revert

train.jsonl

@@ -181,7 +181,7 @@
 {"name": "lextreme_mapa_fine", "hf_repo": "lighteval/lextreme", "hf_subset": "mapa_fine",  "hf_avail_splits": ["train", "test", "validation"], "evaluation_splits": ["validation", "test"], "generation_size": 274, "stop_sequence": ["\n"], "metric": ["exact_match", "quasi_exact_match", "f1_score"], "suite": ["helm", "lextreme_scenario"], "prompt_function": "lextreme_mapa_fine"}
 {"name": "lsat_qa_grouping", "hf_repo": "lighteval/lsat_qa", "hf_subset": "grouping", "hf_avail_splits": ["train", "test", "validation"], "evaluation_splits": ["validation", "test"], "generation_size": 5, "stop_sequence": ["\n"], "metric": ["exact_match", "quasi_exact_match", "prefix_exact_match", "quasi_prefix_exact_match"], "suite": ["helm", "lsat_qa_scenario"], "prompt_function": "lsat_qa"}
 {"name": "lsat_qa_ordering", "hf_repo": "lighteval/lsat_qa", "hf_subset": "ordering", "hf_avail_splits": ["train", "test", "validation"], "evaluation_splits": ["validation", "test"], "generation_size": 5, "stop_sequence": ["\n"], "metric": ["exact_match", "quasi_exact_match", "prefix_exact_match", "quasi_prefix_exact_match"], "suite": ["helm", "lsat_qa_scenario"], "prompt_function": "lsat_qa"}
-{"name": "lsat_qa_assignment", "hf_repo": "lighteval/lsat_qa", "hf_subset": "assignement", "hf_avail_splits": ["train", "test", "validation"], "evaluation_splits": ["validation", "test"], "generation_size": 5, "stop_sequence": ["\n"], "metric": ["exact_match", "quasi_exact_match", "prefix_exact_match", "quasi_prefix_exact_match"], "suite": ["helm", "lsat_qa_scenario"], "prompt_function": "lsat_qa"}
+{"name": "lsat_qa_assignment", "hf_repo": "lighteval/lsat_qa", "hf_subset": "assignment", "hf_avail_splits": ["train", "test", "validation"], "evaluation_splits": ["validation", "test"], "generation_size": 5, "stop_sequence": ["\n"], "metric": ["exact_match", "quasi_exact_match", "prefix_exact_match", "quasi_prefix_exact_match"], "suite": ["helm", "lsat_qa_scenario"], "prompt_function": "lsat_qa"}
 {"name": "lsat_qa_miscellaneous", "hf_repo": "lighteval/lsat_qa", "hf_subset": "miscellaneous", "hf_avail_splits": ["train", "test", "validation"], "evaluation_splits": ["validation", "test"], "generation_size": 5, "stop_sequence": ["\n"], "metric": ["exact_match", "quasi_exact_match", "prefix_exact_match", "quasi_prefix_exact_match"], "suite": ["helm", "lsat_qa_scenario"], "prompt_function": "lsat_qa"}
 {"name": "lsat_qa_all", "hf_repo": "lighteval/lsat_qa", "hf_subset": "all", "hf_avail_splits": ["train", "test", "validation"], "evaluation_splits": ["validation", "test"], "generation_size": 5, "stop_sequence": ["\n"], "metric": ["exact_match", "quasi_exact_match", "prefix_exact_match", "quasi_prefix_exact_match"], "suite": ["helm", "lsat_qa_scenario"], "prompt_function": "lsat_qa"}
 {"name": "math_algebra", "hf_repo": "lighteval/math", "hf_subset": "algebra", "hf_avail_splits": ["train", "test"], "evaluation_splits": ["test"], "generation_size": 20, "stop_sequence": ["$"], "metric": ["toxicity", "bias", "math"], "suite": ["helm", "math_scenario"], "prompt_function": "math_helm"}