Update README.md

README.md

@@ -3,9 +3,9 @@ annotations_creators:
   - hired_annotators
 language_creators:
   - found
-languages:
+language:
   - pl
-licenses:
+license:
   - other
 multilinguality:
   - monolingual
@@ -19,7 +19,7 @@ task_ids:
 pretty_name: Polish-Political-Advertising
 ---
 
-# Dataset Card for "Polish-Political-Advertising"
+# Polish-Political-Advertising
 
 ## Info
 
@@ -27,10 +27,59 @@ Political campaigns are full of political ads posted by candidates on social med
 
 > We achieved a 0.65 inter-annotator agreement (Cohen's kappa score). An additional annotator resolved the mismatches between the first two annotators improving the consistency and complexity of the annotation process.
 
+## Tasks (input, output and metrics)
+
+Political Advertising Detection
+
+**Input** ('*tokens'* column): sequence of tokens
+
+**Output** ('tags*'* column):  sequence of tags 
+
+**Domain**: politics
+
+**Measurements**: F1-Score (seqeval)
+
+**Example:**
+
+Input: `['@k_mizera', '@rdrozd', 'Problemem', 'jest', 'mała', 'produkcja', 'dlatego', 'takie', 'ceny', '.', '10', '000', 'mikrofirm', 'zamknęło', 'się', 'w', 'poprzednim', 'tygodniu', 'w', 'obawie', 'przed', 'ZUS', 'a', 'wystarczyło', 'zlecić', 'tym', 'co', 'chcą', 'np', '.', 'szycie', 'masek', 'czy', 'drukowanie', 'przyłbic', 'to', 'nie', 'wymaga', 'super', 'sprzętu', ',', 'umiejętności', '.', 'nie', 'będzie', 'pit', ',', 'vat', 'i', 'zus', 'będą', 'bezrobotni']`
+
+Input (translated by DeepL): `@k_mizera @rdrozd The problem is small production that's why such prices . 10,000 micro businesses closed down last week for fear of ZUS and all they had to do was outsource to those who want e.g . sewing masks or printing visors it doesn't require super equipment , skills . there will be no pit , vat and zus will be unemployed`
+
+Output: `['O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'B-WELFARE', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'B-WELFARE', 'O', 'B-WELFARE', 'O', 'B-WELFARE', 'O', 'B-WELFARE']`
+
+
+## Data splits
+
+| Subset     |   Cardinality |
+|:-----------|--------------:|
+| train      |          1020 |
+| test       |           341 |
+| validation |           340 |
+
+## Class distribution
+
+| Class                           |   train |   validation |   test |
+|:--------------------------------|--------:|-------------:|-------:|
+| B-HEALHCARE                     |   0.237 |        0.226 |  0.233 |
+| B-WELFARE                       |   0.210 |        0.232 |  0.183 |
+| B-SOCIETY                       |   0.156 |        0.153 |  0.149 |
+| B-POLITICAL_AND_LEGAL_SYSTEM    |   0.137 |        0.143 |  0.149 |
+| B-INFRASTRUCTURE_AND_ENVIROMENT |   0.110 |        0.104 |  0.133 |
+| B-EDUCATION                     |   0.062 |        0.060 |  0.080 |
+| B-FOREIGN_POLICY                |   0.040 |        0.039 |  0.028 |
+| B-IMMIGRATION                   |   0.028 |        0.017 |  0.018 |
+| B-DEFENSE_AND_SECURITY          |   0.020 |        0.025 |  0.028 |
+
 ## License
 
 [Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/)
 
+## Links
+
+[HuggingFace](https://huggingface.co/datasets/laugustyniak/political-advertising-pl)
+
+[Paper](https://aclanthology.org/2020.winlp-1.28/)
+
 ## Citing
 
 > ACL WiNLP 2020 Paper