Upload madlad-400.py
Browse files- madlad-400.py +519 -0
madlad-400.py
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| 1 |
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"""madlad-400 dataset"""
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| 2 |
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| 3 |
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| 4 |
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import gzip
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| 5 |
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import json
|
| 6 |
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| 7 |
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import datasets
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| 8 |
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| 9 |
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| 10 |
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logger = datasets.logging.get_logger(__name__)
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| 11 |
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| 12 |
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| 13 |
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_DESCRIPTION = """\
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| 14 |
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| 15 |
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"""
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| 16 |
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| 17 |
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_CITATION = """
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| 18 |
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| 19 |
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"""
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| 20 |
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| 21 |
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# _URL = "https://github.com/allenai/allennlp/discussions/5056"
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| 22 |
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| 23 |
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_DATA_URL = "https://huggingface.co/datasets/drschwenk/MADLAD-400/resolve/ecd71297d60c1eb996cd3d7c44c60ad5b55adfc6/data/{language}/{language}_{split}_{index:04d}.jsonl.gz"
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| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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_N_SHARDS_PER_SPLIT = {
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| 29 |
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'abt': {'clean': 1, 'noisy': 1},
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| 30 |
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'ace': {'clean': 1, 'noisy': 1},
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| 31 |
+
'acf': {'clean': 1, 'noisy': 1},
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| 32 |
+
'ach': {'clean': 1, 'noisy': 1},
|
| 33 |
+
'ada': {'clean': 1, 'noisy': 1},
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| 34 |
+
'adh': {'clean': 1, 'noisy': 1},
|
| 35 |
+
'ady': {'clean': 1, 'noisy': 1},
|
| 36 |
+
'af': {'clean': 1, 'noisy': 2},
|
| 37 |
+
'agr': {'clean': 1, 'noisy': 1},
|
| 38 |
+
'ahk': {'clean': 1, 'noisy': 1},
|
| 39 |
+
'ak': {'clean': 1, 'noisy': 1},
|
| 40 |
+
'akb': {'clean': 1, 'noisy': 1},
|
| 41 |
+
'alt': {'clean': 1, 'noisy': 1},
|
| 42 |
+
'alz': {'clean': 1, 'noisy': 1},
|
| 43 |
+
'am': {'clean': 1, 'noisy': 1},
|
| 44 |
+
'amu': {'clean': 1, 'noisy': 1},
|
| 45 |
+
'ang': {'clean': 1, 'noisy': 1},
|
| 46 |
+
'ann': {'clean': 1, 'noisy': 1},
|
| 47 |
+
'ape': {'clean': 1, 'noisy': 1},
|
| 48 |
+
'ar': {'clean': 8, 'noisy': 44},
|
| 49 |
+
'arn': {'clean': 1, 'noisy': 1},
|
| 50 |
+
'as': {'clean': 1, 'noisy': 1},
|
| 51 |
+
'av': {'clean': 1, 'noisy': 1},
|
| 52 |
+
'awa': {'clean': 1, 'noisy': 1},
|
| 53 |
+
'ay': {'clean': 1, 'noisy': 1},
|
| 54 |
+
'az': {'clean': 2, 'noisy': 3},
|
| 55 |
+
'az_RU': {'clean': 1, 'noisy': 1},
|
| 56 |
+
'ba': {'clean': 1, 'noisy': 1},
|
| 57 |
+
'ban': {'clean': 1, 'noisy': 1},
|
| 58 |
+
'bas': {'clean': 1, 'noisy': 1},
|
| 59 |
+
'bbc': {'clean': 1, 'noisy': 1},
|
| 60 |
+
'bci': {'clean': 1, 'noisy': 1},
|
| 61 |
+
'be': {'clean': 1, 'noisy': 2},
|
| 62 |
+
'ber': {'clean': 1, 'noisy': 1},
|
| 63 |
+
'ber_Latn': {'clean': 1, 'noisy': 1},
|
| 64 |
+
'bew': {'clean': 1, 'noisy': 1},
|
| 65 |
+
'bg': {'clean': 10, 'noisy': 16},
|
| 66 |
+
'bg_Latn': {'clean': 1, 'noisy': 1},
|
| 67 |
+
'bgp': {'clean': 1, 'noisy': 1},
|
| 68 |
+
'bho': {'clean': 1, 'noisy': 1},
|
| 69 |
+
'bi': {'clean': 1, 'noisy': 1},
|
| 70 |
+
'bik': {'clean': 1, 'noisy': 1},
|
| 71 |
+
'bim': {'clean': 1, 'noisy': 1},
|
| 72 |
+
'bm': {'clean': 1, 'noisy': 1},
|
| 73 |
+
'bn': {'clean': 1, 'noisy': 4},
|
| 74 |
+
'bn_Latn': {'clean': 1, 'noisy': 1},
|
| 75 |
+
'bo': {'clean': 1, 'noisy': 1},
|
| 76 |
+
'bqc': {'clean': 1, 'noisy': 1},
|
| 77 |
+
'br': {'clean': 1, 'noisy': 1},
|
| 78 |
+
'bru': {'clean': 1, 'noisy': 1},
|
| 79 |
+
'brx': {'clean': 1, 'noisy': 1},
|
| 80 |
+
'bs': {'clean': 1, 'noisy': 6},
|
| 81 |
+
'bts': {'clean': 1, 'noisy': 1},
|
| 82 |
+
'btx': {'clean': 1, 'noisy': 1},
|
| 83 |
+
'bua': {'clean': 1, 'noisy': 1},
|
| 84 |
+
'bum': {'clean': 1, 'noisy': 1},
|
| 85 |
+
'bus': {'clean': 1, 'noisy': 1},
|
| 86 |
+
'bzj': {'clean': 1, 'noisy': 1},
|
| 87 |
+
'ca': {'clean': 5, 'noisy': 8},
|
| 88 |
+
'cab': {'clean': 1, 'noisy': 1},
|
| 89 |
+
'cac': {'clean': 1, 'noisy': 1},
|
| 90 |
+
'cak': {'clean': 1, 'noisy': 1},
|
| 91 |
+
'cbk': {'clean': 1, 'noisy': 1},
|
| 92 |
+
'cce': {'clean': 1, 'noisy': 1},
|
| 93 |
+
'ce': {'clean': 1, 'noisy': 1},
|
| 94 |
+
'ceb': {'clean': 1, 'noisy': 1},
|
| 95 |
+
'cfm': {'clean': 1, 'noisy': 1},
|
| 96 |
+
'ch': {'clean': 1, 'noisy': 1},
|
| 97 |
+
'chk': {'clean': 1, 'noisy': 1},
|
| 98 |
+
'chm': {'clean': 1, 'noisy': 1},
|
| 99 |
+
'chr': {'clean': 1, 'noisy': 1},
|
| 100 |
+
'ckb': {'clean': 1, 'noisy': 1},
|
| 101 |
+
'cnh': {'clean': 1, 'noisy': 1},
|
| 102 |
+
'co': {'clean': 1, 'noisy': 1},
|
| 103 |
+
'cr_Latn': {'clean': 1, 'noisy': 1},
|
| 104 |
+
'crh': {'clean': 1, 'noisy': 1},
|
| 105 |
+
'crs': {'clean': 1, 'noisy': 1},
|
| 106 |
+
'cs': {'clean': 23, 'noisy': 44},
|
| 107 |
+
'ctd_Latn': {'clean': 1, 'noisy': 1},
|
| 108 |
+
'ctu': {'clean': 1, 'noisy': 1},
|
| 109 |
+
'cuk': {'clean': 1, 'noisy': 1},
|
| 110 |
+
'cv': {'clean': 1, 'noisy': 1},
|
| 111 |
+
'cy': {'clean': 1, 'noisy': 4},
|
| 112 |
+
'da': {'clean': 11, 'noisy': 36},
|
| 113 |
+
'de': {'clean': 133, 'noisy': 293},
|
| 114 |
+
'din': {'clean': 1, 'noisy': 1},
|
| 115 |
+
'dje': {'clean': 1, 'noisy': 1},
|
| 116 |
+
'djk': {'clean': 1, 'noisy': 1},
|
| 117 |
+
'dln': {'clean': 1, 'noisy': 1},
|
| 118 |
+
'doi': {'clean': 1, 'noisy': 1},
|
| 119 |
+
'dov': {'clean': 1, 'noisy': 1},
|
| 120 |
+
'dtp': {'clean': 1, 'noisy': 1},
|
| 121 |
+
'dv': {'clean': 1, 'noisy': 1},
|
| 122 |
+
'dwr': {'clean': 1, 'noisy': 1},
|
| 123 |
+
'dyu': {'clean': 1, 'noisy': 1},
|
| 124 |
+
'dz': {'clean': 1, 'noisy': 1},
|
| 125 |
+
'ee': {'clean': 1, 'noisy': 1},
|
| 126 |
+
'el': {'clean': 14, 'noisy': 29},
|
| 127 |
+
'el_Latn': {'clean': 1, 'noisy': 1},
|
| 128 |
+
'emp': {'clean': 1, 'noisy': 1},
|
| 129 |
+
'en': {'clean': 947, 'noisy': 1555},
|
| 130 |
+
'enq': {'clean': 1, 'noisy': 1},
|
| 131 |
+
'eo': {'clean': 1, 'noisy': 1},
|
| 132 |
+
'es': {'clean': 137, 'noisy': 269},
|
| 133 |
+
'et': {'clean': 4, 'noisy': 6},
|
| 134 |
+
'eu': {'clean': 1, 'noisy': 1},
|
| 135 |
+
'fa': {'clean': 16, 'noisy': 35},
|
| 136 |
+
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|
| 137 |
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|
| 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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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 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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| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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| 197 |
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| 198 |
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|
| 199 |
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|
| 200 |
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|
| 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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|
| 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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|
| 213 |
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| 214 |
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| 215 |
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| 216 |
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| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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| 231 |
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| 232 |
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|
| 233 |
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| 234 |
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| 235 |
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| 236 |
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| 237 |
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| 238 |
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| 239 |
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|
| 240 |
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| 241 |
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| 242 |
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|
| 243 |
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|
| 244 |
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|
| 245 |
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|
| 246 |
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|
| 247 |
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|
| 248 |
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|
| 249 |
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|
| 250 |
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|
| 252 |
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| 253 |
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| 254 |
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| 255 |
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| 256 |
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| 258 |
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| 259 |
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|
| 260 |
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| 261 |
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| 262 |
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| 263 |
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| 264 |
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| 265 |
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| 266 |
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| 267 |
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| 268 |
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| 270 |
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| 273 |
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|
| 274 |
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| 275 |
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| 279 |
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| 280 |
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| 281 |
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| 282 |
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|
| 283 |
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| 284 |
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| 285 |
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| 286 |
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| 287 |
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| 288 |
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|
| 289 |
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| 290 |
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|
| 291 |
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| 292 |
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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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|
| 298 |
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|
| 299 |
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|
| 300 |
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|
| 301 |
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| 302 |
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| 303 |
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| 304 |
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| 305 |
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| 309 |
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| 310 |
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| 314 |
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| 315 |
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| 317 |
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| 318 |
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| 319 |
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| 320 |
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|
| 321 |
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|
| 322 |
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|
| 323 |
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| 324 |
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|
| 325 |
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|
| 326 |
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|
| 327 |
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|
| 328 |
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|
| 329 |
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|
| 330 |
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|
| 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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| 336 |
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| 337 |
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|
| 338 |
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|
| 339 |
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|
| 340 |
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|
| 341 |
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|
| 342 |
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|
| 343 |
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|
| 344 |
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|
| 345 |
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|
| 346 |
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| 347 |
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|
| 348 |
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|
| 349 |
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|
| 350 |
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|
| 351 |
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|
| 352 |
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|
| 353 |
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|
| 354 |
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|
| 355 |
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|
| 356 |
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| 357 |
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| 358 |
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| 359 |
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| 360 |
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|
| 361 |
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|
| 362 |
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|
| 363 |
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|
| 364 |
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|
| 365 |
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|
| 366 |
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|
| 367 |
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|
| 368 |
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|
| 369 |
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|
| 370 |
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|
| 371 |
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|
| 372 |
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| 373 |
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|
| 374 |
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|
| 375 |
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| 376 |
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|
| 377 |
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|
| 378 |
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|
| 379 |
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|
| 380 |
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|
| 381 |
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|
| 382 |
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|
| 383 |
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|
| 384 |
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|
| 385 |
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|
| 386 |
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|
| 387 |
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|
| 388 |
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|
| 389 |
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| 390 |
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|
| 391 |
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|
| 392 |
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|
| 393 |
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|
| 394 |
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|
| 395 |
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|
| 396 |
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|
| 397 |
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|
| 398 |
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|
| 399 |
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|
| 400 |
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|
| 401 |
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|
| 402 |
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|
| 403 |
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|
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|
| 405 |
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|
| 406 |
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|
| 407 |
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|
| 408 |
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|
| 409 |
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|
| 410 |
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|
| 411 |
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|
| 412 |
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| 413 |
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| 414 |
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| 415 |
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|
| 416 |
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| 417 |
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|
| 418 |
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|
| 419 |
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|
| 420 |
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|
| 421 |
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| 422 |
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| 423 |
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| 424 |
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|
| 425 |
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|
| 426 |
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|
| 427 |
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|
| 428 |
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|
| 429 |
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|
| 430 |
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|
| 431 |
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|
| 432 |
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|
| 433 |
+
'war': {'clean': 1, 'noisy': 1},
|
| 434 |
+
'wo': {'clean': 1, 'noisy': 1},
|
| 435 |
+
'xal': {'clean': 1, 'noisy': 1},
|
| 436 |
+
'xh': {'clean': 1, 'noisy': 1},
|
| 437 |
+
'yap': {'clean': 1, 'noisy': 1},
|
| 438 |
+
'yi': {'clean': 1, 'noisy': 1},
|
| 439 |
+
'yo': {'clean': 1, 'noisy': 1},
|
| 440 |
+
'yua': {'clean': 1, 'noisy': 1},
|
| 441 |
+
'zap': {'clean': 1, 'noisy': 1},
|
| 442 |
+
'zh': {'clean': 40, 'noisy': 69},
|
| 443 |
+
'zh_Latn': {'clean': 1, 'noisy': 1},
|
| 444 |
+
'zne': {'clean': 1, 'noisy': 1},
|
| 445 |
+
'zu': {'clean': 1, 'noisy': 1},
|
| 446 |
+
'zxx_xx_dtynoise': {'clean': 1, 'noisy': 1},
|
| 447 |
+
'zza': {'clean': 1, 'noisy': 1}
|
| 448 |
+
}
|
| 449 |
+
|
| 450 |
+
_LANGUAGES = list(_N_SHARDS_PER_SPLIT.keys())
|
| 451 |
+
|
| 452 |
+
class Madlad400Config(datasets.BuilderConfig):
|
| 453 |
+
"""BuilderConfig for madlad-400."""
|
| 454 |
+
|
| 455 |
+
def __init__(self, *args, languages, **kwargs):
|
| 456 |
+
"""BuilderConfig for Madlad400.
|
| 457 |
+
Args:
|
| 458 |
+
languages (:obj:`List[str]`): list of languages to load
|
| 459 |
+
**kwargs: keyword arguments forwarded to super.
|
| 460 |
+
"""
|
| 461 |
+
super().__init__(
|
| 462 |
+
*args,
|
| 463 |
+
name="+".join(languages),
|
| 464 |
+
**kwargs,
|
| 465 |
+
)
|
| 466 |
+
self.languages = languages
|
| 467 |
+
|
| 468 |
+
|
| 469 |
+
class Madlad400(datasets.GeneratorBasedBuilder):
|
| 470 |
+
"""Madlad400,"""
|
| 471 |
+
|
| 472 |
+
BUILDER_CONFIGS = [Madlad400Config(languages=[lang]) for lang in _LANGUAGES]
|
| 473 |
+
BUILDER_CONFIG_CLASS = Madlad400Config
|
| 474 |
+
|
| 475 |
+
def _info(self):
|
| 476 |
+
return datasets.DatasetInfo(
|
| 477 |
+
description=_DESCRIPTION,
|
| 478 |
+
features=datasets.Features(
|
| 479 |
+
{
|
| 480 |
+
"text": datasets.Value("string"),
|
| 481 |
+
}
|
| 482 |
+
),
|
| 483 |
+
supervised_keys=None,
|
| 484 |
+
homepage='',
|
| 485 |
+
citation=_CITATION,
|
| 486 |
+
)
|
| 487 |
+
|
| 488 |
+
def _split_generators(self, dl_manager):
|
| 489 |
+
data_urls = {}
|
| 490 |
+
for split in ["clean", "noisy"]:
|
| 491 |
+
data_urls[split] = [
|
| 492 |
+
_DATA_URL.format(
|
| 493 |
+
split=split,
|
| 494 |
+
language=lang,
|
| 495 |
+
index=index,
|
| 496 |
+
)
|
| 497 |
+
for lang in self.config.languages
|
| 498 |
+
for index in range(_N_SHARDS_PER_SPLIT[lang][split])
|
| 499 |
+
]
|
| 500 |
+
clean_downloaded_files = dl_manager.download(data_urls['clean'])
|
| 501 |
+
noisy_downloaded_files = dl_manager.download(data_urls['noisy'])
|
| 502 |
+
return [
|
| 503 |
+
datasets.SplitGenerator(name="clean", gen_kwargs={"filepaths": clean_downloaded_files}),
|
| 504 |
+
datasets.SplitGenerator(
|
| 505 |
+
name="noisy", gen_kwargs={"filepaths": noisy_downloaded_files}
|
| 506 |
+
),
|
| 507 |
+
]
|
| 508 |
+
|
| 509 |
+
def _generate_examples(self, filepaths):
|
| 510 |
+
"""This function returns the examples in the raw (text) form by iterating over the provided files."""
|
| 511 |
+
id_ = 0
|
| 512 |
+
for filepath in filepaths:
|
| 513 |
+
logger.info("generating examples from = %s", filepath)
|
| 514 |
+
with gzip.open(open(filepath, "rb"), "rt", encoding="utf-8") as f:
|
| 515 |
+
for line in f:
|
| 516 |
+
if line:
|
| 517 |
+
example = json.loads(line)
|
| 518 |
+
yield id_, example
|
| 519 |
+
id_ += 1
|