Merge branch 'main' of https://github.com/EleutherAI/lm-evaluation-harness into mela

lm_eval/tasks/aexams/_aexams.yaml

+group: aexams
+task:
+  - aexams_Biology
+  - aexams_IslamicStudies
+  - aexams_Physics
+  - aexams_Science
+  - aexams_Social
+aggregate_metric_list:
+  - metric: acc
+    aggregation: mean
+    weight_by_size: true
+  - metric: acc_norm
+    aggregation: mean
+    weight_by_size: true
+metadata:
+  version: 1.0

lm_eval/tasks/aexams/_default_template_yaml

-group: aexams
 dataset_path: Hennara/aexams
 test_split: test
 fewshot_split: dev
@@ -16,4 +15,4 @@ metric_list:
     aggregation: mean
     higher_is_better: true
 metadata:
-  version: 0.0
+  version: 1.0

lm_eval/tasks/afrimgsm/README.md

+# MathQA
+
+### Paper
+
+IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models
+https://arxiv.org/pdf/2406.03368
+
+IrokoBench is a human-translated benchmark dataset for 16 typologically diverse
+low-resource African languages covering three tasks: natural language inference (AfriXNLI),
+mathematical reasoning (AfriMGSM), and multi-choice knowledge-based QA (AfriMMLU).
+
+
+### Citation
+
+```
+@misc{adelani2024irokobenchnewbenchmarkafrican,
+      title={IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models},
+      author={David Ifeoluwa Adelani and Jessica Ojo and Israel Abebe Azime and Jian Yun Zhuang and Jesujoba O. Alabi and Xuanli He and Millicent Ochieng and Sara Hooker and Andiswa Bukula and En-Shiun Annie Lee and Chiamaka Chukwuneke and Happy Buzaaba and Blessing Sibanda and Godson Kalipe and Jonathan Mukiibi and Salomon Kabongo and Foutse Yuehgoh and Mmasibidi Setaka and Lolwethu Ndolela and Nkiruka Odu and Rooweither Mabuya and Shamsuddeen Hassan Muhammad and Salomey Osei and Sokhar Samb and Tadesse Kebede Guge and Pontus Stenetorp},
+      year={2024},
+      eprint={2406.03368},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2406.03368},
+}
+```
+
+### Groups and Tasks
+
+#### Groups
+
+* `afrimgsm`: All afrimgsm tasks
+* `afrimgsm_direct`: afrimgsm_direct evaluates models performance on the curated dataset
+* `afrimgsm_en_cot`: afrimgsm_en_cot includes 5-shot of exemplars for chain-of-thought approach
+* `afrimgsm_translate`: afrimgsm_translate evaluates models in translate-test setting
+
+#### Tasks
+* `afrimgsm_direct_{language_code}`: each task evaluates for one language
+* `afrimgsm_en_cot_{language_code}`: each task evaluates for one language
+* `afrimgsm_translate_{language_code}`: each task evaluates for one language
+
+### Checklist
+
+For adding novel benchmarks/datasets to the library:
+* [x] Is the task an existing benchmark in the literature?
+  * [x] Have you referenced the original paper that introduced the task?
+  * [ ] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test?
+
+If other tasks on this dataset are already supported:
+* [x] Is the "Main" variant of this task clearly denoted?
+* [x] Have you provided a short sentence in a README on what each new variant adds / evaluates?
+* [x] Have you noted which, if any, published evaluation setups are matched by this variant?
+  * [x] Checked for equivalence with v0.3.0 LM Evaluation Harness

lm_eval/tasks/afrimgsm/direct/afrimgsm_direct_amh.yaml

+# Generated by utils.py
+dataset_name: amh
+doc_to_target: '{% if answer is not none %}{{answer[15:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nAnswer:"}}{% else %}{{"Question: "+question+"\nAnswer:"}}{% endif %}'
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Question:'
+  - </s>
+  - <|im_end|>
+include: direct_yaml
+task: afrimgsm_direct_amh

lm_eval/tasks/afrimgsm/direct/afrimgsm_direct_eng.yaml

+# Generated by utils.py
+dataset_name: eng
+doc_to_target: '{% if answer is not none %}{{answer[21:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nAnswer:"}}{% else %}{{"Question: "+question+"\nAnswer:"}}{% endif %}'
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Question:'
+  - </s>
+  - <|im_end|>
+include: direct_yaml
+task: afrimgsm_direct_eng

lm_eval/tasks/afrimgsm/direct/afrimgsm_direct_ewe.yaml

+# Generated by utils.py
+dataset_name: ewe
+doc_to_target: '{% if answer is not none %}{{answer[21:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nAnswer:"}}{% else %}{{"Question: "+question+"\nAnswer:"}}{% endif %}'
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Question:'
+  - </s>
+  - <|im_end|>
+include: direct_yaml
+task: afrimgsm_direct_ewe

lm_eval/tasks/afrimgsm/direct/afrimgsm_direct_fra.yaml

+# Generated by utils.py
+dataset_name: fra
+doc_to_target: '{% if answer is not none %}{{answer[21:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nAnswer:"}}{% else %}{{"Question: "+question+"\nAnswer:"}}{% endif %}'
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Question:'
+  - </s>
+  - <|im_end|>
+include: direct_yaml
+task: afrimgsm_direct_fra

lm_eval/tasks/afrimgsm/direct/afrimgsm_direct_hau.yaml

+# Generated by utils.py
+dataset_name: hau
+doc_to_target: '{% if answer is not none %}{{answer[21:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nAnswer:"}}{% else %}{{"Question: "+question+"\nAnswer:"}}{% endif %}'
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Question:'
+  - </s>
+  - <|im_end|>
+include: direct_yaml
+task: afrimgsm_direct_hau

lm_eval/tasks/afrimgsm/direct/afrimgsm_direct_ibo.yaml

+# Generated by utils.py
+dataset_name: ibo
+doc_to_target: '{% if answer is not none %}{{answer[21:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nAnswer:"}}{% else %}{{"Question: "+question+"\nAnswer:"}}{% endif %}'
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Question:'
+  - </s>
+  - <|im_end|>
+include: direct_yaml
+task: afrimgsm_direct_ibo

lm_eval/tasks/afrimgsm/direct/afrimgsm_direct_kin.yaml

+# Generated by utils.py
+dataset_name: kin
+doc_to_target: '{% if answer is not none %}{{answer[21:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nAnswer:"}}{% else %}{{"Question: "+question+"\nAnswer:"}}{% endif %}'
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Question:'
+  - </s>
+  - <|im_end|>
+include: direct_yaml
+task: afrimgsm_direct_kin

lm_eval/tasks/afrimgsm/direct/afrimgsm_direct_lin.yaml

+# Generated by utils.py
+dataset_name: lin
+doc_to_target: '{% if answer is not none %}{{answer[21:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nAnswer:"}}{% else %}{{"Question: "+question+"\nAnswer:"}}{% endif %}'
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Question:'
+  - </s>
+  - <|im_end|>
+include: direct_yaml
+task: afrimgsm_direct_lin

lm_eval/tasks/afrimgsm/direct/afrimgsm_direct_lug.yaml

+# Generated by utils.py
+dataset_name: lug
+doc_to_target: '{% if answer is not none %}{{answer[21:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nAnswer:"}}{% else %}{{"Question: "+question+"\nAnswer:"}}{% endif %}'
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Question:'
+  - </s>
+  - <|im_end|>
+include: direct_yaml
+task: afrimgsm_direct_lug

lm_eval/tasks/afrimgsm/direct/afrimgsm_direct_orm.yaml

+# Generated by utils.py
+dataset_name: orm
+doc_to_target: '{% if answer is not none %}{{answer[21:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nAnswer:"}}{% else %}{{"Question: "+question+"\nAnswer:"}}{% endif %}'
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Question:'
+  - </s>
+  - <|im_end|>
+include: direct_yaml
+task: afrimgsm_direct_orm

lm_eval/tasks/afrimgsm/direct/afrimgsm_direct_sna.yaml

+# Generated by utils.py
+dataset_name: sna
+doc_to_target: '{% if answer is not none %}{{answer[21:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nAnswer:"}}{% else %}{{"Question: "+question+"\nAnswer:"}}{% endif %}'
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Question:'
+  - </s>
+  - <|im_end|>
+include: direct_yaml
+task: afrimgsm_direct_sna