| { | |
| "train": [ | |
| { | |
| "dataset": "aeslc", | |
| "model": "T5", | |
| "name": "aeslc-prompt-t5", | |
| "input": "summarize: {{email_body}}", | |
| "target": "{{subject_line}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| { | |
| "dataset": "anli", | |
| "model": "T5", | |
| "name": "anli-prompt-t5", | |
| "input": "premise: {{premise}} hypothesis: {{hypothesis}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "billsum", | |
| "model": "T5", | |
| "name": "billsum-prompt-t5", | |
| "input": "summarize: {{text}}", | |
| "target": "{{summary}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| { | |
| "dataset": "boolq", | |
| "model": "T5", | |
| "name": "boolq-prompt-t5", | |
| "input": "boolq question: {{question}} passage: {{passage}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "c4", | |
| "model": "T5", | |
| "name": "c4-prompt-t5", | |
| "input": "", | |
| "target": "{{text}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| { | |
| "dataset": "cb", | |
| "model": "T5", | |
| "name": "cb-prompt-t5", | |
| "input": "cb premise: {{premise}} hypothesis: {{hypothesis}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy", | |
| "multiclass_f1" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy", | |
| "multiclass_f1" | |
| ] | |
| }, | |
| { | |
| "dataset": "cnn_dailymail", | |
| "model": "T5", | |
| "name": "cnn_dailymail-prompt-t5", | |
| "input": "summarize: {{article}}", | |
| "target": "{{highlights}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| { | |
| "dataset": "cola", | |
| "model": "T5", | |
| "name": "cola-prompt-t5", | |
| "input": "cola sentence: {{sentence}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "matthews_corrcoef" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "matthews_corrcoef" | |
| ] | |
| }, | |
| { | |
| "dataset": "common_gen", | |
| "model": "T5", | |
| "name": "common_gen-prompt-t5", | |
| "input": "generate: {{lambda concepts: \" \".join(concepts)}}", | |
| "target": "{{target}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| { | |
| "dataset": "copa", | |
| "model": "T5", | |
| "name": "copa-prompt-t5", | |
| "input": "copa premise: {{premise}} choice1: {{choice1}} choice2: {{choice2}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "cosmos_qa", | |
| "model": "T5", | |
| "name": "cosmos_qa-prompt-t5", | |
| "input": "question: {{question}} context: {{context}} choice0: {{answer0}} choice1: {{answer1}} choice2: {{answer2}} choice3: {{answer3}}", | |
| "target": "{{lambda label: str(label)}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ] | |
| }, | |
| { | |
| "dataset": "cxc", | |
| "model": "T5", | |
| "name": "cxc-prompt-t5", | |
| "input": "sentence1: {{sentence1}} sentence2: {{sentence2}}", | |
| "target": "{{lambda score: np.round((score * 5) / 5, decimals=1)}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "pearson_corrcoef", | |
| "spearman_corrcoef" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "pearson_corrcoef", | |
| "spearman_corrcoef" | |
| ] | |
| }, | |
| { | |
| "dataset": "doc_nli", | |
| "model": "T5", | |
| "name": "doc_nli-prompt-t5", | |
| "input": "premise: {{premise}} hypothesis: {{hypothesis}}", | |
| "target": "{{label}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "drop", | |
| "model": "T5", | |
| "name": "drop-prompt-t5", | |
| "input": "question: {{question}} context: {{passage}}", | |
| "target": "{{answers_spans[\"spans\"][0]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ], | |
| "preprocessing": [ | |
| "pad_punctuation" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ] | |
| }, | |
| { | |
| "dataset": "gigaword", | |
| "model": "T5", | |
| "name": "gigaword-prompt-t5", | |
| "input": "summarize: {{document}}", | |
| "target": "{{summary}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| { | |
| "dataset": "hellaswag", | |
| "model": "T5", | |
| "name": "hellaswag-prompt-t5", | |
| "input": "context: {{ctx}} ending0: {{endings[0]}} ending1: {{endings[1]}} ending2: {{endings[2]}} ending3: {{endings[3]}}", | |
| "target": "{{lambda label: str(label)}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "hotpot_qa", | |
| "model": "T5", | |
| "name": "hotpot_qa-prompt-t5", | |
| "input": "question: {{question}} context: {{\"\".join(context[\"sentences\"][0])}}", | |
| "target": "{{answer}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ], | |
| "preprocessing": [ | |
| "pad_punctuation" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ] | |
| }, | |
| { | |
| "dataset": "mnli", | |
| "model": "T5", | |
| "name": "mnli-prompt-t5", | |
| "input": "mnli premise: {{premise}} hypothesis: {{hypothesis}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "mrpc", | |
| "model": "T5", | |
| "name": "mrpc-prompt-t5", | |
| "input": "mrpc sentence1: {{sentence1}} sentence2: {{sentence2}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy", | |
| "f1_invalid" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy", | |
| "f1_invalid" | |
| ] | |
| }, | |
| { | |
| "dataset": "mrqa", | |
| "model": "T5", | |
| "name": "mrqa-prompt-t5", | |
| "input": "question: {{question}} context: {{context}}", | |
| "target": "{{answers[0]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ], | |
| "preprocessing": [ | |
| "pad_punctuation" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ] | |
| }, | |
| { | |
| "dataset": "multirc", | |
| "model": "T5", | |
| "name": "multirc-prompt-t5", | |
| "input": "multirc question: {{question}} answer: {{answer}} paragraph: {{paragraph}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "exact_match", | |
| "multirc_f1" | |
| ], | |
| "preprocessing": [ | |
| "remove_markup" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "exact_match", | |
| "multirc_f1" | |
| ] | |
| }, | |
| { | |
| "dataset": "multi_news", | |
| "model": "T5", | |
| "name": "multi_news-prompt-t5", | |
| "input": "summarize: {{document}}", | |
| "target": "{{summary}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| { | |
| "dataset": "multi_nli", | |
| "model": "T5", | |
| "name": "multi_nli-prompt-t5", | |
| "input": "premise: {{premise}} hypothesis: {{hypothesis}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "newsqa", | |
| "model": "T5", | |
| "name": "newsqa-prompt-t5", | |
| "input": "question: {{question}} context: {{context}}", | |
| "target": "{{answer[0]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ], | |
| "preprocessing": [ | |
| "pad_punctuation" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| { | |
| "dataset": "newsqa", | |
| "model": "T5", | |
| "name": "newsqa-prompt-t5-without-context", | |
| "input": "question: {{question}}", | |
| "target": "{{answer[0]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ], | |
| "preprocessing": [ | |
| "pad_punctuation" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| { | |
| "dataset": "newsroom", | |
| "model": "T5", | |
| "name": "newsroom-prompt-t5", | |
| "input": "summarize: {{text}}", | |
| "target": "{{summary}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| { | |
| "dataset": "nq_open", | |
| "model": "T5", | |
| "name": "nq_open-prompt-t5", | |
| "input": "nq question: {{question}}", | |
| "target": "{{answer[0]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ], | |
| "preprocessing": [ | |
| "pad_punctuation" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ] | |
| }, | |
| { | |
| "dataset": "piqa", | |
| "model": "T5", | |
| "name": "piqa-prompt-t5", | |
| "input": "question: {{goal}} choice1: {{sol1}} choice2: {{sol2}}", | |
| "target": "{{lambda label: str(label)}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "qnli", | |
| "model": "T5", | |
| "name": "qnli-prompt-t5", | |
| "input": "qnli question: {{question}} sentence: {{sentence}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "qqp", | |
| "model": "T5", | |
| "name": "qqp-prompt-t5", | |
| "input": "qqp question1: {{question1}} question2: {{question2}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy", | |
| "f1_invalid" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy", | |
| "f1_invalid" | |
| ] | |
| }, | |
| { | |
| "dataset": "race", | |
| "model": "T5", | |
| "name": "race-prompt-t5", | |
| "input": "question: {{question}} context: {{article}} choice0: {{options[0]}} choice1: {{options[1]}} choice2: {{options[2]}} choice3: {{options[3]}}", | |
| "target": "{{lambda answer: str(ord(answer) - ord(\"A\"))}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "record", | |
| "model": "T5", | |
| "name": "record-prompt-t5", | |
| "input": "record query: {{query}} entities: {{\", \".join(entities)}} passage: {{passage}}", | |
| "target": "{{answers[0]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ], | |
| "preprocessing": [ | |
| "record_preprocess" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ] | |
| }, | |
| { | |
| "dataset": "rte", | |
| "model": "T5", | |
| "name": "rte-prompt-t5", | |
| "input": "rte sentence1: {{sentence1}} sentence2: {{sentence2}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "samsum", | |
| "model": "T5", | |
| "name": "samsum-prompt-t5", | |
| "input": "summarize: {{dialogue}}", | |
| "target": "{{summary}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| { | |
| "dataset": "search_qa", | |
| "model": "T5", | |
| "name": "search_qa-prompt-t5", | |
| "input": "question: {{question}}", | |
| "target": "{{answer}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ], | |
| "preprocessing": [ | |
| "pad_punctuation" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ] | |
| }, | |
| { | |
| "dataset": "snli", | |
| "model": "T5", | |
| "name": "snli-prompt-t5", | |
| "input": "premise: {{premise}} hypothesis: {{hypothesis}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "social_i_qa", | |
| "model": "T5", | |
| "name": "social_i_qa-prompt-t5", | |
| "input": "question: {{question}} context: {{context}} || choice0: {{answerA}} || choice1: {{answerB}} || choice2: {{answerC}}", | |
| "target": "{{lambda label: str(int(label) - 1)}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "squad", | |
| "model": "T5", | |
| "name": "squad-prompt-t5", | |
| "input": "question: {{question}} context: {{context}}", | |
| "target": "{{answers[\"text\"][0]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ], | |
| "preprocessing": [ | |
| "pad_punctuation" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ] | |
| }, | |
| { | |
| "dataset": "squad", | |
| "model": "T5", | |
| "name": "squad-prompt-trivia-t5", | |
| "input": "squad trivia question: {{question}}", | |
| "target": "{{answers[\"text\"][0]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ], | |
| "preprocessing": [ | |
| "pad_punctuation" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "squad" | |
| ] | |
| }, | |
| { | |
| "dataset": "sst2", | |
| "model": "T5", | |
| "name": "sst2-prompt-t5", | |
| "input": "sst2 sentence: {{sentence}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ], | |
| "preprocessing": [ | |
| "pad_punctuation" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "stsb", | |
| "model": "T5", | |
| "name": "stsb-prompt-t5", | |
| "input": "stsb sentence1: {{sentence1}} sentence2: {{sentence2}}", | |
| "target": "{{lambda label: np.round((label * 5) / 5, decimals=1)}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "pearson_corrcoef", | |
| "spearman_corrcoef" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "pearson_corrcoef", | |
| "spearman_corrcoef" | |
| ] | |
| }, | |
| { | |
| "dataset": "wic", | |
| "model": "T5", | |
| "name": "wic-prompt-t5", | |
| "input": "wic sentence1: {{sentence1}} sentence2: {{sentence2}} word: {{word}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "wiki_auto", | |
| "model": "T5", | |
| "name": "wiki_auto-prompt-t5", | |
| "input": "{{source}}", | |
| "target": "{{target}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "bleu" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "bleu" | |
| ] | |
| }, | |
| { | |
| "dataset": "wiki_lingua", | |
| "model": "T5", | |
| "name": "wiki_lingua-prompt-t5", | |
| "input": "{{source_aligned[\"en\"]}}", | |
| "target": "{{target_aligned[\"en\"]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| { | |
| "dataset": "winogrande", | |
| "model": "T5", | |
| "name": "winogrande-prompt-t5", | |
| "input": "sentence: {{sentence}} option0: {{option1}} option1: {{option2}}", | |
| "target": "{{lambda answer: str(int(answer) - 1)}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "wnli", | |
| "model": "T5", | |
| "name": "wnli-prompt-t5", | |
| "input": "wnli sentence1: {{sentence1}} sentence2: {{sentence2}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "wsc", | |
| "model": "T5", | |
| "name": "wsc-prompt-t5", | |
| "input": "wsc text: {{text}}", | |
| "target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ], | |
| "preprocessing": [ | |
| "wsc_preprocess" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "accuracy" | |
| ] | |
| }, | |
| { | |
| "dataset": "xsum", | |
| "model": "T5", | |
| "name": "xsum-prompt-t5", | |
| "input": "summarize: {{document}}", | |
| "target": "{{target}}", | |
| "metadata": { | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| }, | |
| "languages": [ | |
| "en" | |
| ], | |
| "metrics": [ | |
| "rouge" | |
| ] | |
| } | |
| ] | |
| } |