GitLab

* check for chat for warning

* add test

* remove yaml extension from some evalita configs

* move unitxt to own test script

* fix CI test

* use double quotes

* truthfulqa-multi task

* truthfulqa-multi with chat few-shot

* few shot chat implementation

* changed until so it outputs lists

* changed dataset location

* added MT task

* Create README.md

* do not include MT

* changes for PR

* tag change

* removed yaml extension

* adding task to the table

* fix task configs

* add import exception

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

* Fix: Align the Humaneval dataset with official results

Details:(1) modified the "doc_to_text" and "gen_prefix" in the "humaneval_instruct.yaml" file to make them the same as the Prompt in "meta-llama/Llama-3.1-70B-Instruct-evals".

(2) Change r.rfind("```") to r.find("```"), so it can locate the first "```", not the last one.

Results: Partially reproduced the official results: The result of LLaMA3.1-8B-Instruct is 66.5 (the official result is 72.6), and the result of LLaMA3.1-70B-Instruct is 80.5 (the official result is 80.5).

Ref: PR#2650

* add changelog and version

* add changelog

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

"arc_chalenge_chat" doesn't exist: I think it should be "arc_challenge_chat", but this task is not implemented here (see arc task folder).

Wrong task name: mmlu_generation doesn't non exist -> mmlu_generative is the correct one

* fix longbech citation

* Update README.md

* Update utils_mcq.py

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

* use all answers

* use middle truncation

* maybe fix classification score

* strip classification preds

* [vllm] remove stop tokens post-hoc

* strip all preds

* pacify pre-commit

* start on truncation utility

* add to readme

* add a footgun doc

* fix newline in yaml templates

* do not strip code_sim preds!

* fix pre-commit config

* fix instruction warning

* add not to longbench readme

* feat: add mbpp_instruct

* fix: update generation_kwargs to use an empty until list

* fix: correct predictions formatting in pass_at_1 function

* fix: improve code block extraction by checking first without opening backticks

* fix mbpp `pass_at_1`

* add arab_culture tasks

* add target_delimeter and remove debugging code

* add `sglang-generate`

* nit

* nit

* nit

* pacify pre-commit

* adding ACPBench_hard

* adding Clingo

* changing tarski to tarski[clingo]

* denoting the main variants in each paper

* added c4 dataset (working)

* fixed bugs in c4

* fixed loading bugs in c4 dataset; using partial loading

* cleaned the code

* added version number for c4

* removed irrelevant files

* add afrixnli to task

* add chat completion

* remove chat completion -untested

* afrimmlu added

* afrimmlu folder update

* afrimmlu folder update

* updated prompt

* remove print

* add afrimgsm -direct

* add squad metric

* fix bash script

* remove direct util, update common yaml

* remove print

* add few show. metric fixes

* fix direct path, add bash script for gpt models

* added transate test

* update afrixnli tasks

* update afrixnli tasks

* update metrics for afrixnli

* prompt translations fix

* prompt translations fix

* filter and metric fix -mgsm

* remove squad metric

* remove squad metric

* add f1 score to mgsm

* add f1 score to mgsm

* update native-direct with lin

* change f1 function

* add lin to utils

* add utils

* remove test limit

* remove test configs

* add swahili to mmlu

* change eng to ewe in ewe yaml mmlu

* add squad metric to mgsm, remove whitespace filter

* added translate test

* added afrixnli_translate

* fix exact match valueError

* fix exact match valueError

* restructure mmlu folder

* spacing

* remove afrimmlu_translate folder

* add utility

* format task name, clean ups

* modefied mgsm

* update on afrimgsm

* update on afrimgsm

* removed utils

* other mgsm varieties

* other mgsm varieties

* adding trasnslate direct

* Update translate_direct_yaml

* add manual xnli prompt, add multichoice for openai models, and adapt multichoice metric for openai model

* edit for open models

* Update translate_direct_yaml

* add verbalizer for xnli

* change xnli from multiple choice to generate

* add manual accuracy scores

* revert xnli to multiple choice

* change afrimgsm utils

* revert xnli to multiple_choice

* cleanups and readmes

* remove openai fixes and unused regex

* pr review changes

* revert metrics.py, task.py and extraction.py to main version

* add afrisenti

* utilities

* pulled from main

* add afrixnli

* add afrimmlu

* update afrixnli prompts

* mising senti language

* fix afrisenti prompt 2

* fix afrisenti prompts

* fix afrisenti prompts

* configure task grouping

* add multiple prompts to afrixnli for irokobench

* add multiple prompts to afrimmlu for irokobench

* Update afrixnli_yaml

* fixes and moves

* fixes and moves

* afrimmlu multiple prompts configs

* remove validation set from afrimmlu

* remove eng from afrimmlu translate test

* correct dataset path

* multiple prompts for mgsm

* file restructure

* afribench grouping

* repo restructuring

* repo restructuring

* update exact match to hugging face exact match and add new mgsm language

* remove decontamination

* update generation kwargs

* update generation kwargs for all mgsm prompts

* remove lang

* update generation kwargs for afrimgsm translatetest

* add afrimgsm cot for direct and translate

* remove eng from translate-cot

* add masakhaPOS tasks

* remove changes from task script

* add masakhanews tasks

* add uhura arc easy

* add afriqa and belebele files

* add tags for easier run. add naija rc

* add new metrics and transformation scripts

* fix afriqa swa fewshot split

* add naijarc

* add afrobench lite tasks

* update afrobench

* update afrobench

* remove unverified files to avoid bugs

* remove files not needed

* add afrobench tasks

* add afrobench tasks

* change to version 1

* change to version 1

* update afrobench

* update afrobench

* restore metric to original script

* update readme instructions

* add individual dataset readmes

* add link to collections

* correct run script

* align with main

* align with main

* align with main

* align with main

* align with main

* align with main

* align with main

* align with main

* failed run fixes

* failed run fixes

* add afrimgsm cot

* Apply precommit fixes

* update mafand dataset name

* pull request fixes

* remove afrihate due to availability

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Co-authored-by: Israel Abebe Azime <azime@cg.uni-saarland.de>
Co-authored-by: Israel Abebe Azime <se.israel.abebe@gmail.com>
Co-authored-by: David Adelani <davlanade@gmail.com>
Co-authored-by: theyorubayesian <akin.o.oladipo@gmail.com>

* mmlu pro generation_kwargs until Q: -> Question:

* pacify pre-commit

* change stop token

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

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

* Fix import error for eval_logger in score utils

* pacify pre-commit

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

* added noreval

* added a checklist for noreval

* run pre-commit

* changed imports and added short noreval description

* fixed norsumm path

* refactored multi-folder tasks

* refactored multi-folder tasks

* add warning in for default until

* fix stop tokens; add vcsum

* bugfix:fix doc_to_target to string

* fix lsht, trec

* add task to readme

* add debugging logs for multiple input/output

* switch MMLU to cais/mmlu

* switch back to tj-actions/changed-files

* cache HF folder

* add gsm8k platinum

* only test splits

* wrong dataset

* link to blog

* format

* feat: initial commit with templates for evalita evaluation

* fix: change rule for generate_until

* feat: modified yaml to use reduced version of NER test datasets

* feat: added templates to use reduced dataset for summarization (fanpage and ilpost)

* Add Six Prompts for Each Multiple-Choice Task

* fix: fastest eval for summarization

* chore: linted with ruff

* chore: linted with ruff

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Co-authored-by: rzanoli <zanoli@fbk.eu>

* add subtask scores

* pacify pre-commit

* Add JSON schema benchmark

* Update lm_eval/tasks/jsonschema_bench/metrics.py

Thanks for catching this
Co-authored-by: Baber Abbasi <92168766+baberabb@users.noreply.github.com>

* run pre-commit

* add description to task catalogue readme

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

* sync with leaderboard

* also output old metric

* wrap old extraction in try except

* better log