Datasets:
fix some readme information
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README.md
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The corpus for the author profiling analysis contains texts in Russian-language which labeled for 5 tasks:
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1) gender -- 13530 texts with the labels, who wrote this: text female or male;
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2) age -- 13530 texts with the labels, how old the person who wrote the text. This is a number from 12 to 80. In addition, for the classification task we added 5 age groups: 1-19; 20-29; 30-39; 40-49; 50+;
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4) gender imitation -- 5956 texts, where the crowdsource authors is asked to write texts: in their origin gender and pretending to be the opposite gender;
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5) style imitation -- 5956 texts, where crowdsource authors is asked to write a text on behalf of another person of your own gender, with a distortion of the authors usual style.
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#### Here are some statistics:
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1. For Train file:
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No. of documents -- 9586
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No. of unique texts -- 9586
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Text length in characters -- min: 103, max: 12763, mean: 498.1
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No. of documents written -- by men: 4767, by women: 4819
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No. of unique accounts -- 3054
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No. of unique authors -- 3230; men: 1255, women: 1975
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Age of the authors -- min: 12, max: 80, mean: 31.1
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No. of documents by age group -- 1-19: 734, 20-29: 4477, 30-39: 2604, 40-49: 1063,50+: 708
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No. of documents with gender imitation: 1392; without imitation: 2827; not applicable: 5367
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No. of documents with age imitation -- younger: 1777; older: 1787; without imitation: 1803; not applicable: 4219
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No. of documents with style imitation: 1412; without imitation: 2807; not applicable: 5367.
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2. For Valid file:
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No. of documents -- 1368
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No. of unique texts -- 1368
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Text length in characters -- min: 199, max: 2982, mean: 497.9
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No. of documents written -- by men: 705, by women: 663
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No. of unique accounts -- 437
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No. of unique authors -- 461; men: 184, women: 277
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Age of the authors -- min: 14, max: 78, mean: 32.4
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No. of documents by age group -- 1-19: 88, 20-29: 510, 30-39: 457, 40-49: 242, 50+: 71
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No. of documents with gender imitation: 213; without imitation: 425; not applicable: 730
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No. of documents with age imitation -- younger: 243; older: 236; without imitation: 251; not applicable: 638
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No. of documents with style imitation: 212; without imitation: 426; not applicable: 730.
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3. For Test file:
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No. of documents -- 2576
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No. of unique texts -- 2576
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Text length in characters -- min: 200, max: 3262, mean: 503.3
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No. of documents written -- by men: 1293, by women: 1283
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No. of unique accounts -- 873
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No. of unique authors -- 915; men: 357, women: 558
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Age of the authors -- min: 13, max: 71, mean: 30.4
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No. of documents by age group -- 1-19: 253, 20-29: 1163, 30-39: 713, 40-49: 292, 50+: 155
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No. of documents with gender imitation: 356; without imitation: 743; not applicable: 1477
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No. of documents with age imitation -- younger: 497; older: 483; without imitation: 497; not applicable: 1099
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No. of documents with style imitation: 371; without imitation: 728; not applicable: 1477.
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### Supported Tasks and Leaderboards
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{
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'id': 'crowdsource_4916',
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'text': 'Ты очень симпатичный, Я давно не с кем не встречалась. Ты мне сильно понравился, ты умный интересный и удивительный, приходи ко мне в гости , у меня есть вкусное вино , и приготовлю вкусный ужин, посидим пообщаемся, узнаем друг друга поближе.',
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'account_id': '
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'author_id': 'author_#504'
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'age': 22,
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'age_group': '20-29',
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'gender': 'male',
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'no_imitation': 0,
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'age_imitation': nan,
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'gender_imitation': 1.0,
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'style_imitation': 0.0
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'meta': {
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'Unnamed: 0': 4915,
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'age': 22,
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'doc_ind': 2408,
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'gender': 1,
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'imitation_type': 'gender_im',
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'source': 'gender_imit_crowdsource',
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'user_id': '996ff96ebe8c0c51116f32bff0a55bf0',
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'doc_id':
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'id_gender_imit_cs_4916'
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},
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}
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```
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The corpus for the author profiling analysis contains texts in Russian-language which labeled for 5 tasks:
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1) gender -- 13530 texts with the labels, who wrote this: text female or male;
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+
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2) age -- 13530 texts with the labels, how old the person who wrote the text. This is a number from 12 to 80. In addition, for the classification task we added 5 age groups: 1-19; 20-29; 30-39; 40-49; 50+;
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3) age imitation -- 7574 texts, where crowdsource authors is asked to write three texts:
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a) in their natural manner,
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b) imitating the style of someone younger,
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c) imitating the style of someone older;
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4) gender imitation -- 5956 texts, where the crowdsource authors is asked to write texts: in their origin gender and pretending to be the opposite gender;
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5) style imitation -- 5956 texts, where crowdsource authors is asked to write a text on behalf of another person of your own gender, with a distortion of the authors usual style.
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#### Here are some statistics:
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1. For Train file:
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- No. of documents -- 9586;
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- No. of unique texts -- 9586;
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- Text length in characters -- min: 103, max: 12763, mean: 498.1;
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- No. of documents written -- by men: 4767, by women: 4819;
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- No. of unique accounts -- 3054;
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- No. of unique authors -- 3230; men: 1255, women: 1975;
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- Age of the authors -- min: 12, max: 80, mean: 31.1;
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- No. of documents by age group -- 1-19: 734, 20-29: 4477, 30-39: 2604, 40-49: 1063,50+: 708;
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- No. of documents with gender imitation: 1392; without imitation: 2827; not applicable: 5367;
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- No. of documents with age imitation -- younger: 1777; older: 1787; without imitation: 1803; not applicable: 4219;
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- No. of documents with style imitation: 1412; without imitation: 2807; not applicable: 5367.
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2. For Valid file:
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- No. of documents -- 1368;
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- No. of unique texts -- 1368;
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- Text length in characters -- min: 199, max: 2982, mean: 497.9;
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- No. of documents written -- by men: 705, by women: 663;
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- No. of unique accounts -- 437;
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- No. of unique authors -- 461; men: 184, women: 277;
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- Age of the authors -- min: 14, max: 78, mean: 32.4;
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- No. of documents by age group -- 1-19: 88, 20-29: 510, 30-39: 457, 40-49: 242, 50+: 71;
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- No. of documents with gender imitation: 213; without imitation: 425; not applicable: 730;
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- No. of documents with age imitation -- younger: 243; older: 236; without imitation: 251; not applicable: 638;
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- No. of documents with style imitation: 212; without imitation: 426; not applicable: 730.
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3. For Test file:
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- No. of documents -- 2576;
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- No. of unique texts -- 2576;
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- Text length in characters -- min: 200, max: 3262, mean: 503.3;
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- No. of documents written -- by men: 1293, by women: 1283;
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- No. of unique accounts -- 873;
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- No. of unique authors -- 915; men: 357, women: 558;
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- Age of the authors -- min: 13, max: 71, mean: 30.4;
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- No. of documents by age group -- 1-19: 253, 20-29: 1163, 30-39: 713, 40-49: 292, 50+: 155;
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- No. of documents with gender imitation: 356; without imitation: 743; not applicable: 1477;
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- No. of documents with age imitation -- younger: 497; older: 483; without imitation: 497; not applicable: 1099;
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- No. of documents with style imitation: 371; without imitation: 728; not applicable: 1477.
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### Supported Tasks and Leaderboards
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{
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'id': 'crowdsource_4916',
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'text': 'Ты очень симпатичный, Я давно не с кем не встречалась. Ты мне сильно понравился, ты умный интересный и удивительный, приходи ко мне в гости , у меня есть вкусное вино , и приготовлю вкусный ужин, посидим пообщаемся, узнаем друг друга поближе.',
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'account_id': 'account_#9',
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'author_id': 'author_#504',
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'age': 22,
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'age_group': '20-29',
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'gender': 'male',
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'no_imitation': 0,
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'age_imitation': nan,
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'gender_imitation': 1.0,
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'style_imitation': 0.0
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}
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```
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