backend / custom_tasks.py
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feat: init
2bc5a2c
# ruff: noqa: F405, F403, F401
"""
Custom evaluation tasks for lighteval. Complete this task with your own configuration if you want to use a custom lighteval task.
This file generally create just a TASKS_TABLE and TASKS_GROUPS which are then imported by LightEval.
Author:
"""
from lighteval.tasks.lighteval_task import LightevalTaskConfig
from lighteval.tasks.requests import Doc
from lighteval.tasks.tasks_prompt_formatting import LETTER_INDICES
## EVAL WITH NO SUBSET ##
# This is how you create a simple tasks (like hellaswag) which has one single subset
# attached to it, and one evaluation possible.
task = LightevalTaskConfig(
name="myothertask",
prompt_function="prompt_fn", # must be defined in the file or imported from src/lighteval/tasks/tasks_prompt_formatting.py
suite=["community"],
hf_repo="",
hf_subset="default",
hf_avail_splits=[],
evaluation_splits=[],
few_shots_split="",
few_shots_select="",
metric=[""],
)
## EVALS WITH SUBSET
# This is how you create a subset task (like MMLU), which has several subset
# each being its own evaluation task.
# fmt: off
SAMPLE_SUBSETS = [] # list of all the subsets to use for this eval
# fmt: on
class CustomSubsetTask(LightevalTaskConfig):
def __init__(
self,
name,
hf_subset,
):
super().__init__(
name=name,
hf_subset=hf_subset,
prompt_function="prompt_fn", # must be defined in the file
hf_repo="",
metric=[""],
hf_avail_splits=[],
evaluation_splits=[],
few_shots_split="",
few_shots_select="",
suite=["community"],
generation_size=-1,
stop_sequence=None,
output_regex=None,
frozen=False,
)
## DEFINE YOUR PROMPT FUNCTIONS
# Define as many as you need for your different tasks
def prompt_fn(line, task_name: str = None):
"""Defines how to go from a dataset line to a doc object.
Follow examples in src/lighteval/tasks/tasks_prompt_formatting.py, or get more info
about what this function should do in the README.
"""
return Doc(
task_name=task_name,
query="",
choices="",
gold_index=0,
instruction="",
)
## STORE YOUR EVALS
SUBSET_TASKS = [CustomSubsetTask(name=f"mytask:{subset}", hf_subset=subset) for subset in SAMPLE_SUBSETS]
_TASKS = SUBSET_TASKS + [task]
## MODULE LOGIC
# You should not need to touch this
# Convert to dict for lighteval
TASKS_TABLE = [task.as_dict() for task in _TASKS]
if __name__ == "__main__":
print(t["name"] for t in TASKS_TABLE)
print(len(TASKS_TABLE))