GitLab

* don't override do_sample if no value for it is passed

* Update gen_kwargs override condition

* Update huggingface.py

* Update huggingface.py

* run linters

* silence an erroneous warning

* delay filter init; remove `*args`

* bugfix

* optimize

* type hint

* raise Exception, not a string

Additional info https://peps.python.org/pep-0352/#exception-hierarchy-changes
https://docs.python.org/3.8/tutorial/errors.html#raising-exceptions

* Apply PEP8 recommendation to prefer isinstance

"Object type comparisons should always use isinstance() instead of comparing types directly"
https://peps.python.org/pep-0008/

* Remove dangerous default mutable values in arguments

https://pylint.readthedocs.io/en/stable/user_guide/messages/warning/dangerous-default-value.html

* Format logging messages with fstring (not with format)

Additional info
https://pylint.readthedocs.io/en/stable/user_guide/messages/warning/logging-format-interpolation.html
There are also discussions about the speed of formatting while logging or some unintended code executions
https://github.com/pylint-dev/pylint/issues/2395
https://stackoverflow.com/a/54368109
but at least one format (fstring one) will be used throughout the project

* Specify utf-8 encoding for `open` explicitly

If not specified, it may be supposed differently in different environments, OSes, and Python versions. See
https://peps.python.org/pep-0597/
https://docs.python.org/3.11/library/locale.html#locale.getencoding
https://docs.python.org/3.10/library/os.html#utf8-mode
https://pylint.readthedocs.io/en/stable/user_guide/messages/warning/unspecified-encoding.html

Helps also if some code from English language tasks is taken as inspiration for tasks in non-English languages.

* Use inline-ignoring comments to pass pre-commit instead of identity process

https://flake8.pycqa.org/en/3.0.1/user/ignoring-errors.html#in-line-ignoring-errors
https://www.flake8rules.com/rules/F841.html

flake8 comments are supported by ruff: https://docs.astral.sh/ruff/linter/#error-suppression

* added intel optimum

* added intel optimum in readme

* modified intel optimum

* modified intel optimum

* modified intel optimum

* modified install optimum

* modified path of IR file

* added openvino_device

* added openvino_device2

* changed optimum-causal to openvino-causal

* Update README.md

* Update README.md

* remove `lm_eval.base` import

* update openvino-causal -> openvino ; pass device through super().__init__()

* Update README.md

* Add optimum to tests dependencies

* apply pre-commit

* fix so tests pass

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

* get `doc` from instance

* acceletate bugfix: get ground doc from instance

* convert filter to `process_result`

* get docs from instances in `FilterEnsemble`

* rename

* nit

* better looping

* fix typehint

* manage default (greedy) gen_kwargs in vllm better

* mirror HF `do_sample`

* just need to set temp=0 for greedy

* don't use get_task_dict() as a helper, it will download the dataset!

* pre-commit

* Update README.md

---------
Co-authored-by: lintangsutawika <lintang@eleuther.ai>

* Update arc_easy.yaml

* Update flan_cot.yaml

* update HF dataset path

* Update freeform.yaml

* Update flan_cot.yaml

---------
Co-authored-by: Lintang Sutawika <lintang@eleuther.ai>

* Add `local-completions` support using OpenAI interface

* Refactor oa_completion

* Address tokenizer comments and change request chunks to batch size

* Add warning message for tiktoken backend

* fix formatting

* fix whitespace

* Update README.md

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

* add fix fordeciding if stderr is N/A or not

* process N/A

* tuple should be considered as well

* set option to keep callable as callable

* Update nq_open.yaml

change regex

* Bump NQ version

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

* add WIP device_map overrides

* update handling outside of accelerate launcher

* change .to(device) log to debug level

* run linter

* 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

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

* Refine scoring logic for multiple_target "exact_match" metric

* skip old tests from master

* skip old tests from master

* delete tests from master

* do not ensure ascii

* Update __main__.py

---------
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

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

* Remove self.dataset_path post_init process

* Update task.py

* Update task.py

* copies max_length from huggingface

* handle max_length properly

* get tokens from inputs

* substitute Collator for Reorderer

* `batch=auto` if using data_parallel

* nit

* cleanup

* update code comments

* `ray.shutdown()` after calling method if data_parallel_size > 1

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

* auto-batch requires len of iter

* handle case when batch_size="auto:N"

* 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

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