GitLab

* switch MMLU to cais/mmlu

* switch back to tj-actions/changed-files

* cache HF folder

Signed-off-by: Lu Fang <lufang@fb.com>

* Add markdown linter to pre-commit hooks

* Reformat existing markdown (excluding lm_eval/tasks/*.md)

suport for longcontext (and other synthetic tasks)
* add ruler
* add longbench
* pass `metadata` to TaskConfig

* Add support for token-based auth for watsonx models

* Fix lint

* Move dotenv import to inner scope

* Improve readability of _verify_credentials

* Added audio-modality pipeline for qwen2-audio model

* Beauty imports

* fix apply_chat_template args

* update default audio placeholders list

* add demo task - common_voice subset

* add audiolm_qwen libs to pyproject.toml

* pre-commit beautify

---------
Co-authored-by: Alexandra Rak <rakalexandra@mail.ru>

* Add a test for a custom unitxt task

* Update task.py to bring in line with breaking change in v1.17.2

* Fix lint

* Enable steering HF models
Co-authored-by: Matthew Khoriaty <matthewkhoriaty2026@u.northwestern.edu>

* increase HF download timeout

* Update readme; improve steering vector device handling

* Update latest news

* remove HF timeout increase

* fix tests

* ignore sae lens test

* fix accidental force push

---------
Co-authored-by: Matthew Khoriaty <matthewkhoriaty2026@u.northwestern.edu>

* add math_verify to minerva math

* add math_verify to benchmark

* fix error

* increment version

* feat: drop Python 3.8 support

* feat: drop Python 3.8 tests

* pre-commit

forgot to increment 0.4.6!

* refactor code, fix config path bug

* update types to be from typing lib

* add pre-commit formatting

* specify version of ibm_watsonx_ai package

* adjust get_watsonx_credentials() function, add minor refactor to adress PR review comments

* change missing installation hint from ibm_watsonx_ai to lm_eval[ibm_watsonx_ai]

* add jaqket_v2 and jcommonsenseqa

* remove comments

* remove num_beams as it is incompatible with vllm

* add jnli + refactor

* rename jnla -> jnli

* add jsquad + replace colon chars with the Japanese unicode

* ignore whitespaces in generation tasks

* add marc_ja

* add xwinograd + simplify other yamls

* add mgsm and xlsum

* refactor xlsum

* add ja_leaderboard tag

* edit README.md

* update README.md

* add credit + minor changes

* run ruff format

* address review comments + add group

* remove aggregate_metric_list

* remove tags

* update tasks/README.md

* support gptqmodel

* code opt

* add gptqmodel option

* Update huggingface.py

* Update pyproject.toml

* gptqmodel version upgraded to 1.0.6

* GPTQModel version upgraded to 1.0.8

* Update pyproject.toml

* fix ruff-format error

* add gptqmodel test

* Update gptqmodel test model

* skip cuda

* python3.8 compatible

* Update README.md

* Update README.md

---------
Co-authored-by: CL-ModelCloud <cl@modelcloud.ai>

* 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>

* refactor: move scipy and sklearn module imports to func imports
Signed-off-by: Nathan Weinberg <nweinber@redhat.com>

* refactor: consolidate weighted_f1_score func into lm_eval utils
Signed-off-by: Nathan Weinberg <nweinber@redhat.com>

* lint: allow for utils file to have unused imports

this allows for shared functions to be defined only
once while allowing for the YAML function importing
to continue working
Signed-off-by: Nathan Weinberg <nweinber@redhat.com>

---------
Signed-off-by: Nathan Weinberg <nweinber@redhat.com>

* refactor pad_token handling to fn

* fix docs

* add pad_token_handling to vllm

* start on API superclass

* don't detokenize the returned logits

* streamline vllm tokenizer

* add type hint

* pre-commit

* seems to be in working order

* add model to init

* refactor api models

* nit

* cleanup

* add pbar

* fix type hints

* change optional dependencies

* json encode chat template

* add type hints

* deal with different prompt input requiremnts

* nits

* fix

* cache inside async

* fix

* fix

* nits

* nits

* nits

* nit

* fixup

* fixup

* nit

* add dummy retry

* add dummy retry

* handle imports; skip failing test

* add type hint

* add tests

* add dependency to tests

* add package names to exception

* nit

* docs; type hints

* handle api key

* nit

* tokenizer bug

* fix tokenizer

* nit

* nit

* add better error messages

* nit

* remove decorator

* CI: install api dep

* revert evaluator.py

* consolidate

* consolidate

* nits

* nit

* fix typealias

* nit

* nit

* nit

* Update lm_eval/models/api_models.py

typo
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>

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

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

* fix typo

* add news section

* add info for API

* pre-commit

* typo

* fix bug: unpack logliklehood requests

* fix bug: shared gen_kwargs mutated

* nit: handle copy properly

* Update README.md

* Update README.md

* Update README.md

* Update api_models.py

* Update README.md

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

* Updated unitxt loading
Signed-off-by: Elron Bandel <elron.bandel@ibm.com>

* Revert change to general Readme
Signed-off-by: Elron Bandel <elron.bandel@ibm.com>

* Adjust fda,squadv2,squad_completion and swde to work accept config in the constructor
Signed-off-by: Elron Bandel <elron.bandel@ibm.com>

* Fix scrolls
Signed-off-by: elronbandel <elron.bandel@ibm.com>

* Update documentation
Signed-off-by: elronbandel <elron.bandel@ibm.com>

* Enforce backward compatability
Signed-off-by: elronbandel <elron.bandel@ibm.com>

* Format unitxt class
Signed-off-by: elronbandel <elron.bandel@ibm.com>

---------
Signed-off-by: Elron Bandel <elron.bandel@ibm.com>
Signed-off-by: elronbandel <elron.bandel@ibm.com>
Co-authored-by: haileyschoelkopf <hailey@eleuther.ai>

* [HFLM]Add support for Ascend NPU
Co-authored-by: jiaqiw09 <jiaqiw960714@gmail.com>
Co-authored-by: zhabuye <2947436155@qq.com>

* bump accelerate dependency version to 0.26.0 for NPU compat.

---------
Co-authored-by: jiaqiw09 <jiaqiw960714@gmail.com>
Co-authored-by: zhabuye <2947436155@qq.com>
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* Initial support for Unitxt datasets in LM Eval Harness

See  https://github.com/IBM/unitxt



The script 'generate_yamls.py' creates LM Eval Harness yaml files corresponding to Unitxt datasets specified in the 'unitxt_datasets' file.

The glue code required to register Unitxt metrics is in 'unitxt_wrapper.py'.

* Added dataset loading check to generate_yaml

Improved error messages.

* Speed up generate_yaml

Added printouts and improved error message

* Added output printout

* Simplified integration of unitxt datasets

Store all the common yaml configuration in a yaml include shared by all datasets of the same task.

* Post code review comments - part 1

1. Made sure include files don't end wth 'yaml' so they won't be marked as tasks
2. Added more datasets and tasks (NER, GEC)
3. Added README

* Post code review comments - part 2

1. Added install unitxt install option in pyproject.toml:
pip install 'lm_eval[unitxt]'
2. Added a check that unitxt is installed and print a clear error message if not

* Commited missing pyproject change

* Added documentation on adding datasets

* More doc changes

* add unitxt extra to readme

* run precommit

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

* Add neuralmagic models for SparseML and DeepSparse

* Update to latest and add test

* Format

* Fix list to List

* Format

* Add deepsparse/sparseml to automated testing

* Update pyproject.toml

* Update pyproject.toml

* Update README

* Fixes for dtype and device

* Format

* Fix test

* Apply suggestions from code review
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* Address review comments!

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

* Update interface.md

* fix: make caching reqs always work with accelerate launch

* remove stale task migration checklist

* remove deprecation warnings

* make informative TypeErrors for get_task_dict

* bump version metadata

* fix num_fewshot printing bug

* add fewshot value to cache key

* Remove unused `decontamination_ngrams_path` and all mentions (still no alternative path provided)

* Fix improper import of LM and usage of evaluator in one of scripts

* update type hints in instance and task api

* raising errors in task.py instead of asserts

* Fix warnings from ruff

* raising errors in __main__.py instead of asserts

* raising errors in tasks/__init__.py instead of asserts

* raising errors in evaluator.py instead of asserts

* evaluator: update type hints and remove unused variables in code

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

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

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

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

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

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

* pre-commit induced fixes

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

* setting trust_remote_code

* dataset list no notebooks

* respect trust remote code

* Address changes, move cli options and change datasets

* fix task for tests

* headqa

* remove kobest

* pin datasets and address comments

* clean up space

* use `@ray.remote` with distributed vLLM

* update versions

* bugfix

* unpin vllm

* fix pre-commit

* added version assertion error

* Revert "added version assertion error"

This reverts commit 8041e9b78e95eea9f4f4d0dc260115ba8698e9cc.

* added version assertion for DP

* expand DP note

* add warning

* nit

* pin vllm

* fix typos

* add undistribute + use more_itertools

* remove divide() util fn

* add more_itertools as dependency

* Create a means for caching task registration and request building. Add the ability to specify an args dict for simple_evaluate().

* Remove extra S in cache path in caching module
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* Rename requests cache args, make model_args polymorphic so that a dict can also be accepted.

* Update docs to reflect new caching behavior, add CLI args for requests caching. Create a function for deleting items in the cache.

* Update documentation, fix minor bug with arg parsing for requests caching where an undefined variable was used.

* Remove line from gitignore, add to cli for caching datasets.

* Add hashing suffix to .pickles. Update test script typo.

* Favor isinstance() over type() in evaluator.py

* Add tests for caching, gets tests working, remove unneeded arg from build_all_requests().

* Update arg description to simple_evaluate.

* Update pyproject.toml

* Fix typehint

* Remove the use of random() for creating default cache pickle hash.

* Check that cache dir exists before clearing it in request cache tests.

* Fix linting problems.

* Fix additional formatting errors.

* Remove trailing whitespace.

* Add new line to the end of .gitignore.

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

* add wandb as extra dependency

* wandb metrics logging

* refactor

* log samples as tables

* fix linter

* refactor: put in a class

* change dir

* add panels

* log eval as table

* improve tables logging

* improve reports logging

* precommit run

* ruff check

* handle importing reports api gracefully

* ruff

* compare results

* minor pre-commit fixes

* build comparison report

* ruff check

* log results as artifacts

* remove comparison script

* update dependency

* type annotate and docstring

* add example

* update readme

* fix typo

* teardown

* handle outside wandb run

* gracefully fail reports creation

* precommit checks

* add report url to summary

* use wandb  printer for better url stdout

* fix ruff

* handle N/A and groups

* fix eval table

* remove unused var

* update wandb version req + disable reports stdout

* remove reports feature to TODO

* add label to multi-choice question data

* log model predictions

* lints

* loglikelihood_rolling

* log eval result for groups

* log tables by group for better handling

* precommit

* choices column for multi-choice

* graciously fail wandb

* remove reports feature

* track system metrics + total eval time + stdout

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

* update bbh, gsm8k, mmlu parsing logic and prompts

* remove the formatting prompt (bbh) + minor update (mmlu)

* update bbh, gsm8k, mmlu zeroshot, revert fewshots

* update bbh, gsm8k, mmlu version, forward changes to gsm8k-cot

* remove take_last, update to use docs parameters

* add newline

* ruff formatting

* Update pyproject.toml

* fix format

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