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30 lines
1.2 KiB
Python
30 lines
1.2 KiB
Python
names = [
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["1-1", "article_recitation"],
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["1-2", "knowledge_question_answering"],
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["2-1", "document_proofreading"],
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["2-2", "dispute_focus_identification"],
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["2-3", "marital_disputes_identification"],
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["2-4", "issue_topic_identification"],
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["2-5", "reading_comprehension"],
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["2-6", "named_entity_recognition"],
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["2-7", "opinion_summarization"],
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["2-8", "argument_mining"],
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["2-9", "event_detection"],
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["2-10", "trigger_word_extraction"],
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["3-1", "fact_based_article_prediction"],
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["3-2", "scene_based_article_prediction"],
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["3-3", "charge_prediction"],
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["3-4", "prison_term_prediction_wo_article"],
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["3-5", "prison_term_prediction_w_article"],
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["3-6", "case_analysis"],
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["3-7", "criminal_damages_calculation"],
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["3-8", "consultation"],
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]
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lawbench_summary_groups = []
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_lawbench_0_shot = ['lawbench-' + index + '-' + name + '-0-shot' for index, name in names]
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lawbench_summary_groups.append({'name': 'lawbench-0-shot', 'subsets': _lawbench_0_shot})
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_lawbench_1_shot = ['lawbench-' + index + '-' + name + '-1-shot' for index, name in names]
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lawbench_summary_groups.append({'name': 'lawbench-1-shot', 'subsets': _lawbench_1_shot})
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