Delete templates.json
Browse files- templates.json +0 -1063
templates.json
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{
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"train": [
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{
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"dataset": "aeslc",
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"model": "T5",
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"name": "aeslc-prompt-t5",
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"input": "summarize: {{email_body}}",
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"target": "{{subject_line}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"rouge"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"rouge"
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]
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},
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{
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"dataset": "anli",
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"model": "T5",
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"name": "anli-prompt-t5",
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"input": "premise: {{premise}} hypothesis: {{hypothesis}}",
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"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"accuracy"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"accuracy"
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]
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},
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{
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"dataset": "billsum",
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"model": "T5",
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"name": "billsum-prompt-t5",
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"input": "summarize: {{text}}",
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"target": "{{summary}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"rouge"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"rouge"
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]
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},
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{
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"dataset": "boolq",
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"model": "T5",
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"name": "boolq-prompt-t5",
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"input": "boolq question: {{question}} passage: {{passage}}",
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"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"accuracy"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"accuracy"
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]
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},
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{
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"dataset": "c4",
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"model": "T5",
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"name": "c4-prompt-t5",
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"input": "",
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"target": "{{text}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"rouge"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"rouge"
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]
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},
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{
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"dataset": "cb",
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"model": "T5",
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"name": "cb-prompt-t5",
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"input": "cb premise: {{premise}} hypothesis: {{hypothesis}}",
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"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"accuracy",
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"multiclass_f1"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"accuracy",
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"multiclass_f1"
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]
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},
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{
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"dataset": "cnn_dailymail",
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"model": "T5",
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"name": "cnn_dailymail-prompt-t5",
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"input": "summarize: {{article}}",
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"target": "{{highlights}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"rouge"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"rouge"
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]
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},
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{
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"dataset": "cola",
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"model": "T5",
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"name": "cola-prompt-t5",
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"input": "cola sentence: {{sentence}}",
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"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"matthews_corrcoef"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"matthews_corrcoef"
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]
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},
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{
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"dataset": "common_gen",
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"model": "T5",
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"name": "common_gen-prompt-t5",
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"input": "generate: {{lambda concepts: \" \".join(concepts)}}",
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"target": "{{target}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"rouge"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"rouge"
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]
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},
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{
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"dataset": "copa",
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"model": "T5",
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"name": "copa-prompt-t5",
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"input": "copa premise: {{premise}} choice1: {{choice1}} choice2: {{choice2}}",
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"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"accuracy"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"accuracy"
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]
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},
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{
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"dataset": "cosmos_qa",
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"model": "T5",
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"name": "cosmos_qa-prompt-t5",
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"input": "question: {{question}} context: {{context}} choice0: {{answer0}} choice1: {{answer1}} choice2: {{answer2}} choice3: {{answer3}}",
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"target": "{{lambda label: str(label)}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"squad"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"squad"
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]
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},
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{
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"dataset": "cxc",
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"model": "T5",
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"name": "cxc-prompt-t5",
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"input": "sentence1: {{sentence1}} sentence2: {{sentence2}}",
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"target": "{{lambda score: np.round((score * 5) / 5, decimals=1)}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"pearson_corrcoef",
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"spearman_corrcoef"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"pearson_corrcoef",
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"spearman_corrcoef"
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]
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},
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{
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"dataset": "doc_nli",
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"model": "T5",
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"name": "doc_nli-prompt-t5",
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"input": "premise: {{premise}} hypothesis: {{hypothesis}}",
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"target": "{{label}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"accuracy"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"accuracy"
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]
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},
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{
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"dataset": "drop",
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"model": "T5",
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"name": "drop-prompt-t5",
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"input": "question: {{question}} context: {{passage}}",
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"target": "{{answers_spans[\"spans\"][0]}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"squad"
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],
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"preprocessing": [
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"pad_punctuation"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"squad"
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]
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},
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{
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"dataset": "gigaword",
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"model": "T5",
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"name": "gigaword-prompt-t5",
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"input": "summarize: {{document}}",
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"target": "{{summary}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"rouge"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"rouge"
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]
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},
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{
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"dataset": "hellaswag",
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"model": "T5",
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"name": "hellaswag-prompt-t5",
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"input": "context: {{ctx}} ending0: {{endings[0]}} ending1: {{endings[1]}} ending2: {{endings[2]}} ending3: {{endings[3]}}",
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"target": "{{lambda label: str(label)}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"accuracy"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"accuracy"
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]
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},
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{
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"dataset": "hotpot_qa",
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"model": "T5",
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"name": "hotpot_qa-prompt-t5",
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"input": "question: {{question}} context: {{\"\".join(context[\"sentences\"][0])}}",
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"target": "{{answer}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"squad"
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],
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"preprocessing": [
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"pad_punctuation"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"squad"
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]
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},
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{
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"dataset": "mnli",
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"model": "T5",
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"name": "mnli-prompt-t5",
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"input": "mnli premise: {{premise}} hypothesis: {{hypothesis}}",
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"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"accuracy"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"accuracy"
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]
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},
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{
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"dataset": "mrpc",
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"model": "T5",
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"name": "mrpc-prompt-t5",
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"input": "mrpc sentence1: {{sentence1}} sentence2: {{sentence2}}",
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"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"accuracy",
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"f1_invalid"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"accuracy",
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"f1_invalid"
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]
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},
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{
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"dataset": "mrqa",
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"model": "T5",
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"name": "mrqa-prompt-t5",
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"input": "question: {{question}} context: {{context}}",
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"target": "{{answers[0]}}",
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"metadata": {
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"languages": [
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"en"
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],
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"metrics": [
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"squad"
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],
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"preprocessing": [
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"pad_punctuation"
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]
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},
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"languages": [
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"en"
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],
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"metrics": [
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"squad"
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]
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},
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{
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"dataset": "multirc",
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"model": "T5",
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"name": "multirc-prompt-t5",
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"input": "multirc question: {{question}} answer: {{answer}} paragraph: {{paragraph}}",
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"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
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"metadata": {
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"languages": [
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"en"
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],
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| 448 |
-
"metrics": [
|
| 449 |
-
"exact_match",
|
| 450 |
-
"multirc_f1"
|
| 451 |
-
],
|
| 452 |
-
"preprocessing": [
|
| 453 |
-
"remove_markup"
|
| 454 |
-
]
|
| 455 |
-
},
|
| 456 |
-
"languages": [
|
| 457 |
-
"en"
|
| 458 |
-
],
|
| 459 |
-
"metrics": [
|
| 460 |
-
"exact_match",
|
| 461 |
-
"multirc_f1"
|
| 462 |
-
]
|
| 463 |
-
},
|
| 464 |
-
{
|
| 465 |
-
"dataset": "multi_news",
|
| 466 |
-
"model": "T5",
|
| 467 |
-
"name": "multi_news-prompt-t5",
|
| 468 |
-
"input": "summarize: {{document}}",
|
| 469 |
-
"target": "{{summary}}",
|
| 470 |
-
"metadata": {
|
| 471 |
-
"languages": [
|
| 472 |
-
"en"
|
| 473 |
-
],
|
| 474 |
-
"metrics": [
|
| 475 |
-
"rouge"
|
| 476 |
-
]
|
| 477 |
-
},
|
| 478 |
-
"languages": [
|
| 479 |
-
"en"
|
| 480 |
-
],
|
| 481 |
-
"metrics": [
|
| 482 |
-
"rouge"
|
| 483 |
-
]
|
| 484 |
-
},
|
| 485 |
-
{
|
| 486 |
-
"dataset": "multi_nli",
|
| 487 |
-
"model": "T5",
|
| 488 |
-
"name": "multi_nli-prompt-t5",
|
| 489 |
-
"input": "premise: {{premise}} hypothesis: {{hypothesis}}",
|
| 490 |
-
"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 491 |
-
"metadata": {
|
| 492 |
-
"languages": [
|
| 493 |
-
"en"
|
| 494 |
-
],
|
| 495 |
-
"metrics": [
|
| 496 |
-
"accuracy"
|
| 497 |
-
]
|
| 498 |
-
},
|
| 499 |
-
"languages": [
|
| 500 |
-
"en"
|
| 501 |
-
],
|
| 502 |
-
"metrics": [
|
| 503 |
-
"accuracy"
|
| 504 |
-
]
|
| 505 |
-
},
|
| 506 |
-
{
|
| 507 |
-
"dataset": "newsqa",
|
| 508 |
-
"model": "T5",
|
| 509 |
-
"name": "newsqa-prompt-t5",
|
| 510 |
-
"input": "question: {{question}} context: {{context}}",
|
| 511 |
-
"target": "{{answer[0]}}",
|
| 512 |
-
"metadata": {
|
| 513 |
-
"languages": [
|
| 514 |
-
"en"
|
| 515 |
-
],
|
| 516 |
-
"metrics": [
|
| 517 |
-
"rouge"
|
| 518 |
-
],
|
| 519 |
-
"preprocessing": [
|
| 520 |
-
"pad_punctuation"
|
| 521 |
-
]
|
| 522 |
-
},
|
| 523 |
-
"languages": [
|
| 524 |
-
"en"
|
| 525 |
-
],
|
| 526 |
-
"metrics": [
|
| 527 |
-
"rouge"
|
| 528 |
-
]
|
| 529 |
-
},
|
| 530 |
-
{
|
| 531 |
-
"dataset": "newsqa",
|
| 532 |
-
"model": "T5",
|
| 533 |
-
"name": "newsqa-prompt-t5-without-context",
|
| 534 |
-
"input": "question: {{question}}",
|
| 535 |
-
"target": "{{answer[0]}}",
|
| 536 |
-
"metadata": {
|
| 537 |
-
"languages": [
|
| 538 |
-
"en"
|
| 539 |
-
],
|
| 540 |
-
"metrics": [
|
| 541 |
-
"rouge"
|
| 542 |
-
],
|
| 543 |
-
"preprocessing": [
|
| 544 |
-
"pad_punctuation"
|
| 545 |
-
]
|
| 546 |
-
},
|
| 547 |
-
"languages": [
|
| 548 |
-
"en"
|
| 549 |
-
],
|
| 550 |
-
"metrics": [
|
| 551 |
-
"rouge"
|
| 552 |
-
]
|
| 553 |
-
},
|
| 554 |
-
{
|
| 555 |
-
"dataset": "newsroom",
|
| 556 |
-
"model": "T5",
|
| 557 |
-
"name": "newsroom-prompt-t5",
|
| 558 |
-
"input": "summarize: {{text}}",
|
| 559 |
-
"target": "{{summary}}",
|
| 560 |
-
"metadata": {
|
| 561 |
-
"languages": [
|
| 562 |
-
"en"
|
| 563 |
-
],
|
| 564 |
-
"metrics": [
|
| 565 |
-
"rouge"
|
| 566 |
-
]
|
| 567 |
-
},
|
| 568 |
-
"languages": [
|
| 569 |
-
"en"
|
| 570 |
-
],
|
| 571 |
-
"metrics": [
|
| 572 |
-
"rouge"
|
| 573 |
-
]
|
| 574 |
-
},
|
| 575 |
-
{
|
| 576 |
-
"dataset": "nq_open",
|
| 577 |
-
"model": "T5",
|
| 578 |
-
"name": "nq_open-prompt-t5",
|
| 579 |
-
"input": "nq question: {{question}}",
|
| 580 |
-
"target": "{{answer[0]}}",
|
| 581 |
-
"metadata": {
|
| 582 |
-
"languages": [
|
| 583 |
-
"en"
|
| 584 |
-
],
|
| 585 |
-
"metrics": [
|
| 586 |
-
"squad"
|
| 587 |
-
],
|
| 588 |
-
"preprocessing": [
|
| 589 |
-
"pad_punctuation"
|
| 590 |
-
]
|
| 591 |
-
},
|
| 592 |
-
"languages": [
|
| 593 |
-
"en"
|
| 594 |
-
],
|
| 595 |
-
"metrics": [
|
| 596 |
-
"squad"
|
| 597 |
-
]
|
| 598 |
-
},
|
| 599 |
-
{
|
| 600 |
-
"dataset": "piqa",
|
| 601 |
-
"model": "T5",
|
| 602 |
-
"name": "piqa-prompt-t5",
|
| 603 |
-
"input": "question: {{goal}} choice1: {{sol1}} choice2: {{sol2}}",
|
| 604 |
-
"target": "{{lambda label: str(label)}}",
|
| 605 |
-
"metadata": {
|
| 606 |
-
"languages": [
|
| 607 |
-
"en"
|
| 608 |
-
],
|
| 609 |
-
"metrics": [
|
| 610 |
-
"accuracy"
|
| 611 |
-
]
|
| 612 |
-
},
|
| 613 |
-
"languages": [
|
| 614 |
-
"en"
|
| 615 |
-
],
|
| 616 |
-
"metrics": [
|
| 617 |
-
"accuracy"
|
| 618 |
-
]
|
| 619 |
-
},
|
| 620 |
-
{
|
| 621 |
-
"dataset": "qnli",
|
| 622 |
-
"model": "T5",
|
| 623 |
-
"name": "qnli-prompt-t5",
|
| 624 |
-
"input": "qnli question: {{question}} sentence: {{sentence}}",
|
| 625 |
-
"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 626 |
-
"metadata": {
|
| 627 |
-
"languages": [
|
| 628 |
-
"en"
|
| 629 |
-
],
|
| 630 |
-
"metrics": [
|
| 631 |
-
"accuracy"
|
| 632 |
-
]
|
| 633 |
-
},
|
| 634 |
-
"languages": [
|
| 635 |
-
"en"
|
| 636 |
-
],
|
| 637 |
-
"metrics": [
|
| 638 |
-
"accuracy"
|
| 639 |
-
]
|
| 640 |
-
},
|
| 641 |
-
{
|
| 642 |
-
"dataset": "qqp",
|
| 643 |
-
"model": "T5",
|
| 644 |
-
"name": "qqp-prompt-t5",
|
| 645 |
-
"input": "qqp question1: {{question1}} question2: {{question2}}",
|
| 646 |
-
"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 647 |
-
"metadata": {
|
| 648 |
-
"languages": [
|
| 649 |
-
"en"
|
| 650 |
-
],
|
| 651 |
-
"metrics": [
|
| 652 |
-
"accuracy",
|
| 653 |
-
"f1_invalid"
|
| 654 |
-
]
|
| 655 |
-
},
|
| 656 |
-
"languages": [
|
| 657 |
-
"en"
|
| 658 |
-
],
|
| 659 |
-
"metrics": [
|
| 660 |
-
"accuracy",
|
| 661 |
-
"f1_invalid"
|
| 662 |
-
]
|
| 663 |
-
},
|
| 664 |
-
{
|
| 665 |
-
"dataset": "race",
|
| 666 |
-
"model": "T5",
|
| 667 |
-
"name": "race-prompt-t5",
|
| 668 |
-
"input": "question: {{question}} context: {{article}} choice0: {{options[0]}} choice1: {{options[1]}} choice2: {{options[2]}} choice3: {{options[3]}}",
|
| 669 |
-
"target": "{{lambda answer: str(ord(answer) - ord(\"A\"))}}",
|
| 670 |
-
"metadata": {
|
| 671 |
-
"languages": [
|
| 672 |
-
"en"
|
| 673 |
-
],
|
| 674 |
-
"metrics": [
|
| 675 |
-
"accuracy"
|
| 676 |
-
]
|
| 677 |
-
},
|
| 678 |
-
"languages": [
|
| 679 |
-
"en"
|
| 680 |
-
],
|
| 681 |
-
"metrics": [
|
| 682 |
-
"accuracy"
|
| 683 |
-
]
|
| 684 |
-
},
|
| 685 |
-
{
|
| 686 |
-
"dataset": "record",
|
| 687 |
-
"model": "T5",
|
| 688 |
-
"name": "record-prompt-t5",
|
| 689 |
-
"input": "record query: {{query}} entities: {{\", \".join(entities)}} passage: {{passage}}",
|
| 690 |
-
"target": "{{answers[0]}}",
|
| 691 |
-
"metadata": {
|
| 692 |
-
"languages": [
|
| 693 |
-
"en"
|
| 694 |
-
],
|
| 695 |
-
"metrics": [
|
| 696 |
-
"squad"
|
| 697 |
-
],
|
| 698 |
-
"preprocessing": [
|
| 699 |
-
"record_preprocess"
|
| 700 |
-
]
|
| 701 |
-
},
|
| 702 |
-
"languages": [
|
| 703 |
-
"en"
|
| 704 |
-
],
|
| 705 |
-
"metrics": [
|
| 706 |
-
"squad"
|
| 707 |
-
]
|
| 708 |
-
},
|
| 709 |
-
{
|
| 710 |
-
"dataset": "rte",
|
| 711 |
-
"model": "T5",
|
| 712 |
-
"name": "rte-prompt-t5",
|
| 713 |
-
"input": "rte sentence1: {{sentence1}} sentence2: {{sentence2}}",
|
| 714 |
-
"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 715 |
-
"metadata": {
|
| 716 |
-
"languages": [
|
| 717 |
-
"en"
|
| 718 |
-
],
|
| 719 |
-
"metrics": [
|
| 720 |
-
"accuracy"
|
| 721 |
-
]
|
| 722 |
-
},
|
| 723 |
-
"languages": [
|
| 724 |
-
"en"
|
| 725 |
-
],
|
| 726 |
-
"metrics": [
|
| 727 |
-
"accuracy"
|
| 728 |
-
]
|
| 729 |
-
},
|
| 730 |
-
{
|
| 731 |
-
"dataset": "samsum",
|
| 732 |
-
"model": "T5",
|
| 733 |
-
"name": "samsum-prompt-t5",
|
| 734 |
-
"input": "summarize: {{dialogue}}",
|
| 735 |
-
"target": "{{summary}}",
|
| 736 |
-
"metadata": {
|
| 737 |
-
"languages": [
|
| 738 |
-
"en"
|
| 739 |
-
],
|
| 740 |
-
"metrics": [
|
| 741 |
-
"rouge"
|
| 742 |
-
]
|
| 743 |
-
},
|
| 744 |
-
"languages": [
|
| 745 |
-
"en"
|
| 746 |
-
],
|
| 747 |
-
"metrics": [
|
| 748 |
-
"rouge"
|
| 749 |
-
]
|
| 750 |
-
},
|
| 751 |
-
{
|
| 752 |
-
"dataset": "search_qa",
|
| 753 |
-
"model": "T5",
|
| 754 |
-
"name": "search_qa-prompt-t5",
|
| 755 |
-
"input": "question: {{question}}",
|
| 756 |
-
"target": "{{answer}}",
|
| 757 |
-
"metadata": {
|
| 758 |
-
"languages": [
|
| 759 |
-
"en"
|
| 760 |
-
],
|
| 761 |
-
"metrics": [
|
| 762 |
-
"squad"
|
| 763 |
-
],
|
| 764 |
-
"preprocessing": [
|
| 765 |
-
"pad_punctuation"
|
| 766 |
-
]
|
| 767 |
-
},
|
| 768 |
-
"languages": [
|
| 769 |
-
"en"
|
| 770 |
-
],
|
| 771 |
-
"metrics": [
|
| 772 |
-
"squad"
|
| 773 |
-
]
|
| 774 |
-
},
|
| 775 |
-
{
|
| 776 |
-
"dataset": "snli",
|
| 777 |
-
"model": "T5",
|
| 778 |
-
"name": "snli-prompt-t5",
|
| 779 |
-
"input": "premise: {{premise}} hypothesis: {{hypothesis}}",
|
| 780 |
-
"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 781 |
-
"metadata": {
|
| 782 |
-
"languages": [
|
| 783 |
-
"en"
|
| 784 |
-
],
|
| 785 |
-
"metrics": [
|
| 786 |
-
"accuracy"
|
| 787 |
-
]
|
| 788 |
-
},
|
| 789 |
-
"languages": [
|
| 790 |
-
"en"
|
| 791 |
-
],
|
| 792 |
-
"metrics": [
|
| 793 |
-
"accuracy"
|
| 794 |
-
]
|
| 795 |
-
},
|
| 796 |
-
{
|
| 797 |
-
"dataset": "social_i_qa",
|
| 798 |
-
"model": "T5",
|
| 799 |
-
"name": "social_i_qa-prompt-t5",
|
| 800 |
-
"input": "question: {{question}} context: {{context}} || choice0: {{answerA}} || choice1: {{answerB}} || choice2: {{answerC}}",
|
| 801 |
-
"target": "{{lambda label: str(int(label) - 1)}}",
|
| 802 |
-
"metadata": {
|
| 803 |
-
"languages": [
|
| 804 |
-
"en"
|
| 805 |
-
],
|
| 806 |
-
"metrics": [
|
| 807 |
-
"accuracy"
|
| 808 |
-
]
|
| 809 |
-
},
|
| 810 |
-
"languages": [
|
| 811 |
-
"en"
|
| 812 |
-
],
|
| 813 |
-
"metrics": [
|
| 814 |
-
"accuracy"
|
| 815 |
-
]
|
| 816 |
-
},
|
| 817 |
-
{
|
| 818 |
-
"dataset": "squad",
|
| 819 |
-
"model": "T5",
|
| 820 |
-
"name": "squad-prompt-t5",
|
| 821 |
-
"input": "question: {{question}} context: {{context}}",
|
| 822 |
-
"target": "{{answers[\"text\"][0]}}",
|
| 823 |
-
"metadata": {
|
| 824 |
-
"languages": [
|
| 825 |
-
"en"
|
| 826 |
-
],
|
| 827 |
-
"metrics": [
|
| 828 |
-
"squad"
|
| 829 |
-
],
|
| 830 |
-
"preprocessing": [
|
| 831 |
-
"pad_punctuation"
|
| 832 |
-
]
|
| 833 |
-
},
|
| 834 |
-
"languages": [
|
| 835 |
-
"en"
|
| 836 |
-
],
|
| 837 |
-
"metrics": [
|
| 838 |
-
"squad"
|
| 839 |
-
]
|
| 840 |
-
},
|
| 841 |
-
{
|
| 842 |
-
"dataset": "squad",
|
| 843 |
-
"model": "T5",
|
| 844 |
-
"name": "squad-prompt-trivia-t5",
|
| 845 |
-
"input": "squad trivia question: {{question}}",
|
| 846 |
-
"target": "{{answers[\"text\"][0]}}",
|
| 847 |
-
"metadata": {
|
| 848 |
-
"languages": [
|
| 849 |
-
"en"
|
| 850 |
-
],
|
| 851 |
-
"metrics": [
|
| 852 |
-
"squad"
|
| 853 |
-
],
|
| 854 |
-
"preprocessing": [
|
| 855 |
-
"pad_punctuation"
|
| 856 |
-
]
|
| 857 |
-
},
|
| 858 |
-
"languages": [
|
| 859 |
-
"en"
|
| 860 |
-
],
|
| 861 |
-
"metrics": [
|
| 862 |
-
"squad"
|
| 863 |
-
]
|
| 864 |
-
},
|
| 865 |
-
{
|
| 866 |
-
"dataset": "sst2",
|
| 867 |
-
"model": "T5",
|
| 868 |
-
"name": "sst2-prompt-t5",
|
| 869 |
-
"input": "sst2 sentence: {{sentence}}",
|
| 870 |
-
"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 871 |
-
"metadata": {
|
| 872 |
-
"languages": [
|
| 873 |
-
"en"
|
| 874 |
-
],
|
| 875 |
-
"metrics": [
|
| 876 |
-
"accuracy"
|
| 877 |
-
],
|
| 878 |
-
"preprocessing": [
|
| 879 |
-
"pad_punctuation"
|
| 880 |
-
]
|
| 881 |
-
},
|
| 882 |
-
"languages": [
|
| 883 |
-
"en"
|
| 884 |
-
],
|
| 885 |
-
"metrics": [
|
| 886 |
-
"accuracy"
|
| 887 |
-
]
|
| 888 |
-
},
|
| 889 |
-
{
|
| 890 |
-
"dataset": "stsb",
|
| 891 |
-
"model": "T5",
|
| 892 |
-
"name": "stsb-prompt-t5",
|
| 893 |
-
"input": "stsb sentence1: {{sentence1}} sentence2: {{sentence2}}",
|
| 894 |
-
"target": "{{lambda label: np.round((label * 5) / 5, decimals=1)}}",
|
| 895 |
-
"metadata": {
|
| 896 |
-
"languages": [
|
| 897 |
-
"en"
|
| 898 |
-
],
|
| 899 |
-
"metrics": [
|
| 900 |
-
"pearson_corrcoef",
|
| 901 |
-
"spearman_corrcoef"
|
| 902 |
-
]
|
| 903 |
-
},
|
| 904 |
-
"languages": [
|
| 905 |
-
"en"
|
| 906 |
-
],
|
| 907 |
-
"metrics": [
|
| 908 |
-
"pearson_corrcoef",
|
| 909 |
-
"spearman_corrcoef"
|
| 910 |
-
]
|
| 911 |
-
},
|
| 912 |
-
{
|
| 913 |
-
"dataset": "wic",
|
| 914 |
-
"model": "T5",
|
| 915 |
-
"name": "wic-prompt-t5",
|
| 916 |
-
"input": "wic sentence1: {{sentence1}} sentence2: {{sentence2}} word: {{word}}",
|
| 917 |
-
"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 918 |
-
"metadata": {
|
| 919 |
-
"languages": [
|
| 920 |
-
"en"
|
| 921 |
-
],
|
| 922 |
-
"metrics": [
|
| 923 |
-
"accuracy"
|
| 924 |
-
]
|
| 925 |
-
},
|
| 926 |
-
"languages": [
|
| 927 |
-
"en"
|
| 928 |
-
],
|
| 929 |
-
"metrics": [
|
| 930 |
-
"accuracy"
|
| 931 |
-
]
|
| 932 |
-
},
|
| 933 |
-
{
|
| 934 |
-
"dataset": "wiki_auto",
|
| 935 |
-
"model": "T5",
|
| 936 |
-
"name": "wiki_auto-prompt-t5",
|
| 937 |
-
"input": "{{source}}",
|
| 938 |
-
"target": "{{target}}",
|
| 939 |
-
"metadata": {
|
| 940 |
-
"languages": [
|
| 941 |
-
"en"
|
| 942 |
-
],
|
| 943 |
-
"metrics": [
|
| 944 |
-
"bleu"
|
| 945 |
-
]
|
| 946 |
-
},
|
| 947 |
-
"languages": [
|
| 948 |
-
"en"
|
| 949 |
-
],
|
| 950 |
-
"metrics": [
|
| 951 |
-
"bleu"
|
| 952 |
-
]
|
| 953 |
-
},
|
| 954 |
-
{
|
| 955 |
-
"dataset": "wiki_lingua",
|
| 956 |
-
"model": "T5",
|
| 957 |
-
"name": "wiki_lingua-prompt-t5",
|
| 958 |
-
"input": "{{source_aligned[\"en\"]}}",
|
| 959 |
-
"target": "{{target_aligned[\"en\"]}}",
|
| 960 |
-
"metadata": {
|
| 961 |
-
"languages": [
|
| 962 |
-
"en"
|
| 963 |
-
],
|
| 964 |
-
"metrics": [
|
| 965 |
-
"rouge"
|
| 966 |
-
]
|
| 967 |
-
},
|
| 968 |
-
"languages": [
|
| 969 |
-
"en"
|
| 970 |
-
],
|
| 971 |
-
"metrics": [
|
| 972 |
-
"rouge"
|
| 973 |
-
]
|
| 974 |
-
},
|
| 975 |
-
{
|
| 976 |
-
"dataset": "winogrande",
|
| 977 |
-
"model": "T5",
|
| 978 |
-
"name": "winogrande-prompt-t5",
|
| 979 |
-
"input": "sentence: {{sentence}} option0: {{option1}} option1: {{option2}}",
|
| 980 |
-
"target": "{{lambda answer: str(int(answer) - 1)}}",
|
| 981 |
-
"metadata": {
|
| 982 |
-
"languages": [
|
| 983 |
-
"en"
|
| 984 |
-
],
|
| 985 |
-
"metrics": [
|
| 986 |
-
"accuracy"
|
| 987 |
-
]
|
| 988 |
-
},
|
| 989 |
-
"languages": [
|
| 990 |
-
"en"
|
| 991 |
-
],
|
| 992 |
-
"metrics": [
|
| 993 |
-
"accuracy"
|
| 994 |
-
]
|
| 995 |
-
},
|
| 996 |
-
{
|
| 997 |
-
"dataset": "wnli",
|
| 998 |
-
"model": "T5",
|
| 999 |
-
"name": "wnli-prompt-t5",
|
| 1000 |
-
"input": "wnli sentence1: {{sentence1}} sentence2: {{sentence2}}",
|
| 1001 |
-
"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 1002 |
-
"metadata": {
|
| 1003 |
-
"languages": [
|
| 1004 |
-
"en"
|
| 1005 |
-
],
|
| 1006 |
-
"metrics": [
|
| 1007 |
-
"accuracy"
|
| 1008 |
-
]
|
| 1009 |
-
},
|
| 1010 |
-
"languages": [
|
| 1011 |
-
"en"
|
| 1012 |
-
],
|
| 1013 |
-
"metrics": [
|
| 1014 |
-
"accuracy"
|
| 1015 |
-
]
|
| 1016 |
-
},
|
| 1017 |
-
{
|
| 1018 |
-
"dataset": "wsc",
|
| 1019 |
-
"model": "T5",
|
| 1020 |
-
"name": "wsc-prompt-t5",
|
| 1021 |
-
"input": "wsc text: {{text}}",
|
| 1022 |
-
"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 1023 |
-
"metadata": {
|
| 1024 |
-
"languages": [
|
| 1025 |
-
"en"
|
| 1026 |
-
],
|
| 1027 |
-
"metrics": [
|
| 1028 |
-
"accuracy"
|
| 1029 |
-
],
|
| 1030 |
-
"preprocessing": [
|
| 1031 |
-
"wsc_preprocess"
|
| 1032 |
-
]
|
| 1033 |
-
},
|
| 1034 |
-
"languages": [
|
| 1035 |
-
"en"
|
| 1036 |
-
],
|
| 1037 |
-
"metrics": [
|
| 1038 |
-
"accuracy"
|
| 1039 |
-
]
|
| 1040 |
-
},
|
| 1041 |
-
{
|
| 1042 |
-
"dataset": "xsum",
|
| 1043 |
-
"model": "T5",
|
| 1044 |
-
"name": "xsum-prompt-t5",
|
| 1045 |
-
"input": "summarize: {{document}}",
|
| 1046 |
-
"target": "{{target}}",
|
| 1047 |
-
"metadata": {
|
| 1048 |
-
"languages": [
|
| 1049 |
-
"en"
|
| 1050 |
-
],
|
| 1051 |
-
"metrics": [
|
| 1052 |
-
"rouge"
|
| 1053 |
-
]
|
| 1054 |
-
},
|
| 1055 |
-
"languages": [
|
| 1056 |
-
"en"
|
| 1057 |
-
],
|
| 1058 |
-
"metrics": [
|
| 1059 |
-
"rouge"
|
| 1060 |
-
]
|
| 1061 |
-
}
|
| 1062 |
-
]
|
| 1063 |
-
}
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