Update README.md

README.md

@@ -33,9 +33,57 @@ We recruited US-based annotators from the crowdsourcing platform [Prolific](http
 
 ## Dataset Structure
 
-(tbu.: a table with column names, meanings and their variables)
+| Column Name     | Description       | Type       |
+| -------------- | ------------------ |---------------- |
+| case_id  | case id | integer |
+| duration_seconds  | duration of connection to task | integer |
+| last_screen  | last question answered  | factor |
+| device  | device type  | factor |
+| ethn_hispanic  | Hispanic race/ethnicity  | binary |
+| ethn_white  | White race/ethnicity  | binary |
+| ethn_afr_american | African-American race/ethnicity  | binary |
+| ethn_afr_asian | Asian race/ethnicity  | binary |
+| ethn_sth_else | race/ethnicity something else  | binary |
+| ethn_prefer_not | race/ethnicity prefer not to say  | binary |
+| ethn_prefer_not | race/ethnicity prefer not to say  | binary |
+| age | age  | integer |
+| education | education attainment  <br>1: Less than high school <br>2: High school <br>3: Some college <br>4: College graduate <br>5: Master's degree or professional degree (law, medicine, MPH, etc.) <br>6: Doctoral degree (PhD, DPH, EdD, etc.)| factor |
+| english_fl | English as first language   | binary |
+| twitter_use | Twitter use frequency  <br>1: Most days <br>2: Most weeks, but not every day <br>3: A few times a month <br>4: A few times a year <br>5: Less often <br>6: Never  | factor |
+| socmedia_use | social media use frequency  <br>1: Most days <br>2: Most weeks, but not every day <br>3: A few times a month <br>4: A few times a year <br>5: Less often <br>6: Never  | factor |
+| prolific_hours  | workload on the platform Prolific | integer |
+| task_fun  | task perception: fun | binary |
+| task_interesting  | task perception: interesting | binary |
+| task_boring  | task perception: boring | binary |
+| task_repetitive  | task perception: repetitive | binary |
+| task_important  | task perception: important | binary |
+| task_depressing  | task perception: depressing | binary |
+| task_offensive  | task perception: offensive | binary |
+| repeat_tweet_coding  | likelihood for another tweet task <br>1: Not at all likely <br>2: Somewhat likely <br>3: Very likely | factor |
+| repeat_hs_coding  | likelihood for another hate speech task <br>1: Not at all likely <br>2: Somewhat likely <br>3: Very likely | factor |
+| target_online_harassment  | targeted by hateful online behavior | binary |
+| target_other_harassment  | targeted by other hateful behavior | binary |
+| party_affiliation  | party identification <br>1: Republican <br>2: Democrat <br>3: Independent  | factor |
+| societal_relevance_hs  | relevance perception of hate speech  <br>1: Not at all likely <br>2: Somewhat likely <br>3: Very likely | factor |
+| annotator_id  | annotator ID | integer |
+| tweet.complete.ct  | ? | integer |
+| complete  | ? | logical |
+| condition  | experimental conditions (A-E)  | factor |
+| tweet_batch  | tweet id in batch  | factor |
+| hate_speech  | hate speech annotation  | logical |
+| offensive_language  | offensive language annotation  | logical |
+| choice  | ?  | ? |
+| value  | ?  | ? |
+| tweet_id  | tweet ID  | integer |
+| orig_label_hs  | original hate speech label from [Davidson et al. (2017)](https://ojs.aaai.org/index.php/ICWSM/article/view/14955)  | ? |
+| orig_label_ol  | original offensive label from [Davidson et al. (2017)](https://ojs.aaai.org/index.php/ICWSM/article/view/14955)  | ? |
+| orig_label_ne  | original neither label from [Davidson et al. (2017)](https://ojs.aaai.org/index.php/ICWSM/article/view/14955)  | ? |
+| tweet_hashed  | tweet with usernames hashed  | character |
+
+
 
 
 ## Citation
 
-If you found the dataset useful, please cite our dataset page: [https://huggingface.co/datasets/soda-lmu/annotation-experiments](https://huggingface.co/datasets/soda-lmu/annotation-experiments).
+If you found the dataset useful, please cite our dataset page: [https://huggingface.co/datasets/soda-lmu/annotation-experiments](https://huggingface.co/datasets/soda-lmu/annotation-experiments).
+