GitLab

* tuple should be considered as well

* set option to keep callable as callable

* Update nq_open.yaml

change regex

* Bump NQ version

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Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* benchmark yamls allow minor edits of already registered tasks

* add documentation

* removed print

* Add: kobest config file

* Add: kobest utils

* Add: README

* Update utils.py

* fix incorrect lookback protections

* bump generate_until task versions

* multimedqa

* Update medqa.yaml

* move to benchmarks folder

* add README.md

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Co-authored-by: Lintang Sutawika <lintang@sutawika.com>

* add hellaswag_nl

* add other languages and update readme to hellaswag

* refactor as new task

* update readme

* add endline to yaml files and readme.md

* add group, change folder location and update yaml file

* rename default hellaswag yaml file

* fix whitespace error in some labels

* downgrade log level of whitespace checking

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Co-authored-by: JorgeDeCorte <jorge.decorte@ravago.be>
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* Add example failing task

This task includes an invalid import. This will cause an exception and
the task will not be loaded. But this just results in a DEBUG level log
message, so in normal usage you'll see no error, and will be told the
task doesn't exist.

Here's an example command line to run the task:

    python -m lm_eval --model hf --model_args pretrained=rinna/japanese-gpt-1b --tasks fail

This task is based on a Japanese Winograd task, but that's not
important, and was just used due to familiarity.

* Do not ignore errors when loading tasks

* Change how task errors are logged

This makes the proposed changes from PR discussion.

1. Exceptions not related to missing modules/imports are logged as
   warnings.

2. module/import related exceptions are still logged at debug level, but
   if any of them happen there is a warning about it with instructions
   on how to show logs.

* Remove intentionally failing task

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Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com>

* fix group

* siqa: default.yml -> default.yaml

* max_gen_toks -> self.max_gen_toks

* add ids to task tests

* fix siqa

* fix gen_kwargs for openai-chat

* Add remove_whitespace to FLD benchmark

* bump task version

---------
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* change version field formatting in metadata

* mention versioning in new task guide

* add instructions for changelog

* run linters

* update kmmlu default formatting

* Update _default_kmmlu_yaml

* Delete lm_eval/tasks/kmmlu/utils.py

* add ruff and isort. remove black and flake8

* remove unnecessary dependencies

* remove dependency from table

* change order

* ran ruff

* check 3.9

* exclude evaluator

* update CI workflow

* use ruff config in pyproject.toml

* test

* add isort rules to ruff

* sort imports

* import `make_table`

* try stages for no-commit-to-branch

* turn on mypy for pre-commit

* test

* test

* test

* change no-commit-to-branch to default

* nits

* fixed dependency

* Correct column names and dataset names

* Remove kmmlu_general_physics.yaml and kmmlu_korean_language.yaml

* Update _default_kmmlu_yaml

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Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* Add IFEval task

* Check and download nltk punkt if not already downloaded

* Update gen_max_toks to 2048 to support "900 words+" instructions

* Resolve pre-commit linting issues

* Reduce max_gen_toks to 1280 to conserve token usage

* Add warning message in `process_results` call for non chat-finetuned models

* [fix] loading dataset from hub fails when the dataset name includes '.', as the program assumes it is on the local filesystem

* add FLD benchmark

* Update task.py

* [update] add group 'fld'

* [update] rename fld -> fld_default. add explanation to the readme

* Update README.md

---------
Co-authored-by: Lintang Sutawika <lintang@sutawika.com>