GitLab

* add brier_score

* process brier_score

* brier score is working for N-sized class

* fxied brier score

* add TED to BigBench and Brier score to MMLU

* format

* Update metrics.py

* Update task.py

* Update generate_until_template_yaml

* Delete lm_eval/tasks/bigbench/aux_metric.py

* Update generate_until_template_yaml

* Update _default_template_yaml

* Update _generate_configs.py

* Update _generate_configs.py

* Update _generate_configs.py

* fix (format?)

* format?

* format, once more

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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>

* fix weight_by_size condition

* add tests, update stderr formula slightly

* apply pre-commit

* 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 bypass metric

* fixed `bypass` metric.

* add task attributes if predict_only

* add `predict_only` checks

* add docs

* added `overide_metric`, `override_config` to `Task`

* nits

* nit

* changed --predict_only to generations; nits

* nits

* nits

* change gen_kwargs warning

* add note about `--predict_only` in README.md

* added `predict_only`

* move table to bottom

* nit

* change null aggregation to bypass (conflict)

* bugfix; default `temp=0.0`

* typo

* 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

This adds a bunch of simple annotations suggested by https://github.com/JelleZijlstra/autotyping.

* add wip gsm8k yaml

* cleanup tasks dir

* push gsm8k yaml changes

* rename gpt2.py

* add updated gsm8k , triviaqa baseline

* add new cot yaml

* allow for multiple filter pipelines, new filter types

* updated gsm8k + sampling gen configs

* cleanup self-consistency yaml

* push outline for advanced docs

* push docs checklist

* switch to inheritance for many tasks

* acc_norm and acc_mutual_info fixed

* fix missing newline in error msg

* remove many .py tasks

* updated GSM8k

* added more doc

* Update advanced_task_guide.md

Added list of parameters

* Update advanced_task_guide.md

* Added details on listing metrics

* Update advanced_task_guide.md

* Added more explanation

* modify current default filter name

* add new tags to tasks

* remove a lingering print()

* add rest of param docs, cleanup deprecated fields

* push docs update

* move ALL_TASKS definition location

* confirm write_out.py works if no description dict passed

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