GitLab

* 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.

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

This reverts commit c1145dfd.

* add add_bos_token to HFLM

* add BOS token flag to other local model classes

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

* add arabic mmlu

* update the description

* add readme file

* Save git_hash to results even if git is not available to call as subprocess

* Store more info about environment and transformers version in results to help researchers track inconsistencies

* moved added logging to logging_utils

* moved get_git_commit_hash to logging_utils.py

* moved add_env_info inside evaluator

* interface docs

* fix link

* Fixed generation args issue affection openai completion model

* Fixed hf unit test; removed pop attributes in OpenAi completion.

* fix format

* fix format

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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

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

* fix the issue #1391, wrong contexts in mgsm tasks

* fix yaml issue for having two target_delimiter lines. For COT tasks, keep the one with a space (default)

* regenerate all task yaml files
- change naming so that file name will match with task name
- task|file follows a consistent naming way, mgsm_(mode)_(lang) for three modes, i.e., direct, en_cot, and native_cot

* English CoTs should have a space as target_delimiter

* Update utils.py

* Apply suggestions from code review

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

* log group membership

* no stray prints

* Update evaluator.py

* loglikelihood refactor using template lm

* linter

* fix whitespace in target + prompt for CoT gsm8k (#1275)

* Make `parallelize=True` vs. `accelerate launch` distinction clearer in docs (#1261)

* Make parallelize=True distinction clearer in documentation.

* run linter

* Allow parameter edits for registered tasks when listed in a benchmark (#1273)

* benchmark yamls allow minor edits of already registered tasks

* add documentation

* removed print

* Fix data-parallel evaluation with quantized models (#1270)

* add WIP device_map overrides

* update handling outside of accelerate launcher

* change .to(device) log to debug level

* run linter

* Rework documentation for explaining local dataset (#1284)

* rewor documentation for explaining local dataset

* fix typo

* Update new_task_guide.md

* Re-add citation

It looks like Google Scholar has [already noticed](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C9...

* update kmmlu default formatting

* Update _default_kmmlu_yaml

* Delete lm_eval/tasks/kmmlu/utils.py

* new tasks implemented

* add direct tasks

* update direct evaluate

* update direct eval

* add cot sample

* update cot

* add cot

* Update _cot_kmmlu_yaml

* add kmmlu90

* Update and rename _cot_kmmlu.yaml to _cot_kmmlu_yaml

* Create kmmlu90.yaml

* Update _cot_kmmlu_yaml

* add direct

* Update _cot_kmmlu_yaml

* Update and rename kmmlu90.yaml to kmmlu90_cot.yaml

* Update kmmlu90_direct.yaml

* add kmmlu hard

* Update _cot_kmmlu_yaml

* Update _cot_kmmlu_yaml

* update cot

* update cot

* erase typo

* Update _cot_kmmlu_yaml

* update cot

* Rename dataset to match k-mmlu-hard

* removed kmmlu90

* fixed name 'kmmlu_cot' to 'kmmlu_hard_cot' and revised README

* applied pre-commit before pull requests

* rename datasets and add notes

* Remove DS_Store cache

* Update lm_eval/tasks/kmmlu/README.md
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* Change citations and reflect reviews on version

* Added kmmlu_hard and fixed other errors

* fixing minor errors

* remove duplicated

* Rename files

* try ".index"

* minor fix

* minor fix again

* fix revert.

* minor fix. thank for hailey

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Co-authored-by: GUIJIN SON <spthsrbwls123@yonsei.ac.kr>
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* add new task GPQA_n_shot

* add new task GPQA_zeroshot

* correct GPQA_zeroshot filename

* Add randomly shuffle choices

* Correct missing parentheses

* delete wrong tasks

* Add README

* Update lm_eval/tasks/gpqa/zeroshot/_gpqa_zeroshot_yaml

* Update lm_eval/tasks/gpqa/n_shot/utils.py

* Update lm_eval/tasks/gpqa/n_shot/utils.py

* Update lm_eval/tasks/gpqa/README.md

* placate linter

* linter

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

* add key lookup for same contexts

* nit

* appease pre-commit

* nit

* use `expand` (in-place view) rather than `repeat`

* try mixed grouping

* add docs.

* nit

* nit

* nits

* fix tests

* Move greedy_tokens calculation out of cache loop

* nit

* nits

* add test

* nits

* fix name conflict

* fix name conflict

* chunk tensor

* move Collator

* nits/docstring

* fixup

* fixup

* group contexts only for decoders

* pre-commit

* fix `generate_until` test

* fix `generate_until` test

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

* add docs

* nit

* add docs

* add docs

* add 'logits_cache' arg

* bugfix

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

* haerae_reimplementation

* edited Readme and add few_shot settings

* edited readme

* newlines at end of each files

* Modifying the README file

* applied pre-commit

* 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

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

* fix weight_by_size condition

* add tests, update stderr formula slightly

* apply pre-commit

* Added seeds to `evaluator.simple_evaluate` signature

* Added  CLI argument

* Updated  to add  arg.

* un-exclude `evaluate.py` from linting

* readability

* readability

* add task name to build info message

* fix link

* nit

* add functions for var and mean pooling

* add functions for var and mean pooling

* metadata compatibility with task

* rename `override_config` to `set_config` and move to `Task`

* add unit test

* nit

* nit

* bugfix

* nit

* nit

* nit

* add docstrings

* fix metadata-fewshot

* revert metric refactor

* nit

* type checking

* type hints

* type hints

* move `override_metric` to `Task`

* change metadata

* change name

* pre-commit

* rename

* remove

* remove

* `override_metric` backwards compatible with `Task`

* type hints

* use generic

* type hint

* Fix watchdog timeout

* Pre-commit fix

* Timedelta

* Fixes https://github.com/EleutherAI/lm-evaluation-harness/issues/1416

Sets `do_sample = False` if `temperature == 0.0` and `do_sample = None`

* Update huggingface.py

* Update huggingface.py

making linter happy

Fixes https://github.com/EleutherAI/lm-evaluation-harness/issues/1323

* add hf_transfer

* update dependencies

* Delete stale `[linting]` extra

* Update README.md with extras table

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

* update formula for stderr aggregation

* hack: see what happens when using stderr_for_metric bootstrapping on a group

* undo bootstrap_for_stderr test

* factor out variance-aggregation formulas into api.metrics

* fix failing tests

* remove stray print

* update comment

* further detail in comment

* add back initialize_tasks() call

* fix format

Add instructions for non-MacOS users on how to compile janitor_util.cpp so that janitor.py can use it.

* initial commit

* remove overwrite bs

* adding neuronx dependencies

* Update README.md

* update neuronx

Fixes https://github.com/EleutherAI/lm-evaluation-harness/issues/1383

If this is okay, it will need to be propagated to SCROLLS