update README

README.md

@@ -60,7 +60,7 @@ task_ids:
 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;
 
-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+;
+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+;
 
 3) age imitation -- 7574 texts, where crowdsource authors is asked to write three texts: 
   a) in their natural manner, 
@@ -91,6 +91,14 @@ def load_jsonl(input_path: str) -> list:
 path_to_file = "./data/train.jsonl"
 data = load_jsonl(path_to_file)
 ```
+or you can use HuggingFace style:
+```
+from datasets import load_dataset
+
+train_df = load_dataset('sagteam/author_profiling', split='train')
+valid_df = load_dataset('sagteam/author_profiling', split='valid')
+test_df = load_dataset('sagteam/author_profiling', split='test')
+```
 
 #### Here are some statistics:
 
@@ -161,10 +169,10 @@ An example for an instance from the dataset is shown below:
   'age': 22,
   'age_group': '20-29',
   'gender': 'male',
-  'no_imitation': 0,
-  'age_imitation': nan,
-  'gender_imitation': 1.0,
-  'style_imitation': 0.0
+  'no_imitation': '0',
+  'age_imitation': 'nan',
+  'gender_imitation': '1',
+  'style_imitation': '0'
 }
 ```
 
@@ -185,27 +193,27 @@ 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
+    - '0' -- there is some imitation in the text;
+    - '1' -- 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)
+    - '0' -- the text is written without age imitation;
+    - 'nan' -- 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)
+    - '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)
 
 - 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).
+  - '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).
 
 ### Data Splits