Irokobench: Benchmark Dataset for African languages (#2042)

* 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

---------
Co-authored-by: Israel Abebe Azime <azime@cg.uni-saarland.de>
Co-authored-by: Israel Abebe Azime <se.israel.abebe@gmail.com>

lm_eval/tasks/afrixnli/lai prompt/direct/afrixnli_manual_direct_twi.yaml

+# Generated by utils.py
+dataset_name: twi
+include: afrixnli_manual_direct_yaml
+task: afrixnli_manual_direct_twi

lm_eval/tasks/afrixnli/lai prompt/direct/afrixnli_manual_direct_wol.yaml

+# Generated by utils.py
+dataset_name: wol
+include: afrixnli_manual_direct_yaml
+task: afrixnli_manual_direct_wol

lm_eval/tasks/afrixnli/lai prompt/direct/afrixnli_manual_direct_xho.yaml

+# Generated by utils.py
+dataset_name: xho
+include: afrixnli_manual_direct_yaml
+task: afrixnli_manual_direct_xho

lm_eval/tasks/afrixnli/lai prompt/direct/afrixnli_manual_direct_yaml

+group:
+    - xnli
+    - afrixnli
+    - afrixnli_manual_direct
+dataset_path: masakhane/afrixnli
+dataset_name: null
+output_type: multiple_choice
+validation_split: validation
+test_split: test
+fewshot_split: validation
+doc_to_text: !function utils.doc_to_text
+doc_to_target: !function utils.doc_to_target
+doc_to_choice:
+  - "entailment"
+  - "neutral"
+  - "contradiction"
+should_decontaminate: true
+doc_to_decontamination_query: premise
+metric_list:
+  - metric: f1
+    aggregation: !function utils.weighted_f1_score
+    average: weighted
+    higher_is_better: True
+    ignore_case: true
+    ignore_punctuation: true
+  - metric: acc
+    aggregation: mean
+    higher_is_better: true
+    ignore_case: true
+    ignore_punctuation: true
+metadata:
+  version: 1.0

lm_eval/tasks/afrixnli/lai prompt/direct/afrixnli_manual_direct_yor.yaml

+# Generated by utils.py
+dataset_name: yor
+include: afrixnli_manual_direct_yaml
+task: afrixnli_manual_direct_yor

lm_eval/tasks/afrixnli/lai prompt/direct/afrixnli_manual_direct_zul.yaml

+# Generated by utils.py
+dataset_name: zul
+include: afrixnli_manual_direct_yaml
+task: afrixnli_manual_direct_zul

lm_eval/tasks/afrixnli/lai prompt/direct/utils.py

+from sklearn.metrics import f1_score
+
+
+def doc_to_text(doc):
+    output = """Please identify whether the premise entails or contradicts the hypothesis in the following premise 
+    and hypothesis. The answer should be exact entailment, contradiction, or neutral.
+    
+    Premise: {premise}
+    Hypothesis: {hypothesis}
+    
+    Is it entailment, contradiction, or neutral?"""
+
+    text = output.format(premise=doc['premise'],
+                         hypothesis=doc['hypothesis'])
+    return text
+
+
+def doc_to_target(doc):
+    replacements = {
+        0: 'entailment',
+        1: 'neutral',
+        2: 'contradiction'
+    }
+    return replacements[doc["label"]]
+
+
+def weighted_f1_score(items):
+    unzipped_list = list(zip(*items))
+    golds = unzipped_list[0]
+    preds = unzipped_list[1]
+    fscore = f1_score(golds, preds, average="weighted")
+    return fscore

lm_eval/tasks/afrixnli/lai prompt/translate/afrixnli_manual_translate_amh.yaml

+# Generated by utils.py
+dataset_name: amh
+include: afrixnli_manual_translate_yaml
+task: afrixnli_manual_translate_amh

lm_eval/tasks/afrixnli/lai prompt/translate/afrixnli_manual_translate_ewe.yaml

+# Generated by utils.py
+dataset_name: ewe
+include: afrixnli_manual_translate_yaml
+task: afrixnli_manual_translate_ewe

lm_eval/tasks/afrixnli/lai prompt/translate/afrixnli_manual_translate_fra.yaml

+# Generated by utils.py
+dataset_name: fra
+include: afrixnli_manual_translate_yaml
+task: afrixnli_manual_translate_fra

lm_eval/tasks/afrixnli/lai prompt/translate/afrixnli_manual_translate_hau.yaml

+# Generated by utils.py
+dataset_name: hau
+include: afrixnli_manual_translate_yaml
+task: afrixnli_manual_translate_hau

lm_eval/tasks/afrixnli/lai prompt/translate/afrixnli_manual_translate_ibo.yaml

+# Generated by utils.py
+dataset_name: ibo
+include: afrixnli_manual_translate_yaml
+task: afrixnli_manual_translate_ibo

lm_eval/tasks/afrixnli/lai prompt/translate/afrixnli_manual_translate_kin.yaml

+# Generated by utils.py
+dataset_name: kin
+include: afrixnli_manual_translate_yaml
+task: afrixnli_manual_translate_kin

lm_eval/tasks/afrixnli/lai prompt/translate/afrixnli_manual_translate_lin.yaml

+# Generated by utils.py
+dataset_name: lin
+include: afrixnli_manual_translate_yaml
+task: afrixnli_manual_translate_lin

lm_eval/tasks/afrixnli/lai prompt/translate/afrixnli_manual_translate_lug.yaml

+# Generated by utils.py
+dataset_name: lug
+include: afrixnli_manual_translate_yaml
+task: afrixnli_manual_translate_lug

lm_eval/tasks/afrixnli/lai prompt/translate/afrixnli_manual_translate_orm.yaml

+# Generated by utils.py
+dataset_name: orm
+include: afrixnli_manual_translate_yaml
+task: afrixnli_manual_translate_orm

lm_eval/tasks/afrixnli/lai prompt/translate/afrixnli_manual_translate_sna.yaml

+# Generated by utils.py
+dataset_name: sna
+include: afrixnli_manual_translate_yaml
+task: afrixnli_manual_translate_sna

lm_eval/tasks/afrixnli/lai prompt/translate/afrixnli_manual_translate_sot.yaml

+# Generated by utils.py
+dataset_name: sot
+include: afrixnli_manual_translate_yaml
+task: afrixnli_manual_translate_sot

lm_eval/tasks/afrixnli/lai prompt/translate/afrixnli_manual_translate_swa.yaml

+# Generated by utils.py
+dataset_name: swa
+include: afrixnli_manual_translate_yaml
+task: afrixnli_manual_translate_swa

lm_eval/tasks/afrixnli/lai prompt/translate/afrixnli_manual_translate_twi.yaml

+# Generated by utils.py
+dataset_name: twi
+include: afrixnli_manual_translate_yaml
+task: afrixnli_manual_translate_twi