Upload longds_task_list
Browse files- longds-full68/task_list.json +342 -0
longds-full68/task_list.json
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| 1 |
+
[
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| 2 |
+
{
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| 3 |
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"task_domain": "business",
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| 4 |
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"dataset_name": "goodbooks_10k",
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| 5 |
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"task_id": "task1"
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| 6 |
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},
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| 7 |
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{
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| 8 |
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"task_domain": "business",
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| 9 |
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"dataset_name": "goodreads_books",
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| 10 |
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"task_id": "task1"
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| 11 |
+
},
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| 12 |
+
{
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| 13 |
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"task_domain": "business",
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| 14 |
+
"dataset_name": "my_uber_drivers",
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| 15 |
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"task_id": "task1"
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| 16 |
+
},
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| 17 |
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{
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| 18 |
+
"task_domain": "business",
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| 19 |
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"dataset_name": "my_uber_drivers",
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| 20 |
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"task_id": "task2"
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| 21 |
+
},
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| 22 |
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{
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| 23 |
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"task_domain": "business",
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| 24 |
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"dataset_name": "netflix_movies_and_tv_shows",
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| 25 |
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"task_id": "task1"
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| 26 |
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},
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| 27 |
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{
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| 28 |
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"task_domain": "business",
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| 29 |
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"dataset_name": "netflix_movies_and_tv_shows",
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| 30 |
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"task_id": "task2"
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| 31 |
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},
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| 32 |
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{
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| 33 |
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"task_domain": "business",
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| 34 |
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"dataset_name": "netflix_movies_and_tv_shows",
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| 35 |
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"task_id": "task3"
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| 36 |
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},
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| 37 |
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{
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| 38 |
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"task_domain": "business",
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| 39 |
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"dataset_name": "netflix_movies_and_tv_shows",
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| 40 |
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"task_id": "task4"
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| 41 |
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},
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| 42 |
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{
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| 43 |
+
"task_domain": "business",
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| 44 |
+
"dataset_name": "nyc_restaurants_data_food_ordering_and_delivery",
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| 45 |
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"task_id": "task1"
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| 46 |
+
},
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| 47 |
+
{
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| 48 |
+
"task_domain": "business",
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| 49 |
+
"dataset_name": "nyc_restaurants_data_food_ordering_and_delivery",
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| 50 |
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"task_id": "task2"
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| 51 |
+
},
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| 52 |
+
{
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| 53 |
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"task_domain": "business",
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| 54 |
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"dataset_name": "nyc_restaurants_data_food_ordering_and_delivery",
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| 55 |
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"task_id": "task3"
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| 56 |
+
},
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| 57 |
+
{
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| 58 |
+
"task_domain": "business",
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| 59 |
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"dataset_name": "transaction_data_for_fraud_analysis",
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| 60 |
+
"task_id": "task1"
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| 61 |
+
},
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| 62 |
+
{
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| 63 |
+
"task_domain": "community",
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| 64 |
+
"dataset_name": "github_programming_languages_data",
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| 65 |
+
"task_id": "task1"
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| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"task_domain": "community",
|
| 69 |
+
"dataset_name": "kaggle-survey-2018",
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| 70 |
+
"task_id": "task1"
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"task_domain": "community",
|
| 74 |
+
"dataset_name": "kaggle-survey-2018",
|
| 75 |
+
"task_id": "task2"
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"task_domain": "community",
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| 79 |
+
"dataset_name": "kaggle-survey-2018",
|
| 80 |
+
"task_id": "task3"
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"task_domain": "community",
|
| 84 |
+
"dataset_name": "kaggle-survey-2019",
|
| 85 |
+
"task_id": "task1"
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"task_domain": "community",
|
| 89 |
+
"dataset_name": "kaggle-survey-2019",
|
| 90 |
+
"task_id": "task2"
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"task_domain": "community",
|
| 94 |
+
"dataset_name": "kaggle-survey-2019",
|
| 95 |
+
"task_id": "task3"
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"task_domain": "community",
|
| 99 |
+
"dataset_name": "kaggle-survey-2020",
|
| 100 |
+
"task_id": "task1"
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"task_domain": "community",
|
| 104 |
+
"dataset_name": "kaggle-survey-2020",
|
| 105 |
+
"task_id": "task2"
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"task_domain": "community",
|
| 109 |
+
"dataset_name": "kaggle-survey-2020",
|
| 110 |
+
"task_id": "task3"
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"task_domain": "community",
|
| 114 |
+
"dataset_name": "kaggle-survey-2021",
|
| 115 |
+
"task_id": "task1"
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"task_domain": "community",
|
| 119 |
+
"dataset_name": "kaggle-survey-2021",
|
| 120 |
+
"task_id": "task2"
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"task_domain": "community",
|
| 124 |
+
"dataset_name": "kaggle-survey-2021",
|
| 125 |
+
"task_id": "task3"
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"task_domain": "community",
|
| 129 |
+
"dataset_name": "kaggle-survey-2022",
|
| 130 |
+
"task_id": "task1"
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"task_domain": "community",
|
| 134 |
+
"dataset_name": "kaggle-survey-2022",
|
| 135 |
+
"task_id": "task2"
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"task_domain": "community",
|
| 139 |
+
"dataset_name": "kaggle-survey-2022",
|
| 140 |
+
"task_id": "task3"
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"task_domain": "education",
|
| 144 |
+
"dataset_name": "LearnPlatform_COVID-19_Impact_on_Digital_Learning",
|
| 145 |
+
"task_id": "task1"
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"task_domain": "education",
|
| 149 |
+
"dataset_name": "LearnPlatform_COVID-19_Impact_on_Digital_Learning",
|
| 150 |
+
"task_id": "task2"
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"task_domain": "education",
|
| 154 |
+
"dataset_name": "LearnPlatform_COVID-19_Impact_on_Digital_Learning",
|
| 155 |
+
"task_id": "task3"
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"task_domain": "education",
|
| 159 |
+
"dataset_name": "bi",
|
| 160 |
+
"task_id": "task1"
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"task_domain": "education",
|
| 164 |
+
"dataset_name": "bi",
|
| 165 |
+
"task_id": "task2"
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"task_domain": "education",
|
| 169 |
+
"dataset_name": "world_university_rankings",
|
| 170 |
+
"task_id": "task1"
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"task_domain": "education",
|
| 174 |
+
"dataset_name": "world_university_rankings",
|
| 175 |
+
"task_id": "task2"
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"task_domain": "education",
|
| 179 |
+
"dataset_name": "world_university_rankings",
|
| 180 |
+
"task_id": "task3"
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"task_domain": "geoscience",
|
| 184 |
+
"dataset_name": "acea_water_prediction",
|
| 185 |
+
"task_id": "task1"
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"task_domain": "geoscience",
|
| 189 |
+
"dataset_name": "acea_water_prediction",
|
| 190 |
+
"task_id": "task2"
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"task_domain": "geoscience",
|
| 194 |
+
"dataset_name": "acea_water_prediction",
|
| 195 |
+
"task_id": "task3"
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"task_domain": "geoscience",
|
| 199 |
+
"dataset_name": "cdp-unlocking-climate-solutions",
|
| 200 |
+
"task_id": "task1"
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"task_domain": "geoscience",
|
| 204 |
+
"dataset_name": "cdp-unlocking-climate-solutions",
|
| 205 |
+
"task_id": "task2"
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"task_domain": "geoscience",
|
| 209 |
+
"dataset_name": "cdp-unlocking-climate-solutions",
|
| 210 |
+
"task_id": "task3"
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"task_domain": "geoscience",
|
| 214 |
+
"dataset_name": "cdp-unlocking-climate-solutions",
|
| 215 |
+
"task_id": "task4"
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"task_domain": "geoscience",
|
| 219 |
+
"dataset_name": "ds4g-environmental-insights-explorer",
|
| 220 |
+
"task_id": "task1"
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"task_domain": "geoscience",
|
| 224 |
+
"dataset_name": "ds4g-environmental-insights-explorer",
|
| 225 |
+
"task_id": "task2"
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"task_domain": "geoscience",
|
| 229 |
+
"dataset_name": "global-data-on-sustainable-energy",
|
| 230 |
+
"task_id": "task1"
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"task_domain": "geoscience",
|
| 234 |
+
"dataset_name": "global-data-on-sustainable-energy",
|
| 235 |
+
"task_id": "task2"
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"task_domain": "geoscience",
|
| 239 |
+
"dataset_name": "global-data-on-sustainable-energy",
|
| 240 |
+
"task_id": "task3"
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"task_domain": "geoscience",
|
| 244 |
+
"dataset_name": "marmara-region-earthquakes-apr-2324-2025",
|
| 245 |
+
"task_id": "task1"
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"task_domain": "geoscience",
|
| 249 |
+
"dataset_name": "phase-ii-widsdatathon2022",
|
| 250 |
+
"task_id": "task1"
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"task_domain": "geoscience",
|
| 254 |
+
"dataset_name": "phase-ii-widsdatathon2022",
|
| 255 |
+
"task_id": "task2"
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"task_domain": "geoscience",
|
| 259 |
+
"dataset_name": "phase-ii-widsdatathon2022",
|
| 260 |
+
"task_id": "task3"
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"task_domain": "geoscience",
|
| 264 |
+
"dataset_name": "water-potability",
|
| 265 |
+
"task_id": "task1"
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"task_domain": "geoscience",
|
| 269 |
+
"dataset_name": "water-potability",
|
| 270 |
+
"task_id": "task2"
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"task_domain": "geoscience",
|
| 274 |
+
"dataset_name": "water-potability",
|
| 275 |
+
"task_id": "task3"
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"task_domain": "social_good",
|
| 279 |
+
"dataset_name": "careerVillage_org",
|
| 280 |
+
"task_id": "task1"
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"task_domain": "social_good",
|
| 284 |
+
"dataset_name": "careerVillage_org",
|
| 285 |
+
"task_id": "task2"
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"task_domain": "social_good",
|
| 289 |
+
"dataset_name": "center_for_policing_equity",
|
| 290 |
+
"task_id": "task1"
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"task_domain": "social_good",
|
| 294 |
+
"dataset_name": "center_for_policing_equity",
|
| 295 |
+
"task_id": "task2"
|
| 296 |
+
},
|
| 297 |
+
{
|
| 298 |
+
"task_domain": "social_good",
|
| 299 |
+
"dataset_name": "data_science_for_good_city_of_los_angeles",
|
| 300 |
+
"task_id": "task1"
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"task_domain": "social_good",
|
| 304 |
+
"dataset_name": "data_science_for_good_kiva_crowdfunding",
|
| 305 |
+
"task_id": "task1"
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"task_domain": "social_good",
|
| 309 |
+
"dataset_name": "data_science_for_good_kiva_crowdfunding",
|
| 310 |
+
"task_id": "task2"
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"task_domain": "social_good",
|
| 314 |
+
"dataset_name": "data_science_for_good_kiva_crowdfunding",
|
| 315 |
+
"task_id": "task3"
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"task_domain": "social_good",
|
| 319 |
+
"dataset_name": "passnyc",
|
| 320 |
+
"task_id": "task1"
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"task_domain": "social_good",
|
| 324 |
+
"dataset_name": "passnyc",
|
| 325 |
+
"task_id": "task2"
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"task_domain": "sports",
|
| 329 |
+
"dataset_name": "big_data_derby_2022",
|
| 330 |
+
"task_id": "task1"
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"task_domain": "sports",
|
| 334 |
+
"dataset_name": "march_madness_analytics",
|
| 335 |
+
"task_id": "task1"
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"task_domain": "sports",
|
| 339 |
+
"dataset_name": "nfl_big_data_bowl_2023",
|
| 340 |
+
"task_id": "task1"
|
| 341 |
+
}
|
| 342 |
+
]
|