|
| 1 | +dataset: wmt14 |
| 2 | +subset: cs-en |
| 3 | +templates: |
| 4 | + 027bdc9b-aed7-4509-94ea-38b138f14ddf: !Template |
| 5 | + answer_choices: null |
| 6 | + id: 027bdc9b-aed7-4509-94ea-38b138f14ddf |
| 7 | + jinja: 'Translate this from Czech into English: {{translation["cs"]}} |
| 8 | +
|
| 9 | + ||| {{translation["en"]}}' |
| 10 | + metadata: !TemplateMetadata |
| 11 | + choices_in_prompt: false |
| 12 | + metrics: |
| 13 | + - BLEU |
| 14 | + original_task: true |
| 15 | + name: translate-cs-en-source+target |
| 16 | + reference: https://arxiv.org/pdf/1910.10683.pdf |
| 17 | + 16da9664-30e5-4acc-aff6-21658158cf85: !Template |
| 18 | + answer_choices: null |
| 19 | + id: 16da9664-30e5-4acc-aff6-21658158cf85 |
| 20 | + jinja: 'What is the Czech translation of: {{translation["en"]}} |
| 21 | +
|
| 22 | + ||| {{translation["cs"]}}' |
| 23 | + metadata: !TemplateMetadata |
| 24 | + choices_in_prompt: false |
| 25 | + metrics: |
| 26 | + - BLEU |
| 27 | + original_task: true |
| 28 | + name: gpt-3-en-cs-target |
| 29 | + reference: GPT-3 paper |
| 30 | + 3b3ca652-8414-4442-b55f-c2fc7630b071: !Template |
| 31 | + answer_choices: null |
| 32 | + id: 3b3ca652-8414-4442-b55f-c2fc7630b071 |
| 33 | + jinja: 'Given the following source text in English: {{translation["en"]}} , a |
| 34 | + good Czech translation is: |
| 35 | +
|
| 36 | + ||| {{translation["cs"]}}' |
| 37 | + metadata: !TemplateMetadata |
| 38 | + choices_in_prompt: false |
| 39 | + metrics: |
| 40 | + - BLEU |
| 41 | + original_task: true |
| 42 | + name: a_good_translation-en-cs-source+target |
| 43 | + reference: '' |
| 44 | + 4266e99a-41fa-4c2d-8bbc-91317f42d9ff: !Template |
| 45 | + answer_choices: null |
| 46 | + id: 4266e99a-41fa-4c2d-8bbc-91317f42d9ff |
| 47 | + jinja: 'What is the English translation of the Czech sentence: {{translation["cs"]}} |
| 48 | +
|
| 49 | + ||| {{translation["en"]}}' |
| 50 | + metadata: !TemplateMetadata |
| 51 | + choices_in_prompt: false |
| 52 | + metrics: |
| 53 | + - BLEU |
| 54 | + original_task: true |
| 55 | + name: gpt-3-cs-en-source+target |
| 56 | + reference: GPT-3 paper |
| 57 | + 46621847-e018-43fe-b8d1-af439e130254: !Template |
| 58 | + answer_choices: null |
| 59 | + id: 46621847-e018-43fe-b8d1-af439e130254 |
| 60 | + jinja: 'What is the Czech translation of the English sentence: {{translation["en"]}} |
| 61 | +
|
| 62 | + ||| {{translation["cs"]}}' |
| 63 | + metadata: !TemplateMetadata |
| 64 | + choices_in_prompt: false |
| 65 | + metrics: |
| 66 | + - BLEU |
| 67 | + original_task: true |
| 68 | + name: gpt-3-en-cs-source+target |
| 69 | + reference: GPT 3 paper |
| 70 | + 4c52dc6a-f16c-4f3c-99d0-274b4162a616: !Template |
| 71 | + answer_choices: null |
| 72 | + id: 4c52dc6a-f16c-4f3c-99d0-274b4162a616 |
| 73 | + jinja: 'If the original version says: {{translation["en"]}}; then the Czech version |
| 74 | + should say: |
| 75 | +
|
| 76 | + ||| {{translation["cs"]}}' |
| 77 | + metadata: !TemplateMetadata |
| 78 | + choices_in_prompt: false |
| 79 | + metrics: |
| 80 | + - BLEU |
| 81 | + original_task: true |
| 82 | + name: version-en-cs-target |
| 83 | + reference: '' |
| 84 | + 5b87693b-ed41-4794-bb3e-b9bf7ada2689: !Template |
| 85 | + answer_choices: null |
| 86 | + id: 5b87693b-ed41-4794-bb3e-b9bf7ada2689 |
| 87 | + jinja: 'Given the following passage: {{translation["en"]}} , a good Czech translation |
| 88 | + is: ||| {{translation["cs"]}}' |
| 89 | + metadata: !TemplateMetadata |
| 90 | + choices_in_prompt: false |
| 91 | + metrics: |
| 92 | + - BLEU |
| 93 | + original_task: true |
| 94 | + name: a_good_translation-en-cs-target |
| 95 | + reference: '' |
| 96 | + 5e476fb7-5e6e-4732-a084-88e361a82de0: !Template |
| 97 | + answer_choices: null |
| 98 | + id: 5e476fb7-5e6e-4732-a084-88e361a82de0 |
| 99 | + jinja: '{{translation["cs"]}} translates into English as: |
| 100 | +
|
| 101 | + ||| {{translation["en"]}}' |
| 102 | + metadata: !TemplateMetadata |
| 103 | + choices_in_prompt: false |
| 104 | + metrics: |
| 105 | + - BLEU |
| 106 | + original_task: true |
| 107 | + name: translate_as_cs-en-target |
| 108 | + reference: '' |
| 109 | + 744bab4b-44d1-4368-a98d-4a403c1a7e0e: !Template |
| 110 | + answer_choices: null |
| 111 | + id: 744bab4b-44d1-4368-a98d-4a403c1a7e0e |
| 112 | + jinja: 'Translate this into English: {{translation["cs"]}} |
| 113 | +
|
| 114 | + ||| {{translation["en"]}}' |
| 115 | + metadata: !TemplateMetadata |
| 116 | + choices_in_prompt: false |
| 117 | + metrics: |
| 118 | + - BLEU |
| 119 | + original_task: true |
| 120 | + name: translate-cs-en-target |
| 121 | + reference: '' |
| 122 | + 7fd9d8d7-0c72-42da-a029-ef4d9a9e5f72: !Template |
| 123 | + answer_choices: null |
| 124 | + id: 7fd9d8d7-0c72-42da-a029-ef4d9a9e5f72 |
| 125 | + jinja: 'Given the following source text in Czech: {{translation["cs"]}} , a good |
| 126 | + English translation is: ||| {{translation["en"]}}' |
| 127 | + metadata: !TemplateMetadata |
| 128 | + choices_in_prompt: false |
| 129 | + metrics: |
| 130 | + - BLEU |
| 131 | + original_task: true |
| 132 | + name: a_good_translation-cs-en-source+target |
| 133 | + reference: '' |
| 134 | + 809cc7a3-189b-4018-8f81-1e65c2f42271: !Template |
| 135 | + answer_choices: null |
| 136 | + id: 809cc7a3-189b-4018-8f81-1e65c2f42271 |
| 137 | + jinja: 'Given the following passage: {{translation["cs"]}} , a good English translation |
| 138 | + is: |
| 139 | +
|
| 140 | + ||| {{translation["en"]}}' |
| 141 | + metadata: !TemplateMetadata |
| 142 | + choices_in_prompt: false |
| 143 | + metrics: |
| 144 | + - BLEU |
| 145 | + original_task: true |
| 146 | + name: a_good_translation-cs-en-target |
| 147 | + reference: '' |
| 148 | + 9023b083-ccf1-42a4-9589-5fffd3562649: !Template |
| 149 | + answer_choices: null |
| 150 | + id: 9023b083-ccf1-42a4-9589-5fffd3562649 |
| 151 | + jinja: 'If the Czech version says: {{translation["cs"]}}; then the English version |
| 152 | + should say: |
| 153 | +
|
| 154 | + ||| {{translation["en"]}}' |
| 155 | + metadata: !TemplateMetadata |
| 156 | + choices_in_prompt: false |
| 157 | + metrics: |
| 158 | + - BLEU |
| 159 | + original_task: true |
| 160 | + name: version-cs-en-source+target |
| 161 | + reference: '' |
| 162 | + 92e3a4a7-e7c2-4ea1-abfb-be63069d13fa: !Template |
| 163 | + answer_choices: null |
| 164 | + id: 92e3a4a7-e7c2-4ea1-abfb-be63069d13fa |
| 165 | + jinja: 'Translate this into Czech: {{translation["en"]}} |
| 166 | +
|
| 167 | + ||| {{translation["cs"]}}' |
| 168 | + metadata: !TemplateMetadata |
| 169 | + choices_in_prompt: false |
| 170 | + metrics: |
| 171 | + - BLEU |
| 172 | + original_task: true |
| 173 | + name: translate-en-cs-target |
| 174 | + reference: '' |
| 175 | + a63daae0-77ba-4790-a89d-2428193fbcdc: !Template |
| 176 | + answer_choices: null |
| 177 | + id: a63daae0-77ba-4790-a89d-2428193fbcdc |
| 178 | + jinja: 'What is the English translation of : {{translation["cs"]}} |
| 179 | +
|
| 180 | + ||| {{translation["en"]}}' |
| 181 | + metadata: !TemplateMetadata |
| 182 | + choices_in_prompt: false |
| 183 | + metrics: |
| 184 | + - BLEU |
| 185 | + original_task: true |
| 186 | + name: gpt-3-cs-en-target |
| 187 | + reference: GPT-3 paper |
| 188 | + a63fd691-4f07-41da-a98c-a934e866e74e: !Template |
| 189 | + answer_choices: null |
| 190 | + id: a63fd691-4f07-41da-a98c-a934e866e74e |
| 191 | + jinja: '{{translation["cs"]}} = English: |
| 192 | +
|
| 193 | + ||| {{translation["en"]}}' |
| 194 | + metadata: !TemplateMetadata |
| 195 | + choices_in_prompt: false |
| 196 | + metrics: |
| 197 | + - BLEU |
| 198 | + original_task: true |
| 199 | + name: xglm-cs-en-target |
| 200 | + reference: XGLM paper https://arxiv.org/abs/2112.10668 |
| 201 | + ab264706-636e-4bd0-a762-860029b54f45: !Template |
| 202 | + answer_choices: null |
| 203 | + id: ab264706-636e-4bd0-a762-860029b54f45 |
| 204 | + jinja: 'Translate this from English into Czech: {{translation["en"]}} |
| 205 | +
|
| 206 | + ||| {{translation["cs"]}}' |
| 207 | + metadata: !TemplateMetadata |
| 208 | + choices_in_prompt: false |
| 209 | + metrics: |
| 210 | + - BLEU |
| 211 | + original_task: true |
| 212 | + name: translate-en-cs-source+starget |
| 213 | + reference: '' |
| 214 | + ac25c74b-1a81-409e-9c4f-bdc94912721c: !Template |
| 215 | + answer_choices: null |
| 216 | + id: ac25c74b-1a81-409e-9c4f-bdc94912721c |
| 217 | + jinja: ' {{translation["en"]}} translates into Czech as: |
| 218 | +
|
| 219 | + ||| {{translation["cs"]}}' |
| 220 | + metadata: !TemplateMetadata |
| 221 | + choices_in_prompt: false |
| 222 | + metrics: |
| 223 | + - BLEU |
| 224 | + original_task: true |
| 225 | + name: translate_as_en-cs-target |
| 226 | + reference: '' |
| 227 | + b42858a8-35d7-4172-ace4-80df1f6a94e0: !Template |
| 228 | + answer_choices: null |
| 229 | + id: b42858a8-35d7-4172-ace4-80df1f6a94e0 |
| 230 | + jinja: 'If the English version says: {{translation["en"]}}; then the Czech version |
| 231 | + should say: |
| 232 | +
|
| 233 | + ||| {{translation["cs"]}}' |
| 234 | + metadata: !TemplateMetadata |
| 235 | + choices_in_prompt: false |
| 236 | + metrics: |
| 237 | + - BLEU |
| 238 | + original_task: true |
| 239 | + name: version-en-cs-source+target |
| 240 | + reference: '' |
| 241 | + c4629789-74ce-4378-8d03-f75b2327ad77: !Template |
| 242 | + answer_choices: null |
| 243 | + id: c4629789-74ce-4378-8d03-f75b2327ad77 |
| 244 | + jinja: 'English: {{translation["en"]}} = Czech: |
| 245 | +
|
| 246 | + ||| {{translation["cs"]}}' |
| 247 | + metadata: !TemplateMetadata |
| 248 | + choices_in_prompt: false |
| 249 | + metrics: |
| 250 | + - BLEU |
| 251 | + original_task: true |
| 252 | + name: xglm-en-cs-source-target |
| 253 | + reference: Adapted from XGLM paper on few shot evaluation https://arxiv.org/abs/2112.10668 |
| 254 | + cdce6dd9-52ad-42c3-a691-8efb13ab535f: !Template |
| 255 | + answer_choices: null |
| 256 | + id: cdce6dd9-52ad-42c3-a691-8efb13ab535f |
| 257 | + jinja: 'Czech: {{translation["cs"]}} translates into English as: |
| 258 | +
|
| 259 | + ||| {{translation["en"]}}' |
| 260 | + metadata: !TemplateMetadata |
| 261 | + choices_in_prompt: false |
| 262 | + metrics: |
| 263 | + - BLEU |
| 264 | + original_task: true |
| 265 | + name: translate_as_cs-en-source+target |
| 266 | + reference: '' |
| 267 | + dcefc4dc-560d-4bf5-8623-c99d535232b0: !Template |
| 268 | + answer_choices: null |
| 269 | + id: dcefc4dc-560d-4bf5-8623-c99d535232b0 |
| 270 | + jinja: 'How do you say {{translation["cs"]}} in English? |
| 271 | +
|
| 272 | + ||| {{translation["en"]}}' |
| 273 | + metadata: !TemplateMetadata |
| 274 | + choices_in_prompt: false |
| 275 | + metrics: |
| 276 | + - BLEU |
| 277 | + original_task: true |
| 278 | + name: how_to_say-cs-en-target |
| 279 | + reference: '' |
| 280 | + e13ee973-fce4-4d42-8ec5-b871c20eaf39: !Template |
| 281 | + answer_choices: null |
| 282 | + id: e13ee973-fce4-4d42-8ec5-b871c20eaf39 |
| 283 | + jinja: 'Czech: {{translation["cs"]}} = English: |
| 284 | +
|
| 285 | + ||| {{translation["en"]}}' |
| 286 | + metadata: !TemplateMetadata |
| 287 | + choices_in_prompt: false |
| 288 | + metrics: |
| 289 | + - BLEU |
| 290 | + original_task: true |
| 291 | + name: xglm-cs-en-source+target |
| 292 | + reference: XGLM paper https://arxiv.org/abs/2112.10668 |
| 293 | + ee298b4c-8165-44cc-81b6-1fb18f4e9e02: !Template |
| 294 | + answer_choices: null |
| 295 | + id: ee298b4c-8165-44cc-81b6-1fb18f4e9e02 |
| 296 | + jinja: 'English: {{translation["en"]}} translates into Czech as: |
| 297 | +
|
| 298 | + ||| {{translation["cs"]}}' |
| 299 | + metadata: !TemplateMetadata |
| 300 | + choices_in_prompt: false |
| 301 | + metrics: |
| 302 | + - BLEU |
| 303 | + original_task: true |
| 304 | + name: translate_as_en-cs-source+target |
| 305 | + reference: '' |
| 306 | + f7af3145-3444-4183-921b-a549fef5e1b3: !Template |
| 307 | + answer_choices: null |
| 308 | + id: f7af3145-3444-4183-921b-a549fef5e1b3 |
| 309 | + jinja: 'If the original version says: {{translation["cs"]}}; then the English |
| 310 | + version should say: |
| 311 | +
|
| 312 | + ||| {{translation["en"]}}' |
| 313 | + metadata: !TemplateMetadata |
| 314 | + choices_in_prompt: false |
| 315 | + metrics: |
| 316 | + - BLEU |
| 317 | + original_task: true |
| 318 | + name: version-cs-en-target |
| 319 | + reference: '' |
| 320 | + f7d630ca-1791-4aaf-97b5-7c15e5eba296: !Template |
| 321 | + answer_choices: null |
| 322 | + id: f7d630ca-1791-4aaf-97b5-7c15e5eba296 |
| 323 | + jinja: 'How do you say {{translation["en"]}} in Czech? |
| 324 | +
|
| 325 | + ||| {{translation["cs"]}}' |
| 326 | + metadata: !TemplateMetadata |
| 327 | + choices_in_prompt: false |
| 328 | + metrics: |
| 329 | + - BLEU |
| 330 | + original_task: true |
| 331 | + name: how_to_say-en-cs-target |
| 332 | + reference: '' |
| 333 | + f83cb5c3-7989-49d9-a1cb-6fdc16b445e3: !Template |
| 334 | + answer_choices: null |
| 335 | + id: f83cb5c3-7989-49d9-a1cb-6fdc16b445e3 |
| 336 | + jinja: '{{translation["en"]}} = Czech: |
| 337 | +
|
| 338 | + ||| {{translation["cs"]}}' |
| 339 | + metadata: !TemplateMetadata |
| 340 | + choices_in_prompt: false |
| 341 | + metrics: |
| 342 | + - BLEU |
| 343 | + original_task: true |
| 344 | + name: xglm-en-cs-target |
| 345 | + reference: XGLM paper https://arxiv.org/abs/2112.10668 |
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