GitLab

* remove ray.remote resources

* remove kobtest tag (registered as group)

* initial components to support sglang

* init of class SGLangLM

* draft for generate_until of SGLang model

* mock loglikelihood

* initial loglikelihood_tokens

* todo: fix bug of sglang engine init

* implement generation tasks and test

* support output type loglikelihood and loglikelihood_rolling (#1)

* .

* loglikelihood_rolling

* /

* support dp_size>1

* typo

* add tests and clean code

* skip tests of sglang for now

* fix OOM error of sglang pytest

* finish test for sglang

* add sglang to readme

* fix OOM of tests and clean SGLang model

* update readme

* clean pyproject and add tests for evaluator

* add accuracy tests and it passed locally

* add notes for test

* Update README.md

update readme

* pre-commit

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Co-authored-by: Xiaotong Jiang <xiaotong.jiang@databricks.com>
Co-authored-by: Baber Abbasi <92168766+baberabb@users.noreply.github.com>
Co-authored-by: Baber <baber@hey.com>

* add humaneval+ and mbpp+

* add newline at end of file

* Fix the import source for eval_logger

* fix logging

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

Co-authored-by: Robiert Sepulveda Torres <rsepulveda911112@gmail.com>

* add Basque translation of ARC and PAWS to BasqueBench

* pre-commit

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

* add o3-mini support

* fix linter tests

Added IberoBench citation info (https://aclanthology.org/2025.coling-main.699/) in correpsonding READMEs (#2729)

* changed source of eval_logger

* allow eval_logger to be set from args

* removed verbosity arg from non-main methods

* fix logging

* pre-commit

* set verbosity in eval logger

* replace utils.eval_logger

* fix logging in main

* add logging to docs

* add logging message

* nit

* add logging to docs

* refactor setup_logging to utils

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

* add math_verify to minerva math

* add math_verify to benchmark

* fix error

* increment version

* fix vllm

* fix data_parallel

* copy to multimodal

* set target delimiter to empty string

* nit

* add warning

* 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

* feat: modified fewshot split for textual entailment task

* fix: new doc_to_target function for NER tasks

* Update prompt

* Add partition for few-shot evaluation

* Add partition for few-shot evaluation

* Add partition for few-shot evaluation

* Add partition for few-shot evaluatio

* Update prompt

* Add partition for few-shot evaluation

* Rename file

Rename file from _evalita-mp_ner_adg_p1 .yaml to _evalita-mp_ner_adg_p1.yaml

* Add partition for few-shot evaluation

* Add partition for few-shot evaluation

* Enhance lexical substitution management

- Improve scorer calculation for better accuracy
- Update model output postprocessing for clearer results
- Add support for few-shot relation extraction task

* Add F1 macro measure for the document dating task

* Add F1-macro measure to evaluate document dating

* Use the whole dataset

* Small changes

* Add the two prompts for the task of lexical substitution

* Add few-shot split configuration

* Add few-shot split configuration

* Add function for handling few-shot learning setup

* Fix prompt

* Remove configuration file

* Update dataset from test_same to test_cross for evaluations

* Remove whitespace at end of prompt

* Fix configuration error: corrected parameter name for the dataset used in few-shot

* Fix: Check if results is not empty before processing in lexical substitution task

* added the prompts and functions for correct NER and RE execution

* Add accuracy measure

* Add tasks for the EVALITA-LLM benchmark evaluation

* Small changes

Add the alias of the task name that will be printed in the final table results.

* Updated the prompts to reflect changes made to the extended dataset for the Admission Test task

* chore: cleaned templates before PR; feat: add configuration to run generation/ppl tasks.

* fix: add information on Evalita-LLM for PR

* fix: rename folders and files

* fix: remove unused imports

* chore: run pre-commit

* chore: add task description

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Co-authored-by: rzanoli <zanoli@fbk.eu>
Co-authored-by: Marco Madeddu <marco.madeddu.bra@gmail.com>

* fix typo

* fix typos

* fix typos

* 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

* Fix Regex Pattern for CoT experiments

* Fixed multiple choice accuracy

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

* mmlu-pro-plus is implemented

* README file is updated

* Update README.md with new task: MMLU Pro Plus

* Update README.md with new task: MMLU Pro Plus

* pre-commit

* nit

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Co-authored-by: asgsaeid <asgaris@Saeids-MacBook-Pro.local>
Co-authored-by: Baber <baber@hey.com>

* Add Histoires Morales task

* Histoires Morales task: fix mixed line endings

* Histoires Morales task: fix mixed line endings

* Remove tag for a single task

* Add some MT for Histoires Morales

* remove group from task configs

* add tags

* update readme

* nit

* update pre-commit

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

* feat: drop Python 3.8 support

* feat: drop Python 3.8 tests

* pre-commit

* handle chat_template for multiple iput

* add TransformerLens example

Many people use TransformerLens to do interpretability and interventions on models, and then need to test the model.

Here is a simple script that allows one to pass in the TransformerLens model and run evaluations on it.

* Ran pre-commit checks

* Add moral stories task

* Add moral stories task

* Create README.md

* Update README.md

* Update line endings in moral_stories files

* separate category

* set version 0.0

* apply precommit

* Update vllm_vlms.py

* pre-commit

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