Datasets:
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metrics
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afp
mT0
afp-factuality-prompt-mt0
factuality claim: {{claim}}
{{lambda label: choices[label]}}
{ "languages": [ "bg", "bn", "ca", "cs", "de", "el", "en", "es", "fi", "fr", "hi", "hr", "hrv", "hu", "id", "ko", "ms", "my", "nl", "pl", "pt", "ro", "sk", "sv", "th" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters" ] }
[ "bg", "bn", "ca", "cs", "de", "el", "en", "es", "fi", "fr", "hi", "hr", "hrv", "hu", "id", "ko", "ms", "my", "nl", "pl", "pt", "ro", "sk", "sv", "th" ]
[ "accuracy", "macro_f1" ]
liar
mT0
liar-binary-factuality-prompt-mt0
factuality claim: {{statement}}
{{lambda label: choices[0 if label in [0, 1, 5] else 1]}}
{ "languages": [ "en" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters" ] }
[ "en" ]
[ "accuracy", "macro_f1" ]
liar
mT0
liar-multiclass-factuality-prompt-mt0
factuality claim: {{statement}}
{{lambda label: choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters" ] }
[ "en" ]
[ "accuracy", "macro_f1" ]
xnli
mT0
xnli-prompt-mt0
{{premise}}\nQuestion: {{hypothesis}} True, False or Neither?
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "ar", "bg", "de", "el", "en", "es", "fr", "hi", "ru", "sw", "th", "tr", "ur", "vi", "zh" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": null }
[ "ar", "bg", "de", "el", "en", "es", "fr", "hi", "ru", "sw", "th", "tr", "ur", "vi", "zh" ]
[ "accuracy", "macro_f1" ]
cb
T5
cb-prompt-t5
cb premise: {{premise}} hypothesis: {{hypothesis}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy", "multiclass_f1" ], "preprocessing": null }
[ "en" ]
[ "accuracy", "multiclass_f1" ]
aeslc
T5
aeslc-prompt-t5
summarize: {{email_body}}
{{subject_line}}
{ "languages": [ "en" ], "metrics": [ "rouge" ], "preprocessing": null }
[ "en" ]
[ "rouge" ]
boolq
T5
boolq-prompt-t5
boolq question: {{question}} passage: {{passage}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": null }
[ "en" ]
[ "accuracy" ]
lesa2021
mT0
lesa2021-checkworthiness-prompt-mt0
checkworthiness claim: {{en}}
{{lambda claim: choices[int(claim)]}}
{ "languages": [ "en" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters" ] }
[ "en" ]
[ "accuracy", "macro_f1" ]
newsroom
T5
newsroom-prompt-t5
summarize: {{text}}
{{summary}}
{ "languages": [ "en" ], "metrics": [ "rouge" ], "preprocessing": null }
[ "en" ]
[ "rouge" ]
clef2018
mT0
clef2018-checkworthiness-prompt-mt0
checkworthiness claim: {{text}}
{{lambda label: choices[label]}}
{ "languages": [ "ar", "en" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters" ] }
[ "ar", "en" ]
[ "accuracy", "macro_f1" ]
record
T5
record-prompt-t5
record query: {{query}} entities: {{", ".join(entities)}} passage: {{passage}}
{{answers[0]}}
{ "languages": [ "en" ], "metrics": [ "squad" ], "preprocessing": [ "record_preprocess" ] }
[ "en" ]
[ "squad" ]
anli
T5
anli-prompt-t5
premise: {{premise}} hypothesis: {{hypothesis}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": null }
[ "en" ]
[ "accuracy" ]
skquad
mT0
skquad-prefix-prompt-mt0
question: {{question}} context: {{context}}
{{lambda answers: answers["text"][0]}}
{ "languages": [ "en", "ar", "de", "es", "hi", "vi", "zh" ], "metrics": [ "squad" ], "preprocessing": [ "pad_punctuation" ] }
[ "en", "ar", "de", "es", "hi", "vi", "zh" ]
[ "squad" ]
skquad
mT0
skquad-instruct1-prompt-mt0
Answer the question depending on the context. Context: {{context}}; Question: {{question}}; Answer:
{{lambda answers: answers["text"][0]}}
{ "languages": [ "en", "ar", "de", "es", "hi", "vi", "zh" ], "metrics": [ "squad" ], "preprocessing": null }
[ "en", "ar", "de", "es", "hi", "vi", "zh" ]
[ "squad" ]
skquad
mT0
skquad-instruct2-prompt-mt0
What is the answer? Context: {{context}}; Question: {{question}}; Answer:
{{lambda answers: answers["text"][0]}}
{ "languages": [ "en", "ar", "de", "es", "hi", "vi", "zh" ], "metrics": [ "squad" ], "preprocessing": null }
[ "en", "ar", "de", "es", "hi", "vi", "zh" ]
[ "squad" ]
skquad
mT0
skquad-instruct3-prompt-mt0
Given the following passage "{{context}}", answer the following question. Note that the answer is present within the text. Question: {{question}}
{{lambda answers: answers["text"][0]}}
{ "languages": [ "en", "ar", "de", "es", "hi", "vi", "zh" ], "metrics": [ "squad" ], "preprocessing": null }
[ "en", "ar", "de", "es", "hi", "vi", "zh" ]
[ "squad" ]
skquad
mT0
skquad-instruct4-prompt-mt0
Refer to the passage below and answer the following question: Passage: {{context}} Question: {{question}}
{{lambda answers: answers["text"][0]}}
{ "languages": [ "en", "ar", "de", "es", "hi", "vi", "zh" ], "metrics": [ "squad" ], "preprocessing": null }
[ "en", "ar", "de", "es", "hi", "vi", "zh" ]
[ "squad" ]
wikiann
mT0
wikiann-prompt-mt0
Sentence: {{lambda tokens: " ".join(tokens)}}\nIdentify all named entities in the sentence using PER, LOC, ORG.
{{lambda spans: ", ".join(spans)}}
{ "languages": [ "en", "ar", "de", "es", "fr", "hi", "it", "ja", "nl", "pt", "ru", "zh", "cs", "sk" ], "metrics": [ "span_f1" ], "preprocessing": null }
[ "en", "ar", "de", "es", "fr", "hi", "it", "ja", "nl", "pt", "ru", "zh", "cs", "sk" ]
[ "span_f1" ]
billsum
T5
billsum-prompt-t5
summarize: {{text}}
{{summary}}
{ "languages": [ "en" ], "metrics": [ "rouge" ], "preprocessing": null }
[ "en" ]
[ "rouge" ]
mlqa
mT0
mlqa-prefix-prompt-mt0
question: {{question}} context: {{context}}
{{lambda answers: answers["text"][0]}}
{ "languages": [ "en", "ar", "de", "es", "hi", "vi", "zh" ], "metrics": [ "squad" ], "preprocessing": [ "pad_punctuation" ] }
[ "en", "ar", "de", "es", "hi", "vi", "zh" ]
[ "squad" ]
mlqa
mT0
mlqa-instruct1-prompt-mt0
Answer the question depending on the context. Context: {{context}}; Question: {{question}}; Answer:
{{lambda answers: answers["text"][0]}}
{ "languages": [ "en", "ar", "de", "es", "hi", "vi", "zh" ], "metrics": [ "squad" ], "preprocessing": null }
[ "en", "ar", "de", "es", "hi", "vi", "zh" ]
[ "squad" ]
mlqa
mT0
mlqa-instruct2-prompt-mt0
What is the answer? Context: {{context}}; Question: {{question}}; Answer:
{{lambda answers: answers["text"][0]}}
{ "languages": [ "en", "ar", "de", "es", "hi", "vi", "zh" ], "metrics": [ "squad" ], "preprocessing": null }
[ "en", "ar", "de", "es", "hi", "vi", "zh" ]
[ "squad" ]
mlqa
mT0
mlqa-instruct3-prompt-mt0
Given the following passage "{{context}}", answer the following question. Note that the answer is present within the text. Question: {{question}}
{{lambda answers: answers["text"][0]}}
{ "languages": [ "en", "ar", "de", "es", "hi", "vi", "zh" ], "metrics": [ "squad" ], "preprocessing": null }
[ "en", "ar", "de", "es", "hi", "vi", "zh" ]
[ "squad" ]
mlqa
mT0
mlqa-instruct4-prompt-mt0
Refer to the passage below and answer the following question: Passage: {{context}} Question: {{question}}
{{lambda answers: answers["text"][0]}}
{ "languages": [ "en", "ar", "de", "es", "hi", "vi", "zh" ], "metrics": [ "squad" ], "preprocessing": null }
[ "en", "ar", "de", "es", "hi", "vi", "zh" ]
[ "squad" ]
drop
T5
drop-prompt-t5
question: {{question}} context: {{passage}}
{{answers_spans["spans"][0]}}
{ "languages": [ "en" ], "metrics": [ "squad" ], "preprocessing": [ "pad_punctuation" ] }
[ "en" ]
[ "squad" ]
stsb
T5
stsb-prompt-t5
stsb sentence1: {{sentence1}} sentence2: {{sentence2}}
{{lambda label: np.round((label * 5) / 5, decimals=1)}}
{ "languages": [ "en" ], "metrics": [ "pearson_corrcoef", "spearman_corrcoef" ], "preprocessing": null }
[ "en" ]
[ "pearson_corrcoef", "spearman_corrcoef" ]
mrpc
T5
mrpc-prompt-t5
mrpc sentence1: {{sentence1}} sentence2: {{sentence2}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy", "f1_invalid" ], "preprocessing": null }
[ "en" ]
[ "accuracy", "f1_invalid" ]
gigaword
T5
gigaword-prompt-t5
summarize: {{document}}
{{summary}}
{ "languages": [ "en" ], "metrics": [ "rouge" ], "preprocessing": null }
[ "en" ]
[ "rouge" ]
piqa
T5
piqa-prompt-t5
question: {{goal}} choice1: {{sol1}} choice2: {{sol2}}
{{lambda label: str(label)}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": null }
[ "en" ]
[ "accuracy" ]
cosmos_qa
T5
cosmos_qa-prompt-t5
question: {{question}} context: {{context}} choice0: {{answer0}} choice1: {{answer1}} choice2: {{answer2}} choice3: {{answer3}}
{{lambda label: str(label)}}
{ "languages": [ "en" ], "metrics": [ "squad" ], "preprocessing": null }
[ "en" ]
[ "squad" ]
c4
T5
c4-prompt-t5
{{text}}
{ "languages": [ "en" ], "metrics": [ "rouge" ], "preprocessing": null }
[ "en" ]
[ "rouge" ]
copa
T5
copa-prompt-t5
copa premise: {{premise}} choice1: {{choice1}} choice2: {{choice2}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": null }
[ "en" ]
[ "accuracy" ]
mnli
T5
mnli-prompt-t5
mnli premise: {{premise}} hypothesis: {{hypothesis}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": null }
[ "en" ]
[ "accuracy" ]
cola
T5
cola-prompt-t5
cola sentence: {{sentence}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "matthews_corrcoef" ], "preprocessing": null }
[ "en" ]
[ "matthews_corrcoef" ]
wnli
T5
wnli-prompt-t5
wnli sentence1: {{sentence1}} sentence2: {{sentence2}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": null }
[ "en" ]
[ "accuracy" ]
social_i_qa
T5
social_i_qa-prompt-t5
question: {{question}} context: {{context}} || choice0: {{answerA}} || choice1: {{answerB}} || choice2: {{answerC}}
{{lambda label: str(int(label) - 1)}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": null }
[ "en" ]
[ "accuracy" ]
wiki_auto
T5
wiki_auto-prompt-t5
{{source}}
{{target}}
{ "languages": [ "en" ], "metrics": [ "bleu" ], "preprocessing": null }
[ "en" ]
[ "bleu" ]
hellaswag
T5
hellaswag-prompt-t5
context: {{ctx}} ending0: {{endings[0]}} ending1: {{endings[1]}} ending2: {{endings[2]}} ending3: {{endings[3]}}
{{lambda label: str(label)}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": null }
[ "en" ]
[ "accuracy" ]
search_qa
T5
search_qa-prompt-t5
question: {{question}}
{{answer}}
{ "languages": [ "en" ], "metrics": [ "squad" ], "preprocessing": [ "pad_punctuation" ] }
[ "en" ]
[ "squad" ]
demagog
mT0
demagog-factuality-prompt-mt0
factuality claim: {{claim}}
{{lambda label: choices[0 if label in ["Zavádějící", "Nepravda", "Zavádzajúce"] else (1 if label in ["Pravda"] else 2)]}}
{ "languages": [ "cs", "sk" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters" ] }
[ "cs", "sk" ]
[ "accuracy", "macro_f1" ]
claimbuster
mT0
claimbuster-checkworthiness-prompt-mt0
checkworthiness claim: {{text}}
{{lambda label: choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters" ] }
[ "en" ]
[ "accuracy", "macro_f1" ]
wikipedia
mT0
wikipedia-prompt-mt0
{{text}}
{ "languages": [ "en", "ar", "de", "es", "fr", "hi", "it", "ja", "nl", "pt", "ru", "zh", "cs", "sk" ], "metrics": [ "span_f1" ], "preprocessing": null }
[ "en", "ar", "de", "es", "fr", "hi", "it", "ja", "nl", "pt", "ru", "zh", "cs", "sk" ]
[ "span_f1" ]
wsc
T5
wsc-prompt-t5
wsc text: {{text}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": [ "wsc_preprocess" ] }
[ "en" ]
[ "accuracy" ]
multi_news
T5
multi_news-prompt-t5
summarize: {{document}}
{{summary}}
{ "languages": [ "en" ], "metrics": [ "rouge" ], "preprocessing": null }
[ "en" ]
[ "rouge" ]
clef2021
mT0
clef2021-checkworthiness-prompt-mt0
checkworthiness claim: {{tweet_text}}
{{lambda check_worthiness: choices[check_worthiness]}}
{ "languages": [ "ar", "bg", "nl", "en", "es", "tr" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters" ] }
[ "ar", "bg", "nl", "en", "es", "tr" ]
[ "accuracy", "macro_f1" ]
pawsx
mT0
paws-x-prompt-mt0
Sentence1: {{sentence1}}\nSentence2: {{sentence2}}\nQuestion: Do Sentence 1 and Sentence 2 express the same meaning? Yes or No?
{{lambda label: choices[label]}}
{ "languages": [ "en", "fr", "es", "de", "zh", "ja", "ko" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": null }
[ "en", "fr", "es", "de", "zh", "ja", "ko" ]
[ "accuracy", "macro_f1" ]
samsum
T5
samsum-prompt-t5
summarize: {{dialogue}}
{{summary}}
{ "languages": [ "en" ], "metrics": [ "rouge" ], "preprocessing": null }
[ "en" ]
[ "rouge" ]
winogrande
T5
winogrande-prompt-t5
sentence: {{sentence}} option0: {{option1}} option1: {{option2}}
{{lambda answer: str(int(answer) - 1)}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": null }
[ "en" ]
[ "accuracy" ]
hotpot_qa
T5
hotpot_qa-prompt-t5
question: {{question}} context: {{"".join(context["sentences"][0])}}
{{answer}}
{ "languages": [ "en" ], "metrics": [ "squad" ], "preprocessing": [ "pad_punctuation" ] }
[ "en" ]
[ "squad" ]
wiki_lingua
T5
wiki_lingua-prompt-t5
{{source_aligned["en"]}}
{{target_aligned["en"]}}
{ "languages": [ "en" ], "metrics": [ "rouge" ], "preprocessing": null }
[ "en" ]
[ "rouge" ]
multi_nli
T5
multi_nli-prompt-t5
premise: {{premise}} hypothesis: {{hypothesis}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": null }
[ "en" ]
[ "accuracy" ]
squad
T5
squad-prompt-t5
question: {{question}} context: {{context}}
{{answers["text"][0]}}
{ "languages": [ "en" ], "metrics": [ "squad" ], "preprocessing": [ "pad_punctuation" ] }
[ "en" ]
[ "squad" ]
squad
T5
squad-prompt-trivia-t5
squad trivia question: {{question}}
{{answers["text"][0]}}
{ "languages": [ "en" ], "metrics": [ "squad" ], "preprocessing": [ "pad_punctuation" ] }
[ "en" ]
[ "squad" ]
multirc
T5
multirc-prompt-t5
multirc question: {{question}} answer: {{answer}} paragraph: {{paragraph}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "exact_match", "multirc_f1" ], "preprocessing": [ "remove_markup" ] }
[ "en" ]
[ "exact_match", "multirc_f1" ]
rte
T5
rte-prompt-t5
rte sentence1: {{sentence1}} sentence2: {{sentence2}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": null }
[ "en" ]
[ "accuracy" ]
mrqa
T5
mrqa-prompt-t5
question: {{question}} context: {{context}}
{{answers[0]}}
{ "languages": [ "en" ], "metrics": [ "squad" ], "preprocessing": [ "pad_punctuation" ] }
[ "en" ]
[ "squad" ]
cxc
T5
cxc-prompt-t5
sentence1: {{sentence1}} sentence2: {{sentence2}}
{{lambda score: np.round((score * 5) / 5, decimals=1)}}
{ "languages": [ "en" ], "metrics": [ "pearson_corrcoef", "spearman_corrcoef" ], "preprocessing": null }
[ "en" ]
[ "pearson_corrcoef", "spearman_corrcoef" ]
doc_nli
T5
doc_nli-prompt-t5
premise: {{premise}} hypothesis: {{hypothesis}}
{{label}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": null }
[ "en" ]
[ "accuracy" ]
snli
T5
snli-prompt-t5
premise: {{premise}} hypothesis: {{hypothesis}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": null }
[ "en" ]
[ "accuracy" ]
newsqa
T5
newsqa-prompt-t5
question: {{question}} context: {{context}}
{{answer[0]}}
{ "languages": [ "en" ], "metrics": [ "rouge" ], "preprocessing": [ "pad_punctuation" ] }
[ "en" ]
[ "rouge" ]
newsqa
T5
newsqa-prompt-t5-without-context
question: {{question}}
{{answer[0]}}
{ "languages": [ "en" ], "metrics": [ "rouge" ], "preprocessing": [ "pad_punctuation" ] }
[ "en" ]
[ "rouge" ]
xfact
mT0
xfact-factuality-prompt-mt0
factuality claim: {{claim}}
{{lambda label: choices[{"false": 0, "partly true/misleading": 0, "mostly false": 0, "true": 1, "mostly true": 1, "half true": 1, "complicated/hard to categorise": 2, "other": 2}[label]]}}
{ "languages": [ "en" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters" ] }
[ "en" ]
[ "accuracy", "macro_f1" ]
xfact
mT0
xfact-factuality-evidence-prompt-mt0
factuality claim: {{claim}} evidence1: {{evidence_1}} evidence2: {{evidence_2}} evidence3: {{evidence_3}} evidence4: {{evidence_4}} evidence5: {{evidence_5}}
{{lambda label: choices[{"false": 0, "partly true/misleading": 0, "mostly false": 0, "true": 1, "mostly true": 1, "half true": 1, "complicated/hard to categorise": 2, "other": 2}[label]]}}
{ "languages": [ "en" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters", "pad_punctuation" ] }
[ "en" ]
[ "accuracy", "macro_f1" ]
common_gen
T5
common_gen-prompt-t5
generate: {{lambda concepts: " ".join(concepts)}}
{{target}}
{ "languages": [ "en" ], "metrics": [ "rouge" ], "preprocessing": null }
[ "en" ]
[ "rouge" ]
cssquad
mT0
cssquad-prefix-prompt-mt0
question: {{question}} context: {{context}}
{{lambda answers: answers["text"][0]}}
{ "languages": [ "en", "ar", "de", "es", "hi", "vi", "zh" ], "metrics": [ "squad" ], "preprocessing": [ "pad_punctuation" ] }
[ "en", "ar", "de", "es", "hi", "vi", "zh" ]
[ "squad" ]
cssquad
mT0
cssquad-instruct1-prompt-mt0
Answer the question depending on the context. Context: {{context}}; Question: {{question}}; Answer:
{{lambda answers: answers["text"][0]}}
{ "languages": [ "en", "ar", "de", "es", "hi", "vi", "zh" ], "metrics": [ "squad" ], "preprocessing": null }
[ "en", "ar", "de", "es", "hi", "vi", "zh" ]
[ "squad" ]
cssquad
mT0
cssquad-instruct2-prompt-mt0
What is the answer? Context: {{context}}; Question: {{question}}; Answer:
{{lambda answers: answers["text"][0]}}
{ "languages": [ "en", "ar", "de", "es", "hi", "vi", "zh" ], "metrics": [ "squad" ], "preprocessing": null }
[ "en", "ar", "de", "es", "hi", "vi", "zh" ]
[ "squad" ]
cssquad
mT0
cssquad-instruct3-prompt-mt0
Given the following passage "{{context}}", answer the following question. Note that the answer is present within the text. Question: {{question}}
{{lambda answers: answers["text"][0]}}
{ "languages": [ "en", "ar", "de", "es", "hi", "vi", "zh" ], "metrics": [ "squad" ], "preprocessing": null }
[ "en", "ar", "de", "es", "hi", "vi", "zh" ]
[ "squad" ]
cssquad
mT0
cssquad-instruct4-prompt-mt0
Refer to the passage below and answer the following question: Passage: {{context}} Question: {{question}}
{{lambda answers: answers["text"][0]}}
{ "languages": [ "en", "ar", "de", "es", "hi", "vi", "zh" ], "metrics": [ "squad" ], "preprocessing": null }
[ "en", "ar", "de", "es", "hi", "vi", "zh" ]
[ "squad" ]
qqp
T5
qqp-prompt-t5
qqp question1: {{question1}} question2: {{question2}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy", "f1_invalid" ], "preprocessing": null }
[ "en" ]
[ "accuracy", "f1_invalid" ]
clef2023
mT0
clef2023-checkworthiness-prompt-mt0
checkworthiness claim: {{Text}}
{{lambda class_label: choices[0 if class_label.lower() == "no" else 1]}}
{ "languages": [ "ar", "en", "es" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters" ] }
[ "ar", "en", "es" ]
[ "accuracy", "macro_f1" ]
hover
mT0
hover-factuality-prompt-mt0
factuality claim: {{claim}}
{{lambda label: choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters" ] }
[ "en" ]
[ "accuracy", "macro_f1" ]
fakecovid
mT0
fakecovid-factuality-prompt-mt0
factuality claim: {{source_title}}
{{lambda class: choices[class]}}
{ "languages": [ "es", "en", "fr", "pt", "hi", "de", "it", "zh", "ar", "nl", "ko", "pl", "ru", "ja", "sk" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters" ] }
[ "es", "en", "fr", "pt", "hi", "de", "it", "zh", "ar", "nl", "ko", "pl", "ru", "ja", "sk" ]
[ "accuracy", "macro_f1" ]
ctkfacts
mT0
ctkfacts-factuality-prompt-mt0
factuality claim: {{claim}} evidence: {{evidence}}
{{lambda label: choices[label]}}
{ "languages": [ "cs" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters" ] }
[ "cs" ]
[ "accuracy", "macro_f1" ]
clef2022
mT0
clef2022-checkworthiness-prompt-mt0
checkworthiness claim: {{tweet_text}}
{{lambda class_label: choices[class_label]}}
{ "languages": [ "ar", "bg", "nl", "en", "es", "tr" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters" ] }
[ "ar", "bg", "nl", "en", "es", "tr" ]
[ "accuracy", "macro_f1" ]
nq_open
T5
nq_open-prompt-t5
nq question: {{question}}
{{answer[0]}}
{ "languages": [ "en" ], "metrics": [ "squad" ], "preprocessing": [ "pad_punctuation" ] }
[ "en" ]
[ "squad" ]
xsum
T5
xsum-prompt-t5
summarize: {{document}}
{{target}}
{ "languages": [ "en" ], "metrics": [ "rouge" ], "preprocessing": null }
[ "en" ]
[ "rouge" ]
csfever
mT0
csfever-factuality-prompt-mt0
factuality claim: {{claim}} evidence: {{evidence}}
{{lambda label: choices[label]}}
{ "languages": [ "cs" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters" ] }
[ "cs" ]
[ "accuracy", "macro_f1" ]
cnn_dailymail
T5
cnn_dailymail-prompt-t5
summarize: {{article}}
{{highlights}}
{ "languages": [ "en" ], "metrics": [ "rouge" ], "preprocessing": null }
[ "en" ]
[ "rouge" ]
qnli
T5
qnli-prompt-t5
qnli question: {{question}} sentence: {{sentence}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": null }
[ "en" ]
[ "accuracy" ]
wic
T5
wic-prompt-t5
wic sentence1: {{sentence1}} sentence2: {{sentence2}} word: {{word}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": null }
[ "en" ]
[ "accuracy" ]
race
T5
race-prompt-t5
question: {{question}} context: {{article}} choice0: {{options[0]}} choice1: {{options[1]}} choice2: {{options[2]}} choice3: {{options[3]}}
{{lambda answer: str(ord(answer) - ord("A"))}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": null }
[ "en" ]
[ "accuracy" ]
sst2
T5
sst2-prompt-t5
sst2 sentence: {{sentence}}
{{lambda label: "<unk>" if label == -1 else choices[label]}}
{ "languages": [ "en" ], "metrics": [ "accuracy" ], "preprocessing": [ "pad_punctuation" ] }
[ "en" ]
[ "accuracy" ]
fever
mT0
fever-factuality-prompt-mt0
factuality claim: {{claim}}
{{lambda label: choices[{"SUPPORTS": 0, "REFUTES": 1, "NOT ENOUGH INFO": 2}[label]]}}
{ "languages": [ "en" ], "metrics": [ "accuracy", "macro_f1" ], "preprocessing": [ "remove_urls", "replace_whitecharacters" ] }
[ "en" ]
[ "accuracy", "macro_f1" ]