this option yet but we are working on adding it, stay posted!
# ### 2) Convert your model weights to [safetensors](https://huggingface.co/docs/safetensors/index)
# It's a new format for storing weights which is safer and faster to load and use. It will also allow us to add the number of parameters of your model to the `Extended Viewer`!
# ### 3) Make sure your model has an open license!
# This is a leaderboard for Open LLMs, and we'd love for as many people as possible to know they can use your model 🤗
# ### 4) Fill up your model card
# When we add extra information about models to the leaderboard, it will be automatically taken from the model card
# ## In case of model failure
# If your model is displayed in the `FAILED` category, its execution stopped.
# Make sure you have followed the above steps first.
# If everything is done, check you can launch the EleutherAIHarness on your model locally, using the above command without modifications (you can add `--limit` to limit the number of examples per task).
# """
CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
CITATION_BUTTON_TEXT = r"""
@article{ghahroodi2024khayyam,
title={Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language?},
author={Ghahroodi, Omid and Nouri, Marzia and Sanian, Mohammad Vali and Sahebi, Alireza and Dastgheib, Doratossadat and Asgari, Ehsaneddin and Baghshah, Mahdieh Soleymani and Rohban, Mohammad Hossein},
journal={arXiv preprint arXiv:2404.06644},
year={2024}
}
"""