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minimal_tests.py
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minimal_tests.py
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from os import system
import sys
from exam_pp import exam_grading, exam_post_pipeline, exam_leaderboard_analysis, exam_verification
from exam_pp.test_bank_prompts import QuestionPrompt
#python -m exam_pp.exam_grading -o result.jsonl.gz ./benchmarkY3test-exam-qrels-runs-with-text.jsonl.gz--model-pipeline text2text --model-name google/flan-t5-large --prompt-class QuestionCompleteConcisePromptWithAnswerKey tqa --question-path ./tqa_train_val_test --question-type tqa
print("\n\n\n\n\n\n")
# exam_grading.main(cmdargs=["./dl19-qrels-with-text.jsonl.gz"
# ,"--run-dir","./run-dl"
# ,"-o","result.jsonl.gz"
# ,"--model-pipeline", "text2text"
# ,"--model-name","google/flan-t5-base"
# ,"--prompt-class","QuestionSelfRatedUnanswerablePromptWithChoices"
# ,"--max-queries","1","--max-paragraphs","1","--question-type"
# ,"question-bank","--question-path","./dl19-questions.jsonl.gz"
# ])
dl_ungraded_file = "trecDL2020-qrels-runs-with-text.jsonl.gz"
# car_graded_file = "./t5-rating-naghmehs-tqa-exam-qrel-runs-result-T0050.jsonl.gz"
car_graded_file = "./questions-rate--nuggets-explain--nuggets-rate--all-benchmarkY3test-qrels-runs-with-text.jsonl.gz"
dl_graded_file = "dl19-exam-qrels-with-text.jsonl.gz"
# exam_verification.main(cmdargs=[
# # dl_graded_file
# 'data-ictir/dl20-graded.jsonl.gz'
# , "--uncovered-passages"
# , "--model","google/flan-t5-large"
# ,"--prompt-class","QuestionSelfRatedUnanswerablePromptWithChoices"
# , "--question-type", "question-bank"
# , "--question-path", "dl20-questions.jsonl.gz"
# , "--min-judgment", "2"
# , "--min-rating", "1"
# ])
# exam_verification.main(cmdargs=[dl_graded_file
# , "--bad-question"
# , "--model","google/flan-t5-large"
# ,"--prompt-class","QuestionSelfRatedUnanswerablePromptWithChoices"
# , "--question-type", "question-bank"
# , "--question-path", "dl19-questions.jsonl.gz"
# , "--min-judgment", "2"
# , "--min-rating", "1"
# ])
# exam_verification.main(cmdargs=[dl_graded_file
# , "--verify-grading"
# , "--model","google/flan-t5-large"
# ,"--prompt-class","QuestionSelfRatedUnanswerablePromptWithChoices"
# ,"--prompt-class-answer","QuestionCompleteConciseUnanswerablePromptWithChoices"
# ,"--prompt-type",QuestionPrompt.my_prompt_type
# , "--question-type", "question-bank"
# , "--question-path", "dl19-questions.jsonl.gz"
# # , "--min-judgment", "2"
# # , "--min-rating", "1"
# ])
# exam_verification.main(cmdargs=[dl_graded_file
# , "--display"
# , "--model","google/flan-t5-large"
# ,"--prompt-class","QuestionSelfRatedUnanswerablePromptWithChoices"
# ,"--prompt-class-answer","QuestionCompleteConciseUnanswerablePromptWithChoices"
# ,"--prompt-type",QuestionPrompt.my_prompt_type
# , "--question-type", "question-bank"
# , "--question-path", "dl19-questions.jsonl.gz"
# # , "--min-judgment", "2"
# # , "--min-rating", "1"
# ])
# exam_verification.main(cmdargs=['data-ictir/dl20-graded.jsonl.gz'
# , "--display"
# , "--model","google/flan-t5-large"
# ,"--prompt-class","QuestionSelfRatedUnanswerablePromptWithChoices"
# ,"--prompt-class-answer","QuestionCompleteConciseUnanswerablePromptWithChoices"
# ,"--prompt-type",QuestionPrompt.my_prompt_type
# , "--question-type", "question-bank"
# , "--question-path", "data-ictir/dl20-questions.jsonl.gz"
# # , "--min-judgment", "2"
# # , "--min-rating", "1"
# ])
# direct grading
dl_output ="graded-"+dl_ungraded_file
# exam_leaderboard_analysis.main(cmdargs=[dl_graded_file
# , "--qrel-analysis-out", "analysis-out.tsv"
# # ,"-q","out.qrel"
# ,"--run-dir","./run-dl","--qrel-query-facets", "--use-ratings"
# , "--model","google/flan-t5-large"
# ,"--prompt-class","QuestionSelfRatedUnanswerablePromptWithChoices","QuestionSelfRatedUnanswerablePromptWithChoices"
# , "--question-set", "question-bank"
# # , "--leaderboards-out", "dl.cover.tsv"
# # , "--qrel-leaderboard-out", "dl.qrel.tsv"
# # , "--testset","dl19"
# ,"--use-ratings"
# , "--min-relevant-judgment", "2"
# , '--official-leaderboard', 'faux-leaderboard.json'
# , "--trec-eval-metric", "map", "P.20", "ndcg_cut.10"
# ])
# exam_grading.main([dl_ungraded_file
# ,"-o",dl_output
# ,"--model-pipeline", "text2text"
# ,"--model-name","google/flan-t5-base"
# ,"--prompt-class","Thomas"
# ,"--max-queries","1","--max-paragraphs","100"
# ,"--question-type","question-bank"
# ,"--use-nuggets"
# ,"--question-path","dl20-nuggets.jsonl.gz"])
# for prompt_class in ["FagB", "FagB_few", "Sun", "Sun_few", "HELM"]:
# exam_post_pipeline.main(cmdargs=["Thomas-Sun_few-Sun-HELM-FagB_few-FagB-questions-explain--questions-rate--nuggets-explain--nuggets-rate--all-trecDL2020-qrels-runs-with-text.jsonl.gz",
# "--inter-annotator-out",f"{prompt_class}.correlation.tex"
# ,"--model","google/flan-t5-large"
# ,"--prompt-class",prompt_class
# , "--question-set", "question-bank"
# , "--testset","dl20"
# , "--min-relevant-judgment", "2"
# # ,"--use-ratings"
# ])
# Other
# exam_post_pipeline.main(cmdargs=[dl_graded_file,
# "--inter-annotator-out","out.correlation.tex"
# ,"--model","google/flan-t5-large","--prompt-class","QuestionSelfRatedUnanswerablePromptWithChoices"
# , "--question-set", "question-bank"
# , "--testset","dl19"
# , "--min-relevant-judgment", "2"
# ,"--use-ratings"
# , '--official-leaderboard', 'faux-leaderboard.json'
# ])
exam_post_pipeline.main(cmdargs=[car_graded_file
,"-q","out.qrel"
,"--run-dir","./run-car","--qrel-query-facets", "--use-ratings"
, "--model","google/flan-t5-large","--prompt-class","QuestionSelfRatedUnanswerablePromptWithChoices"
, "--question-set", "question-bank"
, "--leaderboard-out", "dl.cover.tsv"
, "--qrel-leaderboard-out", "dl.qrel.tsv"
# , "--testset","dl19"
,"--use-ratings"
,"--qrel-query-facets"
, "--min-relevant-judgment", "1"
# , "--min-relevant-judgment", "2"
, '--official-leaderboard', 'faux-leaderboard.json'
])
sys.exit(1)
exam_post_pipeline.main(cmdargs=[dl_graded_file
,"--leaderboard-out","out.leaderboard.tsv"
,"--model","google/flan-t5-large","--prompt-class","QuestionSelfRatedUnanswerablePromptWithChoices"
, "--question-set", "question-bank"
, "-r", "--min-self-rating","4"
, "--testset","dl19"
, '--official-leaderboard', 'faux-leaderboard.json'
])
exam_post_pipeline.main(cmdargs= [car_graded_file ,"--leaderboard-out","out.leaderboard.tsv","--model","google/flan-t5-large","--prompt-class","QuestionSelfRatedUnanswerablePromptWithChoices",
"--question-set", "tqa", "-r", "--min-self-rating","4"])
print("\n\n\nNuggets\n\n\n")
exam_grading.main(["./benchmarkY3test-exam-qrels-runs-with-text.jsonl.gz"
,"-o","result.jsonl.gz"
,"--model-pipeline", "text2text"
,"--model-name","google/flan-t5-base"
,"--prompt-class","NuggetSelfRatedPrompt"
,"--max-queries","1","--max-paragraphs","1"
,"--question-type","question-bank"
,"--use-nuggets"
,"--question-path","car-nuggets.jsonl.gz"])
print("\n\n\n\n\n\n")
exam_grading.main(["./benchmarkY3test-exam-qrels-runs-with-text.jsonl.gz"
,"-o","result.jsonl.gz"
,"--model-pipeline", "text2text"
,"--model-name","google/flan-t5-base"
,"--prompt-class","NuggetExtractionPrompt"
,"--max-queries","1","--max-paragraphs","1"
,"--question-type","question-bank"
,"--use-nuggets"
,"--question-path","car-nuggets.jsonl.gz"])
print("\n\n\nQuestionbank Questions\n\n\n")
exam_grading.main(["./benchmarkY3test-exam-qrels-runs-with-text.jsonl.gz"
,"-o","result.jsonl.gz"
,"--model-pipeline", "text2text"
,"--model-name","google/flan-t5-base"
,"--prompt-class","QuestionAnswerablePromptWithChoices"
,"--max-queries","1","--max-paragraphs","1"
,"--question-type","question-bank"
,"--question-path","car-questions.jsonl.gz"])
print("\n\n\n\n\n\n")
print("\n\n\n\n\n\n")
exam_grading.main(["./benchmarkY3test-exam-qrels-runs-with-text.jsonl.gz"
,"-o","result.jsonl.gz"
,"--model-pipeline", "text2text"
,"--model-name","google/flan-t5-base"
,"--prompt-class","QuestionCompleteConciseUnanswerablePromptWithChoices"
,"--max-queries","1","--max-paragraphs","1"
,"--question-type","question-bank"
,"--question-path","car-questions.jsonl.gz"])
print("\n\n\n\n\n\n")
exam_grading.main(cmdargs=["./benchmarkY3test-exam-qrels-runs-with-text.jsonl.gz"
,"-o","result.jsonl.gz"
,"--model-pipeline", "text2text"
,"--model-name","google/flan-t5-base"
,"--prompt-class","QuestionSelfRatedUnanswerablePromptWithChoices"
,"--max-queries","1","--max-paragraphs","1"
,"--question-type","question-bank"
,"--question-path","car-questions.jsonl.gz"])
print("\n\n\nTQA \n\n\n")
exam_grading.main(cmdargs=["./benchmarkY3test-exam-qrels-runs-with-text.jsonl.gz"
,"-o","result.jsonl.gz"
,"--model-pipeline", "text2text"
,"--model-name","google/flan-t5-base"
,"--prompt-class","QuestionCompleteConcisePromptWithAnswerKey2"
,"--question-path","./tqa_train_val_test"
,"--max-queries","1","--max-paragraphs","1","--question-type", "tqa"
])
print("\n\n\n\n\n\n")
exam_grading.main(cmdargs=["./benchmarkY3test-exam-qrels-runs-with-text.jsonl.gz"
,"-o","result.jsonl.gz"
,"--model-pipeline", "text2text"
,"--model-name","google/flan-t5-base"
,"--prompt-class","QuestionCompleteConcisePromptWithAnswerKey"
,"--question-path","./tqa_train_val_test"
,"--max-queries","1","--max-paragraphs","1","--question-type", "tqa"
])
print("\n\n\n\n\n\n")
exam_grading.main(cmdargs=["./benchmarkY3test-exam-qrels-runs-with-text.jsonl.gz"
,"-o","result.jsonl.gz"
,"--model-pipeline", "text2text"
,"--model-name","google/flan-t5-base"
,"--prompt-class","QuestionPromptWithChoices"
,"--question-path","./tqa_train_val_test"
,"--max-queries","1","--max-paragraphs","1","--question-type", "tqa"
])
print("\n\n\ngenQ \n\n\n")
exam_grading.main(cmdargs=["./benchmarkY3test-exam-qrels-runs-with-text.jsonl.gz"
,"-o","result.jsonl.gz"
,"--model-pipeline", "text2text"
,"--model-name","google/flan-t5-base"
,"--prompt-class","QuestionSelfRatedUnanswerablePromptWithChoices"
,"--max-queries","1","--max-paragraphs","1"
,"--question-type","genq","--question-path","naghmeh-questions.json"
])
# result_trecDL2019-qrels-with-text__new_subqueries_v2__large.jsonl.gz