Datasets:
Update README.md
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README.md
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---
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license: apache-2.0
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dataset_info:
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- config_name: cat_Latn
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| 5 |
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features:
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| 6 |
-
- name: corpus
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-
dtype: string
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| 8 |
-
- name: category
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dtype: string
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-
- name: dataset
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dtype: string
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-
- name: task
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-
dtype: string
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| 14 |
-
- name: prompt
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dtype: string
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-
- name: model
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| 17 |
-
dtype: string
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| 18 |
-
- name: ckpt_num
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-
dtype: int64
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| 20 |
-
- name: score
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| 21 |
-
dtype: float64
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| 22 |
-
splits:
|
| 23 |
-
- name: results
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| 24 |
-
num_bytes: 1786251
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| 25 |
-
num_examples: 8004
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| 26 |
-
download_size: 99314
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| 27 |
-
dataset_size: 1786251
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| 28 |
-
- config_name: ces_Latn
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| 29 |
-
features:
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| 30 |
-
- name: corpus
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| 31 |
-
dtype: string
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| 32 |
-
- name: category
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| 33 |
-
dtype: string
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| 34 |
-
- name: dataset
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-
dtype: string
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| 36 |
-
- name: task
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-
dtype: string
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| 38 |
-
- name: prompt
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| 39 |
-
dtype: string
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| 40 |
-
- name: model
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| 41 |
-
dtype: string
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| 42 |
-
- name: ckpt_num
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| 43 |
-
dtype: int64
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| 44 |
-
- name: score
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| 45 |
-
dtype: float64
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| 46 |
-
splits:
|
| 47 |
-
- name: results
|
| 48 |
-
num_bytes: 2030164
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| 49 |
-
num_examples: 8816
|
| 50 |
-
download_size: 81012
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| 51 |
-
dataset_size: 2030164
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| 52 |
-
- config_name: eus_Latn
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| 53 |
-
features:
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| 54 |
-
- name: corpus
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| 55 |
-
dtype: string
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| 56 |
-
- name: category
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| 57 |
-
dtype: string
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| 58 |
-
- name: dataset
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-
dtype: string
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-
- name: task
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| 61 |
-
dtype: string
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| 62 |
-
- name: prompt
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| 63 |
-
dtype: string
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| 64 |
-
- name: model
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| 65 |
-
dtype: string
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| 66 |
-
- name: ckpt_num
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| 67 |
-
dtype: int64
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| 68 |
-
- name: score
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| 69 |
-
dtype: float64
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| 70 |
-
splits:
|
| 71 |
-
- name: results
|
| 72 |
-
num_bytes: 1598144
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| 73 |
-
num_examples: 5568
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| 74 |
-
download_size: 58635
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| 75 |
-
dataset_size: 1598144
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| 76 |
-
- config_name: fin_Latn
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| 77 |
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features:
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| 78 |
-
- name: corpus
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| 79 |
-
dtype: string
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| 80 |
-
- name: category
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| 81 |
-
dtype: string
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| 82 |
-
- name: dataset
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-
dtype: string
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| 84 |
-
- name: task
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| 85 |
-
dtype: string
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| 86 |
-
- name: prompt
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| 87 |
-
dtype: string
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| 88 |
-
- name: model
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| 89 |
-
dtype: string
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| 90 |
-
- name: ckpt_num
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| 91 |
-
dtype: int64
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| 92 |
-
- name: score
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| 93 |
-
dtype: float64
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| 94 |
-
splits:
|
| 95 |
-
- name: results
|
| 96 |
-
num_bytes: 2861252
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| 97 |
-
num_examples: 11600
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| 98 |
-
download_size: 134137
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| 99 |
-
dataset_size: 2861252
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| 100 |
-
- config_name: fra_Latn
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| 101 |
-
features:
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| 102 |
-
- name: corpus
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| 103 |
-
dtype: string
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| 104 |
-
- name: category
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| 105 |
-
dtype: string
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| 106 |
-
- name: dataset
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-
dtype: string
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| 108 |
-
- name: task
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-
dtype: string
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-
- name: prompt
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-
dtype: string
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| 112 |
-
- name: model
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-
dtype: string
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| 114 |
-
- name: ckpt_num
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| 115 |
-
dtype: int64
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| 116 |
-
- name: score
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| 117 |
-
dtype: float64
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| 118 |
-
splits:
|
| 119 |
-
- name: results
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| 120 |
-
num_bytes: 770167
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| 121 |
-
num_examples: 3129
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| 122 |
-
download_size: 30495
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| 123 |
-
dataset_size: 770167
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| 124 |
-
- config_name: glg_Latn
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| 125 |
-
features:
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| 126 |
-
- name: corpus
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| 127 |
-
dtype: string
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| 128 |
-
- name: category
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-
dtype: string
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-
- name: dataset
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-
dtype: string
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-
- name: task
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-
dtype: string
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-
- name: prompt
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| 135 |
-
dtype: string
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| 136 |
-
- name: model
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| 137 |
-
dtype: string
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| 138 |
-
- name: ckpt_num
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| 139 |
-
dtype: int64
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| 140 |
-
- name: score
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| 141 |
-
dtype: float64
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| 142 |
-
splits:
|
| 143 |
-
- name: results
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| 144 |
-
num_bytes: 784095
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| 145 |
-
num_examples: 3480
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| 146 |
-
download_size: 34565
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| 147 |
-
dataset_size: 784095
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| 148 |
-
- config_name: nor_Latn
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| 149 |
-
features:
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| 150 |
-
- name: corpus
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| 151 |
-
dtype: string
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| 152 |
-
- name: category
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| 153 |
-
dtype: string
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| 154 |
-
- name: dataset
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-
dtype: string
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| 156 |
-
- name: task
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dtype: string
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-
- name: prompt
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-
dtype: string
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-
- name: model
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-
dtype: string
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| 162 |
-
- name: ckpt_num
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-
dtype: int64
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| 164 |
-
- name: score
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| 165 |
-
dtype: float64
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| 166 |
-
splits:
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-
- name: results
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| 168 |
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num_bytes: 2243240
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| 169 |
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num_examples: 8120
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| 170 |
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download_size: 99819
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| 171 |
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dataset_size: 2243240
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| 172 |
-
- config_name: spa_Latn
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| 173 |
-
features:
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-
- name: corpus
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| 175 |
-
dtype: string
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| 176 |
-
- name: category
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| 177 |
-
dtype: string
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-
- name: dataset
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dtype: string
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- name: task
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dtype: string
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-
- name: prompt
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dtype: string
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-
- name: model
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| 185 |
-
dtype: string
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| 186 |
-
- name: ckpt_num
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| 187 |
-
dtype: int64
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| 188 |
-
- name: score
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| 189 |
-
dtype: float64
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| 190 |
-
splits:
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-
- name: results
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| 192 |
-
num_bytes: 1263252
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| 193 |
-
num_examples: 5568
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| 194 |
-
download_size: 60432
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| 195 |
-
dataset_size: 1263252
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| 196 |
-
- config_name: ukr_Cyrl
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| 197 |
-
features:
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- name: corpus
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dtype: string
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| 200 |
-
- name: category
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-
dtype: string
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- name: dataset
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-
dtype: string
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- name: task
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dtype: string
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- name: prompt
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dtype: string
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-
- name: model
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-
dtype: string
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-
- name: ckpt_num
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-
dtype: int64
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-
- name: score
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-
dtype: float64
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-
splits:
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- name: results
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-
num_bytes: 575270
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num_examples: 1972
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| 218 |
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download_size: 17386
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| 219 |
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dataset_size: 575270
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| 220 |
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configs:
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- config_name: cat_Latn
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| 222 |
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data_files:
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-
- split: results
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| 224 |
-
path: cat_Latn/results-*
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| 225 |
-
- config_name: ces_Latn
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| 226 |
-
data_files:
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| 227 |
-
- split: results
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| 228 |
-
path: ces_Latn/results-*
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| 229 |
-
- config_name: eus_Latn
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| 230 |
-
data_files:
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| 231 |
-
- split: results
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| 232 |
-
path: eus_Latn/results-*
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| 233 |
-
- config_name: fin_Latn
|
| 234 |
-
data_files:
|
| 235 |
-
- split: results
|
| 236 |
-
path: fin_Latn/results-*
|
| 237 |
-
- config_name: fra_Latn
|
| 238 |
-
data_files:
|
| 239 |
-
- split: results
|
| 240 |
-
path: fra_Latn/results-*
|
| 241 |
-
- config_name: glg_Latn
|
| 242 |
-
data_files:
|
| 243 |
-
- split: results
|
| 244 |
-
path: glg_Latn/results-*
|
| 245 |
-
- config_name: nor_Latn
|
| 246 |
-
data_files:
|
| 247 |
-
- split: results
|
| 248 |
-
path: nor_Latn/results-*
|
| 249 |
-
- config_name: spa_Latn
|
| 250 |
-
data_files:
|
| 251 |
-
- split: results
|
| 252 |
-
path: spa_Latn/results-*
|
| 253 |
-
- config_name: ukr_Cyrl
|
| 254 |
-
data_files:
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| 255 |
-
- split: results
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| 256 |
-
path: ukr_Cyrl/results-*
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| 257 |
-
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| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
dataset_info:
|
| 4 |
+
- config_name: cat_Latn
|
| 5 |
+
features:
|
| 6 |
+
- name: corpus
|
| 7 |
+
dtype: string
|
| 8 |
+
- name: category
|
| 9 |
+
dtype: string
|
| 10 |
+
- name: dataset
|
| 11 |
+
dtype: string
|
| 12 |
+
- name: task
|
| 13 |
+
dtype: string
|
| 14 |
+
- name: prompt
|
| 15 |
+
dtype: string
|
| 16 |
+
- name: model
|
| 17 |
+
dtype: string
|
| 18 |
+
- name: ckpt_num
|
| 19 |
+
dtype: int64
|
| 20 |
+
- name: score
|
| 21 |
+
dtype: float64
|
| 22 |
+
splits:
|
| 23 |
+
- name: results
|
| 24 |
+
num_bytes: 1786251
|
| 25 |
+
num_examples: 8004
|
| 26 |
+
download_size: 99314
|
| 27 |
+
dataset_size: 1786251
|
| 28 |
+
- config_name: ces_Latn
|
| 29 |
+
features:
|
| 30 |
+
- name: corpus
|
| 31 |
+
dtype: string
|
| 32 |
+
- name: category
|
| 33 |
+
dtype: string
|
| 34 |
+
- name: dataset
|
| 35 |
+
dtype: string
|
| 36 |
+
- name: task
|
| 37 |
+
dtype: string
|
| 38 |
+
- name: prompt
|
| 39 |
+
dtype: string
|
| 40 |
+
- name: model
|
| 41 |
+
dtype: string
|
| 42 |
+
- name: ckpt_num
|
| 43 |
+
dtype: int64
|
| 44 |
+
- name: score
|
| 45 |
+
dtype: float64
|
| 46 |
+
splits:
|
| 47 |
+
- name: results
|
| 48 |
+
num_bytes: 2030164
|
| 49 |
+
num_examples: 8816
|
| 50 |
+
download_size: 81012
|
| 51 |
+
dataset_size: 2030164
|
| 52 |
+
- config_name: eus_Latn
|
| 53 |
+
features:
|
| 54 |
+
- name: corpus
|
| 55 |
+
dtype: string
|
| 56 |
+
- name: category
|
| 57 |
+
dtype: string
|
| 58 |
+
- name: dataset
|
| 59 |
+
dtype: string
|
| 60 |
+
- name: task
|
| 61 |
+
dtype: string
|
| 62 |
+
- name: prompt
|
| 63 |
+
dtype: string
|
| 64 |
+
- name: model
|
| 65 |
+
dtype: string
|
| 66 |
+
- name: ckpt_num
|
| 67 |
+
dtype: int64
|
| 68 |
+
- name: score
|
| 69 |
+
dtype: float64
|
| 70 |
+
splits:
|
| 71 |
+
- name: results
|
| 72 |
+
num_bytes: 1598144
|
| 73 |
+
num_examples: 5568
|
| 74 |
+
download_size: 58635
|
| 75 |
+
dataset_size: 1598144
|
| 76 |
+
- config_name: fin_Latn
|
| 77 |
+
features:
|
| 78 |
+
- name: corpus
|
| 79 |
+
dtype: string
|
| 80 |
+
- name: category
|
| 81 |
+
dtype: string
|
| 82 |
+
- name: dataset
|
| 83 |
+
dtype: string
|
| 84 |
+
- name: task
|
| 85 |
+
dtype: string
|
| 86 |
+
- name: prompt
|
| 87 |
+
dtype: string
|
| 88 |
+
- name: model
|
| 89 |
+
dtype: string
|
| 90 |
+
- name: ckpt_num
|
| 91 |
+
dtype: int64
|
| 92 |
+
- name: score
|
| 93 |
+
dtype: float64
|
| 94 |
+
splits:
|
| 95 |
+
- name: results
|
| 96 |
+
num_bytes: 2861252
|
| 97 |
+
num_examples: 11600
|
| 98 |
+
download_size: 134137
|
| 99 |
+
dataset_size: 2861252
|
| 100 |
+
- config_name: fra_Latn
|
| 101 |
+
features:
|
| 102 |
+
- name: corpus
|
| 103 |
+
dtype: string
|
| 104 |
+
- name: category
|
| 105 |
+
dtype: string
|
| 106 |
+
- name: dataset
|
| 107 |
+
dtype: string
|
| 108 |
+
- name: task
|
| 109 |
+
dtype: string
|
| 110 |
+
- name: prompt
|
| 111 |
+
dtype: string
|
| 112 |
+
- name: model
|
| 113 |
+
dtype: string
|
| 114 |
+
- name: ckpt_num
|
| 115 |
+
dtype: int64
|
| 116 |
+
- name: score
|
| 117 |
+
dtype: float64
|
| 118 |
+
splits:
|
| 119 |
+
- name: results
|
| 120 |
+
num_bytes: 770167
|
| 121 |
+
num_examples: 3129
|
| 122 |
+
download_size: 30495
|
| 123 |
+
dataset_size: 770167
|
| 124 |
+
- config_name: glg_Latn
|
| 125 |
+
features:
|
| 126 |
+
- name: corpus
|
| 127 |
+
dtype: string
|
| 128 |
+
- name: category
|
| 129 |
+
dtype: string
|
| 130 |
+
- name: dataset
|
| 131 |
+
dtype: string
|
| 132 |
+
- name: task
|
| 133 |
+
dtype: string
|
| 134 |
+
- name: prompt
|
| 135 |
+
dtype: string
|
| 136 |
+
- name: model
|
| 137 |
+
dtype: string
|
| 138 |
+
- name: ckpt_num
|
| 139 |
+
dtype: int64
|
| 140 |
+
- name: score
|
| 141 |
+
dtype: float64
|
| 142 |
+
splits:
|
| 143 |
+
- name: results
|
| 144 |
+
num_bytes: 784095
|
| 145 |
+
num_examples: 3480
|
| 146 |
+
download_size: 34565
|
| 147 |
+
dataset_size: 784095
|
| 148 |
+
- config_name: nor_Latn
|
| 149 |
+
features:
|
| 150 |
+
- name: corpus
|
| 151 |
+
dtype: string
|
| 152 |
+
- name: category
|
| 153 |
+
dtype: string
|
| 154 |
+
- name: dataset
|
| 155 |
+
dtype: string
|
| 156 |
+
- name: task
|
| 157 |
+
dtype: string
|
| 158 |
+
- name: prompt
|
| 159 |
+
dtype: string
|
| 160 |
+
- name: model
|
| 161 |
+
dtype: string
|
| 162 |
+
- name: ckpt_num
|
| 163 |
+
dtype: int64
|
| 164 |
+
- name: score
|
| 165 |
+
dtype: float64
|
| 166 |
+
splits:
|
| 167 |
+
- name: results
|
| 168 |
+
num_bytes: 2243240
|
| 169 |
+
num_examples: 8120
|
| 170 |
+
download_size: 99819
|
| 171 |
+
dataset_size: 2243240
|
| 172 |
+
- config_name: spa_Latn
|
| 173 |
+
features:
|
| 174 |
+
- name: corpus
|
| 175 |
+
dtype: string
|
| 176 |
+
- name: category
|
| 177 |
+
dtype: string
|
| 178 |
+
- name: dataset
|
| 179 |
+
dtype: string
|
| 180 |
+
- name: task
|
| 181 |
+
dtype: string
|
| 182 |
+
- name: prompt
|
| 183 |
+
dtype: string
|
| 184 |
+
- name: model
|
| 185 |
+
dtype: string
|
| 186 |
+
- name: ckpt_num
|
| 187 |
+
dtype: int64
|
| 188 |
+
- name: score
|
| 189 |
+
dtype: float64
|
| 190 |
+
splits:
|
| 191 |
+
- name: results
|
| 192 |
+
num_bytes: 1263252
|
| 193 |
+
num_examples: 5568
|
| 194 |
+
download_size: 60432
|
| 195 |
+
dataset_size: 1263252
|
| 196 |
+
- config_name: ukr_Cyrl
|
| 197 |
+
features:
|
| 198 |
+
- name: corpus
|
| 199 |
+
dtype: string
|
| 200 |
+
- name: category
|
| 201 |
+
dtype: string
|
| 202 |
+
- name: dataset
|
| 203 |
+
dtype: string
|
| 204 |
+
- name: task
|
| 205 |
+
dtype: string
|
| 206 |
+
- name: prompt
|
| 207 |
+
dtype: string
|
| 208 |
+
- name: model
|
| 209 |
+
dtype: string
|
| 210 |
+
- name: ckpt_num
|
| 211 |
+
dtype: int64
|
| 212 |
+
- name: score
|
| 213 |
+
dtype: float64
|
| 214 |
+
splits:
|
| 215 |
+
- name: results
|
| 216 |
+
num_bytes: 575270
|
| 217 |
+
num_examples: 1972
|
| 218 |
+
download_size: 17386
|
| 219 |
+
dataset_size: 575270
|
| 220 |
+
configs:
|
| 221 |
+
- config_name: cat_Latn
|
| 222 |
+
data_files:
|
| 223 |
+
- split: results
|
| 224 |
+
path: cat_Latn/results-*
|
| 225 |
+
- config_name: ces_Latn
|
| 226 |
+
data_files:
|
| 227 |
+
- split: results
|
| 228 |
+
path: ces_Latn/results-*
|
| 229 |
+
- config_name: eus_Latn
|
| 230 |
+
data_files:
|
| 231 |
+
- split: results
|
| 232 |
+
path: eus_Latn/results-*
|
| 233 |
+
- config_name: fin_Latn
|
| 234 |
+
data_files:
|
| 235 |
+
- split: results
|
| 236 |
+
path: fin_Latn/results-*
|
| 237 |
+
- config_name: fra_Latn
|
| 238 |
+
data_files:
|
| 239 |
+
- split: results
|
| 240 |
+
path: fra_Latn/results-*
|
| 241 |
+
- config_name: glg_Latn
|
| 242 |
+
data_files:
|
| 243 |
+
- split: results
|
| 244 |
+
path: glg_Latn/results-*
|
| 245 |
+
- config_name: nor_Latn
|
| 246 |
+
data_files:
|
| 247 |
+
- split: results
|
| 248 |
+
path: nor_Latn/results-*
|
| 249 |
+
- config_name: spa_Latn
|
| 250 |
+
data_files:
|
| 251 |
+
- split: results
|
| 252 |
+
path: spa_Latn/results-*
|
| 253 |
+
- config_name: ukr_Cyrl
|
| 254 |
+
data_files:
|
| 255 |
+
- split: results
|
| 256 |
+
path: ukr_Cyrl/results-*
|
| 257 |
+
language:
|
| 258 |
+
- es
|
| 259 |
+
- fr
|
| 260 |
+
- gl
|
| 261 |
+
- eu
|
| 262 |
+
- nb
|
| 263 |
+
- nn
|
| 264 |
+
- ca
|
| 265 |
+
- cs
|
| 266 |
+
- fi
|
| 267 |
+
- uk
|
| 268 |
+
---
|
| 269 |
+
|
| 270 |
+
|
| 271 |
+
# HPLT 3.0: Deduplication Strategy Comparison Results
|
| 272 |
+
|
| 273 |
+
|
| 274 |
+
|
| 275 |
+
### Dataset Description
|
| 276 |
+
|
| 277 |
+
This dataset contains fine-grained results from our HPLT 3.0 pre-release evaluations comparing different data deduplication stategies for the pre-HPLT 3.0 corpora with the previous HPLT 2.0 version. We compare the following data deduplication strategies to guide our design choices, and guard against data quality regression compared to HPLT 2.0: **pre-HPLT 3.0 CD** (per-crawl deduplication), **pre-HPLT 3.0 GD** (global deduplication), and **pre-HPLT 3.0 GDR** (global deduplication & rehydration). We pretrain 2.2B Llama-style decoder models on 30B tokens for each selected language and evaluate them using [HPLT-E](https://github.com/hplt-project/hplt-e/tree/main), a multilingual evaluation framework for comprehensive multi-prompt *k*-shot evaluation across 124 tasks and 500+ prompts in nine typologically diverse languages: Spanish (`spa_Latn`), French (`fra_Latn`), Czech (`ces_Latn`), Ukrainian (`ukr_Cyrl`), Finnish (`fin_Latn`), Catalan (`cat_Latn`), Galician (`glg_Latn`), Basque (`eus_Latn`), and Norwegian (Bokmål and Nynorsk; `nor_Latn`).
|
| 278 |
+
|
| 279 |
+
|
| 280 |
+
- **Curated by:** [High Performance Language Technologies (HPLT)](https://hplt-project.org)
|
| 281 |
+
- **Languages:** Spanish, French, Czech, Ukrainian, Finnish, Catalan, Galician, Basque, Norwegian Bokmål, and Norwegian Nynorsk
|
| 282 |
+
- **Paper:** [arxiv.org/abs/2511.01066](https://arxiv.org/abs/2511.01066)
|
| 283 |
+
- **Repository:** [github.com/hplt-project/hplt-e](https://github.com/hplt-project/hplt-e/tree/main)
|
| 284 |
+
- **License:** Apache 2.0
|
| 285 |
+
|
| 286 |
+
Please find more details in our paper and GitHub repository.
|
| 287 |
+
|
| 288 |
+
## Uses
|
| 289 |
+
|
| 290 |
+
This dataset is intended for reproducibility and research purposes. Find an example on how to access the results:
|
| 291 |
+
|
| 292 |
+
```python
|
| 293 |
+
from datasets import load_dataset
|
| 294 |
+
|
| 295 |
+
dataset = load_dataset("HPLT/2505-deduplication-evals", "spa_Latn", split="results").to_pandas()
|
| 296 |
+
```
|
| 297 |
+
|
| 298 |
+
|
| 299 |
+
|
| 300 |
+
## Dataset Structure
|
| 301 |
+
|
| 302 |
+
### Dataset Instances
|
| 303 |
+
|
| 304 |
+
Each dataset instance looks as follows:
|
| 305 |
+
|
| 306 |
+
```python
|
| 307 |
+
{
|
| 308 |
+
'corpus': 'HPLT 2.0',
|
| 309 |
+
'category': 'Commonsense reasoning',
|
| 310 |
+
'dataset': 'xstorycloze_es',
|
| 311 |
+
'task': 'xstorycloze_es_p2',
|
| 312 |
+
'prompt': "{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4] | join(' ') }}\n¿Qué ocurre después?\nA. {{ sentence_quiz1}} \nB. {{sentence_quiz2}}\nRespuesta:",
|
| 313 |
+
'model': '1B',
|
| 314 |
+
'ckpt_num': 500,
|
| 315 |
+
'score': 52.813}
|
| 316 |
+
}
|
| 317 |
+
```
|
| 318 |
+
|
| 319 |
+
### Dataset Fields
|
| 320 |
+
|
| 321 |
+
- `corpus`: corpus name (`pre-HPLT 3.0 CD`, `pre-HPLT 3.0 GD`, `pre-HPLT 3.0 GDR`, `HPLT 2.0`)
|
| 322 |
+
- `category`: task category
|
| 323 |
+
- `dataset`: evaluation dataset name
|
| 324 |
+
- `task`: evaluation task (refers to a specific prompt)
|
| 325 |
+
- `prompt`: prompt used for evaluation
|
| 326 |
+
- `model`: number of pretraining tokens (B)
|
| 327 |
+
- `ckpt_num`: number identifier for `model`
|
| 328 |
+
- `score`: standard metric performance score
|
| 329 |
+
|
| 330 |
+
|
| 331 |
+
## Cite Us
|
| 332 |
+
|
| 333 |
+
|
| 334 |
+
```
|
| 335 |
+
@article{oepen2025hplt,
|
| 336 |
+
title={HPLT\~{} 3.0: Very Large-Scale Multilingual Resources for LLM and MT. Mono-and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models},
|
| 337 |
+
author={Oepen, Stephan and Arefev, Nikolay and Aulamo, Mikko and Ba{\~n}{\'o}n, Marta and Buljan, Maja and Burchell, Laurie and Charpentier, Lucas and Chen, Pinzhen and Fedorova, Mariya and de Gibert, Ona and others},
|
| 338 |
+
journal={arXiv preprint arXiv:2511.01066},
|
| 339 |
+
year={2025}
|
| 340 |
+
}
|
| 341 |
+
```
|
| 342 |
+
|
| 343 |
+
|
| 344 |
+
## Contact Us
|
| 345 |
+
|
| 346 |
+
* Vladislav Mikhailov [vladism@ifi.uio.no](vladism@ifi.uio.no)
|
| 347 |
+
* Stephan Oepen [oe@ifi.uio.no](oe@ifi.uio.no)
|