update README

README.md

@@ -58,18 +58,18 @@ task_ids:
 ### Dataset Summary
 
 The corpus for the author profiling analysis contains texts in Russian-language which labeled for 5 tasks:
-1) gender -- 13530 texts with the labels, who wrote this: text female or male;
+1) gender -- 13448 texts with the labels, who wrote this: text female or male;
 
-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: 0-19; 20-29; 30-39; 40-49; 50+;
+2) age -- 13448 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: 0-19; 20-29; 30-39; 40-49; 50+;
 
-3) age imitation -- 7574 texts, where crowdsource authors is asked to write three texts: 
+3) age imitation -- 8460 texts, where crowdsource authors is asked to write three texts: 
   a) in their natural manner, 
   b) imitating the style of someone younger, 
   c) imitating the style of someone older;
 
-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;
+4) gender imitation -- 4988 texts, where the crowdsource authors is asked to write texts: in their origin gender and pretending to be the opposite gender;
 
-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.
+5) style imitation -- 4988 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.
 
 
 Dataset is collected sing the Yandex.Toloka service [link](https://toloka.yandex.ru/en).
@@ -103,43 +103,40 @@ test_df = load_dataset('sagteam/author_profiling', split='test')
 #### Here are some statistics:
 
 1. For Train file: 
-- No. of documents -- 9586;
-- No. of unique texts -- 9586;
-- Text length in characters -- min: 103, max: 12763, mean: 498.1;
-- No. of documents written -- by men: 4767, by women: 4819;
-- No. of unique accounts -- 3054;
-- No. of unique authors -- 3230; men: 1255, women: 1975;
-- Age of the authors -- min: 12, max: 80, mean: 31.1;
-- No. of documents by age group -- 1-19: 734, 20-29: 4477, 30-39: 2604, 40-49: 1063,50+: 708;
-- No. of documents with gender imitation: 1392; without imitation: 2827; not applicable: 5367;
-- No. of documents with age imitation -- younger: 1777; older: 1787; without imitation: 1803; not applicable: 4219;
-- No. of documents with style imitation: 1412; without imitation: 2807; not applicable: 5367.
+- No. of documents -- 9564;
+- No. of unique texts -- 9553;
+- Text length in characters -- min: 197, max: 2984, mean: 500.5;
+- No. of documents written -- by men: 4704, by women: 4860;
+- No. of unique authors -- 2344; men: 1172, women: 1172;
+- Age of the authors -- min: 13, max: 80, mean: 31.2;
+- No. of documents by age group -- 0-19: 813, 20-29: 4188, 30-39: 2697, 40-49: 1194, 50+: 672;
+- No. of documents with gender imitation: 1215; without gender imitation: 2430; not applicable: 5919;
+- No. of documents with age imitation -- younger: 1973; older: 1973; without age imitation: 1973; not applicable: 3645;
+- No. of documents with style imitation: 1215; without style imitation: 2430; not applicable: 5919.
 
 2. For Valid file: 
-- No. of documents -- 1368;
-- No. of unique texts -- 1368;
-- Text length in characters -- min: 199, max: 2982, mean: 497.9;
-- No. of documents written -- by men: 705, by women: 663;
-- No. of unique accounts -- 437;
-- No. of unique authors -- 461; men: 184, women: 277;
-- Age of the authors -- min: 14, max: 78, mean: 32.4;
-- No. of documents by age group -- 1-19: 88, 20-29: 510, 30-39: 457, 40-49: 242, 50+: 71;
-- No. of documents with gender imitation: 213; without imitation: 425; not applicable: 730;
-- No. of documents with age imitation -- younger: 243; older: 236; without imitation: 251; not applicable: 638;
-- No. of documents with style imitation: 212; without imitation: 426; not applicable: 730.
+- No. of documents -- 1320;
+- No. of unique texts -- 1316;
+- Text length in characters -- min: 200, max: 2809, mean: 520.8;
+- No. of documents written -- by men: 633, by women: 687;
+- No. of unique authors -- 336; men: 168, women: 168;
+- Age of the authors -- min: 15, max: 79, mean: 32.2;
+- No. of documents by age group -- 1-19: 117, 20-29: 570, 30-39: 339, 40-49: 362, 50+: 132;
+- No. of documents with gender imitation: 156; without gender imitation: 312; not applicable: 852;
+- No. of documents with age imitation -- younger: 284; older: 284; without age imitation: 284; not applicable: 468;
+- No. of documents with style imitation: 156; without style imitation: 312; not applicable: 852.
 
 3. For Test file: 
-- No. of documents -- 2576;
-- No. of unique texts -- 2576;
-- Text length in characters -- min: 200, max: 3262, mean: 503.3;
-- No. of documents written -- by men: 1293, by women: 1283;
-- No. of unique accounts -- 873;
-- No. of unique authors -- 915; men: 357, women: 558;
-- Age of the authors -- min: 13, max: 71, mean: 30.4;
-- No. of documents by age group -- 1-19: 253, 20-29: 1163, 30-39: 713, 40-49: 292, 50+: 155;
-- No. of documents with gender imitation: 356; without imitation: 743; not applicable: 1477;
-- No. of documents with age imitation -- younger: 497; older: 483; without imitation: 497; not applicable: 1099;
-- No. of documents with style imitation: 371; without imitation: 728; not applicable: 1477.
+- No. of documents -- 2564;
+- No. of unique texts -- 2561;
+- Text length in characters -- min: 199, max: 3981, mean: 515.6;
+- No. of documents written -- by men: 1290, by women: 1274;
+- No. of unique authors -- 672; men: 336, women: 336;
+- Age of the authors -- min: 12, max: 67, mean: 31.8;
+- No. of documents by age group -- 1-19: 195, 20-29: 1131, 30-39: 683, 40-49: 351, 50+: 204;
+- No. of documents with gender imitation: 292; without gender imitation: 583; not applicable: 1689;
+- No. of documents with age imitation -- younger: 563; older: 563; without age imitation: 563; not applicable: 875;
+- No. of documents with style imitation: 292; without style imitation: 583; not applicable: 1689.
 
 ### Supported Tasks and Leaderboards
 
@@ -164,15 +161,15 @@ An example for an instance from the dataset is shown below:
 {
   'id': 'crowdsource_4916',
   '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.',
-  'account_id': 'account_#9',
-  'author_id': 'author_#504',
+  'account_id': 'account_#1239',
+  'author_id': 411,
   'age': 22,
   'age_group': '20-29',
   'gender': 'male',
-  'no_imitation': '0',
-  'age_imitation': 'nan',
-  'gender_imitation': '1',
-  'style_imitation': '0'
+  'no_imitation': 'with_any_imitation',
+  'age_imitation': 'None',
+  'gender_imitation': 'with_gender_imitation',
+  'style_imitation': 'no_style_imitation'
 }
 ```
 
@@ -185,7 +182,7 @@ Data Fields includes:
 
 - author_id -- unique identifier of the user;
 
-- account_id -- unique identifier of the account (several different people (who know each other) could perform a crowdsourcing task under the same account);
+- account_id -- unique identifier of the crowdsource account;
 
 - age -- age annotations;
 
@@ -193,31 +190,31 @@ Data Fields includes:
 
 - no_imitation -- imitation annotations. 
   Label codes: 
-    - '0' -- there is some imitation in the text;
-    - '1' -- the text is written without any imitation
+    - 'with_any_imitation' -- there is some imitation in the text;
+    - 'no_any_imitation' -- the text is written without any imitation
 
 - age_imitation -- age imitation annotations. 
   Label codes: 
     - 'younger' -- someone younger than the author is imitated in the text;
     - 'older' -- someone older than the author is imitated in the text;
-    - '0' -- the text is written without age imitation;
-    - 'nan' -- not supported (the text was not written for this task)
+    - 'no_age_imitation' -- the text is written without age imitation;
+    - 'None' -- not supported (the text was not written for this task)
 
 - gender_imitation -- gender imitation annotations. 
   Label codes: 
-    - '0' -- the text is written without gender imitation;
-    - '1' -- the text is written with a gender imitation;
-    - 'nan' -- not supported (the text was not written for this task)
+    - 'no_gender_imitation' -- the text is written without gender imitation;
+    - 'with_gender_imitation' -- the text is written with a gender imitation;
+    - 'None' -- not supported (the text was not written for this task)
 
 - style_imitation -- style imitation annotations. 
   Label codes: 
-  - '0' -- the text is written without style imitation; 
-  - '1' -- the text is written with a style imitation; 
-  - 'nan' -- not supported (the text was not written for this task).
+  - 'no_style_imitation' -- the text is written without style imitation; 
+  - 'with_style_imitation' -- the text is written with a style imitation; 
+  - 'None' -- not supported (the text was not written for this task).
 
 ### Data Splits
 
-The dataset includes a set of train/valid/test splits with 9586, 1368 and 2576 texts respectively. 
+The dataset includes a set of train/valid/test splits with 9564, 1320 and 2564 texts respectively. 
 The unique authors do not overlap between the splits.
 
 ## Dataset Creation