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gaoqiong
lm-evaluation-harness
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c41bb266
Commit
c41bb266
authored
May 18, 2023
by
lintangsutawika
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lm_eval/tasks/gsm8k/base.yaml
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lm_eval/tasks/gsm8k/base.yaml
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# "Training Verifiers to Solve Math Word Problems"
# https://arxiv.org/abs/2110.14168
# State-of-the-art language models can match human performance on many tasks, but
# they still struggle to robustly perform multi-step mathematical reasoning. To
# diagnose the failures of current models and support research, we introduce GSM8K,
# a dataset of 8.5K high quality linguistically diverse grade school math word problems.
# We find that even the largest transformer models fail to achieve high test performance,
# despite the conceptual simplicity of this problem distribution.
# NOTE: See the official implementation of the task:
# https://github.com/openai/grade-school-math/blob/master/grade_school_math/calculator.py
# for how to make use of the dataset's calculator annotations in your language
# model's sample/generation function.
# Homepage: https://github.com/openai/grade-school-math
# _CITATION = """
# @misc{cobbe2021training,
# title={Training Verifiers to Solve Math Word Problems},
# author={Karl Cobbe and Vineet Kosaraju and Mohammad Bavarian and Jacob Hilton and Reiichiro Nakano and Christopher Hesse and John Schulman},
# year={2021},
# eprint={2110.14168},
# archivePrefix={arXiv},
# primaryClass={cs.LG}
# }
# """
task
:
gsm8k_yaml
dataset_path
:
gsm8k
dataset_name
:
main
training_split
:
train
test_split
:
test
doc_to_target
:
"
{{answer.split('###
')[-1]}}"
use_prompt
:
"
qa-basic:question-newline-answer"
metric_list
:
-
metric
:
exact_match
aggregation
:
mean
higher_is_better
:
true
ignore_case
:
true
ignore_punctuation
:
true
delimiter
:
"
\n
"
filter_list
:
-
name
:
"
just
regex"
filter
:
-
function
:
"
regex"
regex_pattern
:
"
.*"
-
function
:
"
regex"
regex_pattern
:
"
.*"
-
name
:
"
another
regex"
filter
:
-
function
:
"
regex"
regex_pattern
:
"
.*"
-
function
:
"
regex"
regex_pattern
:
"
.*"
\ No newline at end of file
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