Upload templates.json
Browse files- templates.json +1063 -0
templates.json
ADDED
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@@ -0,0 +1,1063 @@
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|
| 1 |
+
{
|
| 2 |
+
"train": [
|
| 3 |
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{
|
| 4 |
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"dataset": "aeslc",
|
| 5 |
+
"model": "T5",
|
| 6 |
+
"name": "aeslc-prompt-t5",
|
| 7 |
+
"input": "summarize: {{email_body}}",
|
| 8 |
+
"target": "{{subject_line}}",
|
| 9 |
+
"metadata": {
|
| 10 |
+
"languages": [
|
| 11 |
+
"en"
|
| 12 |
+
],
|
| 13 |
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"metrics": [
|
| 14 |
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"rouge"
|
| 15 |
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|
| 16 |
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| 17 |
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|
| 18 |
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"en"
|
| 19 |
+
],
|
| 20 |
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"metrics": [
|
| 21 |
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"rouge"
|
| 22 |
+
]
|
| 23 |
+
},
|
| 24 |
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{
|
| 25 |
+
"dataset": "anli",
|
| 26 |
+
"model": "T5",
|
| 27 |
+
"name": "anli-prompt-t5",
|
| 28 |
+
"input": "premise: {{premise}} hypothesis: {{hypothesis}}",
|
| 29 |
+
"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 30 |
+
"metadata": {
|
| 31 |
+
"languages": [
|
| 32 |
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"en"
|
| 33 |
+
],
|
| 34 |
+
"metrics": [
|
| 35 |
+
"accuracy"
|
| 36 |
+
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|
| 37 |
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|
| 38 |
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"languages": [
|
| 39 |
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"en"
|
| 40 |
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],
|
| 41 |
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"metrics": [
|
| 42 |
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"accuracy"
|
| 43 |
+
]
|
| 44 |
+
},
|
| 45 |
+
{
|
| 46 |
+
"dataset": "billsum",
|
| 47 |
+
"model": "T5",
|
| 48 |
+
"name": "billsum-prompt-t5",
|
| 49 |
+
"input": "summarize: {{text}}",
|
| 50 |
+
"target": "{{summary}}",
|
| 51 |
+
"metadata": {
|
| 52 |
+
"languages": [
|
| 53 |
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"en"
|
| 54 |
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],
|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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| 60 |
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|
| 61 |
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],
|
| 62 |
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|
| 63 |
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"rouge"
|
| 64 |
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]
|
| 65 |
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|
| 66 |
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{
|
| 67 |
+
"dataset": "boolq",
|
| 68 |
+
"model": "T5",
|
| 69 |
+
"name": "boolq-prompt-t5",
|
| 70 |
+
"input": "boolq question: {{question}} passage: {{passage}}",
|
| 71 |
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"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 72 |
+
"metadata": {
|
| 73 |
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|
| 74 |
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|
| 75 |
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],
|
| 76 |
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|
| 77 |
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"accuracy"
|
| 78 |
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]
|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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],
|
| 83 |
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|
| 84 |
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"accuracy"
|
| 85 |
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]
|
| 86 |
+
},
|
| 87 |
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{
|
| 88 |
+
"dataset": "c4",
|
| 89 |
+
"model": "T5",
|
| 90 |
+
"name": "c4-prompt-t5",
|
| 91 |
+
"input": "",
|
| 92 |
+
"target": "{{text}}",
|
| 93 |
+
"metadata": {
|
| 94 |
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|
| 95 |
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|
| 96 |
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],
|
| 97 |
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|
| 98 |
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|
| 99 |
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]
|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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],
|
| 104 |
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|
| 105 |
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|
| 106 |
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]
|
| 107 |
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},
|
| 108 |
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{
|
| 109 |
+
"dataset": "cb",
|
| 110 |
+
"model": "T5",
|
| 111 |
+
"name": "cb-prompt-t5",
|
| 112 |
+
"input": "cb premise: {{premise}} hypothesis: {{hypothesis}}",
|
| 113 |
+
"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 114 |
+
"metadata": {
|
| 115 |
+
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|
| 116 |
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|
| 117 |
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],
|
| 118 |
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|
| 119 |
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"accuracy",
|
| 120 |
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|
| 121 |
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]
|
| 122 |
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},
|
| 123 |
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|
| 124 |
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|
| 125 |
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],
|
| 126 |
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|
| 127 |
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"accuracy",
|
| 128 |
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|
| 129 |
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]
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"dataset": "cnn_dailymail",
|
| 133 |
+
"model": "T5",
|
| 134 |
+
"name": "cnn_dailymail-prompt-t5",
|
| 135 |
+
"input": "summarize: {{article}}",
|
| 136 |
+
"target": "{{highlights}}",
|
| 137 |
+
"metadata": {
|
| 138 |
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|
| 139 |
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|
| 140 |
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],
|
| 141 |
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| 142 |
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|
| 143 |
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]
|
| 144 |
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|
| 145 |
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|
| 146 |
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"en"
|
| 147 |
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],
|
| 148 |
+
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|
| 149 |
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"rouge"
|
| 150 |
+
]
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"dataset": "cola",
|
| 154 |
+
"model": "T5",
|
| 155 |
+
"name": "cola-prompt-t5",
|
| 156 |
+
"input": "cola sentence: {{sentence}}",
|
| 157 |
+
"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 158 |
+
"metadata": {
|
| 159 |
+
"languages": [
|
| 160 |
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"en"
|
| 161 |
+
],
|
| 162 |
+
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|
| 163 |
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"matthews_corrcoef"
|
| 164 |
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]
|
| 165 |
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|
| 166 |
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|
| 167 |
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"en"
|
| 168 |
+
],
|
| 169 |
+
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|
| 170 |
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"matthews_corrcoef"
|
| 171 |
+
]
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"dataset": "common_gen",
|
| 175 |
+
"model": "T5",
|
| 176 |
+
"name": "common_gen-prompt-t5",
|
| 177 |
+
"input": "generate: {{lambda concepts: \" \".join(concepts)}}",
|
| 178 |
+
"target": "{{target}}",
|
| 179 |
+
"metadata": {
|
| 180 |
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|
| 181 |
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"en"
|
| 182 |
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],
|
| 183 |
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|
| 184 |
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|
| 185 |
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]
|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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],
|
| 190 |
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|
| 191 |
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"rouge"
|
| 192 |
+
]
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"dataset": "copa",
|
| 196 |
+
"model": "T5",
|
| 197 |
+
"name": "copa-prompt-t5",
|
| 198 |
+
"input": "copa premise: {{premise}} choice1: {{choice1}} choice2: {{choice2}}",
|
| 199 |
+
"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 200 |
+
"metadata": {
|
| 201 |
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|
| 202 |
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|
| 203 |
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],
|
| 204 |
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|
| 205 |
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"accuracy"
|
| 206 |
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]
|
| 207 |
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},
|
| 208 |
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|
| 209 |
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|
| 210 |
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],
|
| 211 |
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|
| 212 |
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"accuracy"
|
| 213 |
+
]
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"dataset": "cosmos_qa",
|
| 217 |
+
"model": "T5",
|
| 218 |
+
"name": "cosmos_qa-prompt-t5",
|
| 219 |
+
"input": "question: {{question}} context: {{context}} choice0: {{answer0}} choice1: {{answer1}} choice2: {{answer2}} choice3: {{answer3}}",
|
| 220 |
+
"target": "{{lambda label: str(label)}}",
|
| 221 |
+
"metadata": {
|
| 222 |
+
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|
| 223 |
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"en"
|
| 224 |
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],
|
| 225 |
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|
| 226 |
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"squad"
|
| 227 |
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]
|
| 228 |
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},
|
| 229 |
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|
| 230 |
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"en"
|
| 231 |
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],
|
| 232 |
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|
| 233 |
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"squad"
|
| 234 |
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]
|
| 235 |
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},
|
| 236 |
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{
|
| 237 |
+
"dataset": "cxc",
|
| 238 |
+
"model": "T5",
|
| 239 |
+
"name": "cxc-prompt-t5",
|
| 240 |
+
"input": "sentence1: {{sentence1}} sentence2: {{sentence2}}",
|
| 241 |
+
"target": "{{lambda score: np.round((score * 5) / 5, decimals=1)}}",
|
| 242 |
+
"metadata": {
|
| 243 |
+
"languages": [
|
| 244 |
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"en"
|
| 245 |
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],
|
| 246 |
+
"metrics": [
|
| 247 |
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"pearson_corrcoef",
|
| 248 |
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"spearman_corrcoef"
|
| 249 |
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]
|
| 250 |
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},
|
| 251 |
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|
| 252 |
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"en"
|
| 253 |
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],
|
| 254 |
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|
| 255 |
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"pearson_corrcoef",
|
| 256 |
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"spearman_corrcoef"
|
| 257 |
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]
|
| 258 |
+
},
|
| 259 |
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{
|
| 260 |
+
"dataset": "doc_nli",
|
| 261 |
+
"model": "T5",
|
| 262 |
+
"name": "doc_nli-prompt-t5",
|
| 263 |
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"input": "premise: {{premise}} hypothesis: {{hypothesis}}",
|
| 264 |
+
"target": "{{label}}",
|
| 265 |
+
"metadata": {
|
| 266 |
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|
| 267 |
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"en"
|
| 268 |
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],
|
| 269 |
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|
| 270 |
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"accuracy"
|
| 271 |
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]
|
| 272 |
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},
|
| 273 |
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|
| 274 |
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|
| 275 |
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],
|
| 276 |
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|
| 277 |
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"accuracy"
|
| 278 |
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]
|
| 279 |
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},
|
| 280 |
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{
|
| 281 |
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"dataset": "drop",
|
| 282 |
+
"model": "T5",
|
| 283 |
+
"name": "drop-prompt-t5",
|
| 284 |
+
"input": "question: {{question}} context: {{passage}}",
|
| 285 |
+
"target": "{{answers_spans[\"spans\"][0]}}",
|
| 286 |
+
"metadata": {
|
| 287 |
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|
| 288 |
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|
| 289 |
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],
|
| 290 |
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|
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|
| 293 |
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|
| 294 |
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|
| 295 |
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|
| 296 |
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|
| 297 |
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|
| 299 |
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],
|
| 300 |
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|
| 302 |
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|
| 303 |
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|
| 304 |
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{
|
| 305 |
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"dataset": "gigaword",
|
| 306 |
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"model": "T5",
|
| 307 |
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"name": "gigaword-prompt-t5",
|
| 308 |
+
"input": "summarize: {{document}}",
|
| 309 |
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"target": "{{summary}}",
|
| 310 |
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|
| 311 |
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| 312 |
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|
| 313 |
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],
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| 314 |
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|
| 317 |
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|
| 320 |
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| 321 |
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|
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|
| 324 |
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|
| 325 |
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{
|
| 326 |
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|
| 327 |
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"model": "T5",
|
| 328 |
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"name": "hellaswag-prompt-t5",
|
| 329 |
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"input": "context: {{ctx}} ending0: {{endings[0]}} ending1: {{endings[1]}} ending2: {{endings[2]}} ending3: {{endings[3]}}",
|
| 330 |
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"target": "{{lambda label: str(label)}}",
|
| 331 |
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| 332 |
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| 333 |
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|
| 334 |
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| 335 |
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|
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|
| 345 |
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|
| 346 |
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{
|
| 347 |
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"dataset": "hotpot_qa",
|
| 348 |
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"model": "T5",
|
| 349 |
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"name": "hotpot_qa-prompt-t5",
|
| 350 |
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"input": "question: {{question}} context: {{\"\".join(context[\"sentences\"][0])}}",
|
| 351 |
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"target": "{{answer}}",
|
| 352 |
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|
| 370 |
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{
|
| 371 |
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"dataset": "mnli",
|
| 372 |
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|
| 373 |
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"name": "mnli-prompt-t5",
|
| 374 |
+
"input": "mnli premise: {{premise}} hypothesis: {{hypothesis}}",
|
| 375 |
+
"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 376 |
+
"metadata": {
|
| 377 |
+
"languages": [
|
| 378 |
+
"en"
|
| 379 |
+
],
|
| 380 |
+
"metrics": [
|
| 381 |
+
"accuracy"
|
| 382 |
+
]
|
| 383 |
+
},
|
| 384 |
+
"languages": [
|
| 385 |
+
"en"
|
| 386 |
+
],
|
| 387 |
+
"metrics": [
|
| 388 |
+
"accuracy"
|
| 389 |
+
]
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"dataset": "mrpc",
|
| 393 |
+
"model": "T5",
|
| 394 |
+
"name": "mrpc-prompt-t5",
|
| 395 |
+
"input": "mrpc sentence1: {{sentence1}} sentence2: {{sentence2}}",
|
| 396 |
+
"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 397 |
+
"metadata": {
|
| 398 |
+
"languages": [
|
| 399 |
+
"en"
|
| 400 |
+
],
|
| 401 |
+
"metrics": [
|
| 402 |
+
"accuracy",
|
| 403 |
+
"f1_invalid"
|
| 404 |
+
]
|
| 405 |
+
},
|
| 406 |
+
"languages": [
|
| 407 |
+
"en"
|
| 408 |
+
],
|
| 409 |
+
"metrics": [
|
| 410 |
+
"accuracy",
|
| 411 |
+
"f1_invalid"
|
| 412 |
+
]
|
| 413 |
+
},
|
| 414 |
+
{
|
| 415 |
+
"dataset": "mrqa",
|
| 416 |
+
"model": "T5",
|
| 417 |
+
"name": "mrqa-prompt-t5",
|
| 418 |
+
"input": "question: {{question}} context: {{context}}",
|
| 419 |
+
"target": "{{answers[0]}}",
|
| 420 |
+
"metadata": {
|
| 421 |
+
"languages": [
|
| 422 |
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"en"
|
| 423 |
+
],
|
| 424 |
+
"metrics": [
|
| 425 |
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"squad"
|
| 426 |
+
],
|
| 427 |
+
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|
| 428 |
+
"pad_punctuation"
|
| 429 |
+
]
|
| 430 |
+
},
|
| 431 |
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"languages": [
|
| 432 |
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"en"
|
| 433 |
+
],
|
| 434 |
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"metrics": [
|
| 435 |
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"squad"
|
| 436 |
+
]
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"dataset": "multirc",
|
| 440 |
+
"model": "T5",
|
| 441 |
+
"name": "multirc-prompt-t5",
|
| 442 |
+
"input": "multirc question: {{question}} answer: {{answer}} paragraph: {{paragraph}}",
|
| 443 |
+
"target": "{{lambda label: \"<unk>\" if label == -1 else choices[label]}}",
|
| 444 |
+
"metadata": {
|
| 445 |
+
"languages": [
|
| 446 |
+
"en"
|
| 447 |
+
],
|
| 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 |
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"rouge"
|
| 476 |
+
]
|
| 477 |
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},
|
| 478 |
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"languages": [
|
| 479 |
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"en"
|
| 480 |
+
],
|
| 481 |
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"metrics": [
|
| 482 |
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"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 |
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"en"
|
| 494 |
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],
|
| 495 |
+
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|
| 496 |
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"accuracy"
|
| 497 |
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]
|
| 498 |
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},
|
| 499 |
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"languages": [
|
| 500 |
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"en"
|
| 501 |
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],
|
| 502 |
+
"metrics": [
|
| 503 |
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"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 |
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],
|
| 516 |
+
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|
| 517 |
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|
| 518 |
+
],
|
| 519 |
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|
| 520 |
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"pad_punctuation"
|
| 521 |
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]
|
| 522 |
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},
|
| 523 |
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|
| 524 |
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"en"
|
| 525 |
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],
|
| 526 |
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|
| 527 |
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|
| 528 |
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]
|
| 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 |
+
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|
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|
| 542 |
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],
|
| 543 |
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|
| 544 |
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|
| 545 |
+
]
|
| 546 |
+
},
|
| 547 |
+
"languages": [
|
| 548 |
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"en"
|
| 549 |
+
],
|
| 550 |
+
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|
| 551 |
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|
| 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 |
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|
| 565 |
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|
| 566 |
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]
|
| 567 |
+
},
|
| 568 |
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"languages": [
|
| 569 |
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"en"
|
| 570 |
+
],
|
| 571 |
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"metrics": [
|
| 572 |
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"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 |
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"en"
|
| 584 |
+
],
|
| 585 |
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|
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|
| 587 |
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],
|
| 588 |
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|
| 589 |
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"pad_punctuation"
|
| 590 |
+
]
|
| 591 |
+
},
|
| 592 |
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"languages": [
|
| 593 |
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"en"
|
| 594 |
+
],
|
| 595 |
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|
| 596 |
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|
| 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 |
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"accuracy"
|
| 611 |
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]
|
| 612 |
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},
|
| 613 |
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"languages": [
|
| 614 |
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"en"
|
| 615 |
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],
|
| 616 |
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"metrics": [
|
| 617 |
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"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 |
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"en"
|
| 629 |
+
],
|
| 630 |
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"metrics": [
|
| 631 |
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"accuracy"
|
| 632 |
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]
|
| 633 |
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},
|
| 634 |
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| 635 |
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"en"
|
| 636 |
+
],
|
| 637 |
+
"metrics": [
|
| 638 |
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"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 |
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"metrics": [
|
| 652 |
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"accuracy",
|
| 653 |
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"f1_invalid"
|
| 654 |
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]
|
| 655 |
+
},
|
| 656 |
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|
| 657 |
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"en"
|
| 658 |
+
],
|
| 659 |
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"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 |
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"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 |
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"squad"
|
| 697 |
+
],
|
| 698 |
+
"preprocessing": [
|
| 699 |
+
"record_preprocess"
|
| 700 |
+
]
|
| 701 |
+
},
|
| 702 |
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"languages": [
|
| 703 |
+
"en"
|
| 704 |
+
],
|
| 705 |
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"metrics": [
|
| 706 |
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"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 |
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"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 |
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"en"
|
| 739 |
+
],
|
| 740 |
+
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|
| 741 |
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"rouge"
|
| 742 |
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]
|
| 743 |
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},
|
| 744 |
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"languages": [
|
| 745 |
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"en"
|
| 746 |
+
],
|
| 747 |
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"metrics": [
|
| 748 |
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"rouge"
|
| 749 |
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]
|
| 750 |
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},
|
| 751 |
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{
|
| 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 |
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|
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|
| 763 |
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],
|
| 764 |
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|
| 765 |
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"pad_punctuation"
|
| 766 |
+
]
|
| 767 |
+
},
|
| 768 |
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"languages": [
|
| 769 |
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"en"
|
| 770 |
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],
|
| 771 |
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|
| 772 |
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|
| 773 |
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]
|
| 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 |
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"en"
|
| 784 |
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],
|
| 785 |
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"metrics": [
|
| 786 |
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"accuracy"
|
| 787 |
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]
|
| 788 |
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},
|
| 789 |
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|
| 790 |
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|
| 791 |
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],
|
| 792 |
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|
| 793 |
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"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 |
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"en"
|
| 805 |
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],
|
| 806 |
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"metrics": [
|
| 807 |
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"accuracy"
|
| 808 |
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]
|
| 809 |
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},
|
| 810 |
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"languages": [
|
| 811 |
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"en"
|
| 812 |
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],
|
| 813 |
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"metrics": [
|
| 814 |
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"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 |
+
}
|