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Add freebase to make tasks_v0.4 from tasks_v0.3
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icl_tasks: | ||
- | ||
label: freebaseqa | ||
dataset_uri: eval/local_data/world_knowledge/freebaseqa.jsonl | ||
num_fewshot: [0] | ||
icl_task_type: question_answering | ||
do_normalization: true | ||
prelimiter: "Please give answer to this question: " | ||
continuation_delimiter: " The answer is " | ||
- | ||
label: gsm8k | ||
dataset_uri: eval/local_data/symbolic_problem_solving/gsm8k_prepended_8shot.jsonl | ||
num_fewshot: [0] | ||
icl_task_type: generation_task_with_answers | ||
cot_delimiter: "The answer is " | ||
continuation_delimiter: "\n\nA:" | ||
question_prelimiter: "" | ||
do_normalization: false | ||
early_stopping_criteria: | ||
- "\n\n" | ||
- "Question:" | ||
- | ||
label: triviaqa_sm_sub | ||
dataset_uri: eval/local_data/world_knowledge/triviaqa_sm_sub.jsonl | ||
num_fewshot: [3] | ||
icl_task_type: generation_task_with_answers | ||
do_normalization: true | ||
- | ||
label: svamp | ||
dataset_uri: eval/local_data/symbolic_problem_solving/svamp.jsonl | ||
num_fewshot: [5] | ||
icl_task_type: generation_task_with_answers | ||
cot_delimiter: "The answer is " | ||
continuation_delimiter: "\n\nA:" | ||
question_prelimiter: "Question: " | ||
do_normalization: false | ||
early_stopping_criteria: | ||
- "\n\n" | ||
- "Question:" | ||
- | ||
label: jeopardy | ||
dataset_uri: eval/local_data/world_knowledge/jeopardy_all.jsonl | ||
num_fewshot: [3] | ||
icl_task_type: language_modeling | ||
continuation_delimiter: "\nAnswer: " | ||
has_categories: true | ||
- | ||
label: bigbench_qa_wikidata | ||
dataset_uri: eval/local_data/world_knowledge/bigbench_qa_wikidata.jsonl | ||
num_fewshot: [3] | ||
icl_task_type: language_modeling | ||
- | ||
label: arc_easy | ||
dataset_uri: eval/local_data/world_knowledge/arc_easy.jsonl | ||
num_fewshot: [3] | ||
icl_task_type: multiple_choice | ||
continuation_delimiter: "\nAnswer: " | ||
- | ||
label: arc_challenge | ||
dataset_uri: eval/local_data/world_knowledge/arc_challenge.jsonl | ||
num_fewshot: [3, 25] | ||
icl_task_type: multiple_choice | ||
continuation_delimiter: "\nAnswer: " | ||
- | ||
label: mmlu | ||
dataset_uri: eval/local_data/world_knowledge/mmlu.jsonl | ||
num_fewshot: [5] | ||
icl_task_type: multiple_choice | ||
continuation_delimiter: "\nAnswer: " | ||
has_categories: true | ||
- | ||
label: copa | ||
dataset_uri: eval/local_data/commonsense_reasoning/copa.jsonl | ||
num_fewshot: [0] | ||
icl_task_type: multiple_choice | ||
- | ||
label: siqa | ||
dataset_uri: eval/local_data/commonsense_reasoning/siqa.jsonl | ||
num_fewshot: [3] | ||
icl_task_type: multiple_choice | ||
- | ||
label: commonsense_qa | ||
dataset_uri: eval/local_data/commonsense_reasoning/commonsense_qa.jsonl | ||
num_fewshot: [0] | ||
icl_task_type: multiple_choice | ||
- | ||
label: piqa | ||
dataset_uri: eval/local_data/commonsense_reasoning/piqa.jsonl | ||
num_fewshot: [0] | ||
icl_task_type: multiple_choice | ||
continuation_delimiter: "\nAnswer: " | ||
- | ||
label: openbook_qa | ||
dataset_uri: eval/local_data/commonsense_reasoning/openbook_qa.jsonl | ||
num_fewshot: [10] | ||
icl_task_type: multiple_choice | ||
- | ||
label: bigbench_strange_stories | ||
dataset_uri: eval/local_data/commonsense_reasoning/bigbench_strange_stories.jsonl | ||
num_fewshot: [0] | ||
icl_task_type: multiple_choice | ||
- | ||
label: bigbench_strategy_qa | ||
dataset_uri: eval/local_data/commonsense_reasoning/bigbench_strategy_qa.jsonl | ||
num_fewshot: [0] | ||
icl_task_type: multiple_choice | ||
- | ||
label: bigbench_dyck_languages | ||
dataset_uri: eval/local_data/symbolic_problem_solving/bigbench_dyck_languages.jsonl | ||
num_fewshot: [5] | ||
icl_task_type: language_modeling | ||
- | ||
label: lambada_openai | ||
dataset_uri: eval/local_data/language_understanding/lambada_openai.jsonl | ||
num_fewshot: [0] | ||
icl_task_type: language_modeling | ||
- | ||
label: hellaswag | ||
dataset_uri: eval/local_data/language_understanding/hellaswag.jsonl | ||
num_fewshot: [0, 10] | ||
icl_task_type: multiple_choice | ||
- | ||
label: winograd | ||
dataset_uri: eval/local_data/language_understanding/winograd_wsc.jsonl | ||
num_fewshot: [3] | ||
icl_task_type: schema | ||
- | ||
label: winogrande | ||
dataset_uri: eval/local_data/language_understanding/winogrande.jsonl | ||
num_fewshot: [5] | ||
icl_task_type: schema | ||
- | ||
label: bigbench_elementary_math_qa | ||
dataset_uri: eval/local_data/symbolic_problem_solving/bigbench_elementary_math_qa.jsonl | ||
num_fewshot: [1] | ||
icl_task_type: multiple_choice | ||
- | ||
label: agi_eval_lsat_ar | ||
dataset_uri: eval/local_data/symbolic_problem_solving/agi_eval_lsat_ar.jsonl | ||
num_fewshot: [5] | ||
icl_task_type: multiple_choice | ||
- | ||
label: bigbench_cs_algorithms | ||
dataset_uri: eval/local_data/symbolic_problem_solving/bigbench_cs_algorithms.jsonl | ||
num_fewshot: [10] | ||
icl_task_type: language_modeling | ||
- | ||
label: bigbench_operators | ||
dataset_uri: eval/local_data/symbolic_problem_solving/bigbench_operators.jsonl | ||
num_fewshot: [3] | ||
icl_task_type: language_modeling | ||
- | ||
label: simple_arithmetic_nospaces | ||
dataset_uri: eval/local_data/symbolic_problem_solving/simple_arithmetic_nospaces.jsonl | ||
num_fewshot: [5] | ||
icl_task_type: language_modeling | ||
- | ||
label: simple_arithmetic_withspaces | ||
dataset_uri: eval/local_data/symbolic_problem_solving/simple_arithmetic_withspaces.jsonl | ||
num_fewshot: [5] | ||
icl_task_type: language_modeling | ||
- | ||
label: squad | ||
dataset_uri: eval/local_data/reading_comprehension/squad.jsonl | ||
num_fewshot: [3] | ||
icl_task_type: language_modeling | ||
- | ||
label: agi_eval_lsat_rc | ||
dataset_uri: eval/local_data/reading_comprehension/agi_eval_lsat_rc.jsonl | ||
num_fewshot: [5] | ||
icl_task_type: multiple_choice | ||
- | ||
label: agi_eval_lsat_lr | ||
dataset_uri: eval/local_data/reading_comprehension/agi_eval_lsat_lr.jsonl | ||
num_fewshot: [5] | ||
icl_task_type: multiple_choice | ||
- | ||
label: coqa | ||
dataset_uri: eval/local_data/reading_comprehension/coqa.jsonl | ||
num_fewshot: [0] | ||
icl_task_type: language_modeling | ||
- | ||
label: boolq | ||
dataset_uri: eval/local_data/reading_comprehension/boolq.jsonl | ||
num_fewshot: [0] | ||
icl_task_type: multiple_choice | ||
continuation_delimiter: "\nAnswer: " | ||
- | ||
label: agi_eval_sat_en | ||
dataset_uri: eval/local_data/reading_comprehension/agi_eval_sat_en.jsonl | ||
num_fewshot: [5] | ||
icl_task_type: multiple_choice |