src/about.py

from dataclasses import dataclass
from enum import Enum

@dataclass
class Task:
    benchmark: str
    metric: str
    col_name: str


# Select your tasks here
# ---------------------------------------------------
class Tasks(Enum):
    # task_key in the json file, metric_key in the json file, name to display in the leaderboard 
    task0 = Task("lid", "acc", "LID")
    task1 = Task("topic_classification", "acc", "TC")
    task2 = Task("rc_qa", "acc", "RC-QA")
    task3 = Task("nli", "acc", "NLI")
    task4 = Task("machine_translation_xx_eng", "chrf", "MT (xx-en)")
    task5 = Task("machine_translation_eng_xx", "chrf", "MT (en-xx)")

class SpeechTasks(Enum):
    # task_key in the json file, metric_key in the json file, name to display in the leaderboard
    task0 = Task("lid", "acc", "LID")
    task1 = Task("topic_classification", "acc", "TC")
    task2 = Task("rc_qa", "acc", "RC-QA")
    task3 = Task("asr", "cer", "ASR")
    task4 = Task("s2tt_xx_eng", "chrf", "S2TT (xx-en)")
    #task5 = Task("s2tt_eng_xx", "chrf", "S2TT (en-xx)")

NUM_FEWSHOT = 0 # Change with your few shot
# ---------------------------------------------------



# Your leaderboard name
TITLE = """<h1 align="center" id="space-title">mSTEB Leaderboard</h1>"""

# What does your leaderboard evaluate?
INTRODUCTION_TEXT = """
This leaderboard has the results of evaluation of models on mSTEB benchmark.
"""

# Which evaluations are you running? how can people reproduce what you have?
LLM_BENCHMARKS_TEXT = f"""
## Reproducibility
To reproduce our results please look at the github page for mSTEB:

https://github.com/McGill-NLP/mSTEB

"""

EVALUATION_QUEUE_TEXT = """
## Submit your results
Please provide the model name, csv file and select the appropriate result type to upload your evaluation results for mSTEB. 

Kindly format the results in the same way as provided in the sample csv files below. 
"""

CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
CITATION_BUTTON_TEXT = r"""
@misc{beyene2025mstebmassivelymultilingualevaluation,
  title  = {mSTEB: Massively Multilingual Evaluation of LLMs on Speech and Text Tasks}, 
  author = {Luel Hagos Beyene and Vivek Verma and Min Ma and Jesujoba O. Alabi 
            and Fabian David Schmidt and Joyce Nakatumba-Nabende and 
            David Ifeoluwa Adelani},
  year   = {2025},
  eprint = {2506.08400},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CL},
  url = {https://arxiv.org/abs/2506.08400}
}
"""