--- dataset_info: features: - name: question_id dtype: int64 - name: text dtype: string - name: metadata sequence: string - name: date dtype: string - name: original_text sequence: string splits: - name: 3dprinting.meta num_bytes: 969521 num_examples: 172 - name: 3dprinting num_bytes: 24134685 num_examples: 4285 - name: academia.meta num_bytes: 6877175 num_examples: 1139 - name: academia num_bytes: 280484682 num_examples: 37355 - name: ai.meta num_bytes: 1415694 num_examples: 258 - name: ai num_bytes: 39679129 num_examples: 6428 - name: android.meta num_bytes: 3569499 num_examples: 811 - name: android num_bytes: 105562019 num_examples: 29426 - name: anime.meta num_bytes: 6297025 num_examples: 757 - name: anime num_bytes: 46082709 num_examples: 10459 - name: apple.meta num_bytes: 5615240 num_examples: 1284 - name: apple num_bytes: 356262303 num_examples: 93807 - name: arduino.meta num_bytes: 1292979 num_examples: 210 - name: arduino num_bytes: 112001939 num_examples: 17621 - name: askubuntu num_bytes: 971092630 num_examples: 210935 - 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name: boardgames num_bytes: 67673412 num_examples: 12837 - name: boardgames.meta num_bytes: 3317118 num_examples: 600 - name: bricks num_bytes: 14802417 num_examples: 4051 - name: bricks.meta num_bytes: 833732 num_examples: 177 - name: buddhism num_bytes: 82178265 num_examples: 7813 - name: buddhism.meta num_bytes: 2981877 num_examples: 394 - name: cardano num_bytes: 7700987 num_examples: 1921 - name: cardano.meta num_bytes: 89639 num_examples: 31 - name: chemistry num_bytes: 168737624 num_examples: 31998 - name: chemistry.meta num_bytes: 7584719 num_examples: 896 - name: chess num_bytes: 51333989 num_examples: 7961 - name: chess.meta num_bytes: 1315028 num_examples: 319 - name: chinese num_bytes: 48445262 num_examples: 10392 - name: chinese.meta num_bytes: 1831233 num_examples: 266 - name: christianity num_bytes: 180265513 num_examples: 14275 - name: christianity.meta num_bytes: 11049191 num_examples: 1459 - name: civicrm num_bytes: 39890004 num_examples: 11627 - name: civicrm.meta num_bytes: 189909 num_examples: 55 - 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name: drupal num_bytes: 213233526 num_examples: 52895 - name: drupal.meta num_bytes: 3472796 num_examples: 855 - name: dsp num_bytes: 113250728 num_examples: 18716 - name: dsp.meta num_bytes: 1093320 num_examples: 252 - name: earthscience num_bytes: 30663499 num_examples: 5072 - name: earthscience.meta num_bytes: 1423902 num_examples: 260 - name: ebooks num_bytes: 4968076 num_examples: 1096 - name: ebooks.meta num_bytes: 353515 num_examples: 83 - name: economics num_bytes: 62547134 num_examples: 10419 - name: economics.meta num_bytes: 1900965 num_examples: 361 - name: electronics num_bytes: 808805843 num_examples: 146603 - name: electronics.meta num_bytes: 8413218 num_examples: 1524 - name: elementaryos num_bytes: 14559687 num_examples: 4764 - name: elementaryos.meta num_bytes: 274447 num_examples: 84 - name: ell num_bytes: 302492242 num_examples: 87368 - name: ell.meta num_bytes: 7522360 num_examples: 1028 - name: emacs num_bytes: 80530802 num_examples: 17948 - name: emacs.meta num_bytes: 1087886 num_examples: 167 - name: engineering num_bytes: 51689314 num_examples: 10003 - name: engineering.meta num_bytes: 1449090 num_examples: 192 - name: english num_bytes: 492995738 num_examples: 105935 - name: english.meta num_bytes: 21614927 num_examples: 3099 - name: eosio num_bytes: 5830515 num_examples: 1673 - name: eosio.meta num_bytes: 57250 num_examples: 18 - name: esperanto num_bytes: 6855965 num_examples: 1590 - name: esperanto.meta num_bytes: 271262 num_examples: 60 - name: ethereum num_bytes: 125688443 num_examples: 28082 - name: ethereum.meta num_bytes: 1050665 num_examples: 220 - name: expatriates num_bytes: 24242544 num_examples: 5380 - name: expatriates.meta num_bytes: 741597 num_examples: 127 - name: expressionengine num_bytes: 32840411 num_examples: 8724 - name: expressionengine.meta num_bytes: 502290 num_examples: 96 - name: fitness num_bytes: 52620825 num_examples: 8725 - name: fitness.meta num_bytes: 1226117 num_examples: 269 - name: freelancing num_bytes: 12399535 num_examples: 1821 - name: freelancing.meta num_bytes: 561277 num_examples: 105 - name: french num_bytes: 62640806 num_examples: 12388 - name: french.meta num_bytes: 1922891 num_examples: 252 - name: gamedev num_bytes: 259034042 num_examples: 40765 - name: gamedev.meta num_bytes: 4560436 num_examples: 821 - name: gaming num_bytes: 295923805 num_examples: 87267 - name: gaming.meta num_bytes: 20416147 num_examples: 3670 - name: gardening num_bytes: 62627081 num_examples: 14131 - name: gardening.meta num_bytes: 1519538 num_examples: 291 - name: genealogy num_bytes: 23674925 num_examples: 3153 - name: genealogy.meta num_bytes: 3026554 num_examples: 376 - name: german num_bytes: 83782515 num_examples: 16043 - name: german.meta num_bytes: 3293147 num_examples: 497 - name: gis num_bytes: 503675948 num_examples: 108159 download_size: 5494941493 dataset_size: 10449244179 --- # Dataset Card for "StackExchange_Mar2023" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)