GitLab

* Update pyproject.toml with watsonx package extra
Signed-off-by: kiersten-stokes <kierstenstokes@gmail.com>

* Remove unused function
Signed-off-by: kiersten-stokes <kierstenstokes@gmail.com>

---------
Signed-off-by: kiersten-stokes <kierstenstokes@gmail.com>

* add support for IBM watsonx_llm

* add ibm_watsonx_ai package to optional-dependencies

* move global scope imports to inner scope

* change cache to lru_cache

* fix circular import

* use 3.8 typing

* use 3.8 typing

---------
Co-authored-by: Baber <baber@hey.com>

* Replace generic exception classes with a more specific ones

* rerun pre-commit to pass linter tests

* Revert "rerun pre-commit to pass linter tests"

This reverts commit 67f88ccf144469853217704520e613196042d859.

* reduce repetitions in errors or so

* Replace generic exception class with a more specific one

Update prompt according to: 
https://github.com/ikergarcia1996/NoticIA/blob/main/prompts.py

* Fix Regex Pattern for CoT experiments

---------

I find out this bug by comparing the code between hendrycks_math and minerva_math.

* added tasks to spanish_bench

* fixed capitalization in escola and run pre-commit

* Update _flores_common_yaml

* Update _flores_common_yaml

* Update direct_yaml

* Update cot_yaml

* Update cot_yaml

* Update _flores_common_yaml

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

* Add Unitxt Multimodality Support
Signed-off-by: elronbandel <elronbandel@gmail.com>

* Update
Signed-off-by: elronbandel <elronbandel@gmail.com>

* Fix formatting
Signed-off-by: elronbandel <elronbandel@gmail.com>

---------
Signed-off-by: elronbandel <elronbandel@gmail.com>

* max_images are passed on to vllms `limit_mm_per_prompt`

* replace max image placeholders in string

* handle chat_template error

* move `fewshot_random_seed` to global

* switch conditional checks to `self.backend`

* nit

* nit

* commit feedback

* fix test; update precommit hooks

* add escape hatch for custom self.AUTO_MODEL_CLASS

* add escape hatch for custom self.AUTO_MODEL_CLASS

* fix

* move assertion

* add logging messages

* update AUTO_MODEL_CLASS behavior in _get_backend

---------
Co-authored-by: haileyschoelkopf <hailey@eleuther.ai>

* tokenizer: trust-remote-code

* pre-commit

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

* Fix float limit override

See: https://github.com/EleutherAI/lm-evaluation-harness/issues/2324

The float limit will be override with the previous int limit of multiple tasks are triggered together.

This PR fix this issue

* Update evaluator.py

* Update evaluator.py

* Fixing scoring bugs for smaller models

* Catching another error type in parsing

* bugfix

* pre-commit

* Add catalan_bench

* added flores_ca.yaml

* Updated some task groupings and readme

* Fix create_yamls_flores_ca.py

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

* Add basque_bench

* Add flores_eu group

* Update _flores_common_yaml

* Run linters, updated flores, mgsm, copa, and readme

* Apply suggestions from code review
Co-authored-by: Baber Abbasi <92168766+baberabb@users.noreply.github.com>

---------
Co-authored-by: Baber Abbasi <92168766+baberabb@users.noreply.github.com>
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* Add galician_bench

* Update xnli_gl path

* Add flores_gl group

* Update _flores_common_yaml

* Updated some task groupings and readme

---------

* Add spanish_bench

* Add flores_es group

* Update _flores_common_yaml

* Delete lm_eval/tasks/spanish_bench/escola.yaml

* Delete escola from spanish_bench.yaml

* Delete escola from README.md

* pre-commit run --all-files

* Updated some task groupings and readme

---------

* Add portuguese_bench

* Add flores_pt group

* Update _flores_common_yaml

* Run linters and update flores and readme

* fix some bugs of mmlu

* Fix end of file newline issue

---------
Co-authored-by: eyuansu62 <772468951@qq.com>

* better error message; fix greedy matching

* Update lm_eval/models/openai_completions.py
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* Update lm_eval/models/openai_completions.py
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* pre-commit

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

* Added TurkishMMLU to LM Evaluation Harness

* Fixed COT name

* Fixed COT name

* Updated Readme

* Fixed Test issues

* Completed  Scan for changed tasks

* Updated Readme

* Update README.md

* fixup task naming casing + ensure yaml template stubs aren't registered

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

* add newlines to task descriptions; increment versions

* fix task tests (with groups)

* Apply suggestions from code review

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

* change glianorex to test set

* nit

* fix test; doc_to_target can be str for multiple_choice

* nit

* Treat python tasks same as yaml tasks.

* Add tests.

* Re-add fixture decorators.

* Fix typing specification error for Python 3.9.

* feat(neuron): align with latest optimum-neuron

* feat(neuron): support pre-exported neuron models

* fix(neuron): correctly use max_length

* fix(neuron): adapt loglikelihood

The evaluation of log likelihood was not working for neuron models
using continuous batching, such as all cached neuron LLama models.

* refactor(neuron): remove dead code