Update README.md

README.md

@@ -67,18 +67,14 @@ We recruited US-based annotators from the crowdsourcing platform [Prolific](http
 | 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 |
+| 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  | number of persons who annotated the tweet as hate speech in the original from [Davidson et al. (2017)](https://ojs.aaai.org/index.php/ICWSM/article/view/14955)  | integer |
-| orig_label_ol  | number of persons who annotated the tweet as offensive language in the original from [Davidson et al. (2017)](https://ojs.aaai.org/index.php/ICWSM/article/view/14955)  | integer |
-| orig_label_ne  | number of persons who annotated the tweet as neither in the original from [Davidson et al. (2017)](https://ojs.aaai.org/index.php/ICWSM/article/view/14955)  | integer |
+| orig_label_hs  | number of persons who annotated the tweet as hate speech in the original dataset from [Davidson et al. (2017)](https://ojs.aaai.org/index.php/ICWSM/article/view/14955)  | integer |
+| orig_label_ol  | number of persons who annotated the tweet as offensive language in the original dataset from [Davidson et al. (2017)](https://ojs.aaai.org/index.php/ICWSM/article/view/14955)  | integer |
+| orig_label_ne  | number of persons who annotated the tweet as neither in the original dataset from [Davidson et al. (2017)](https://ojs.aaai.org/index.php/ICWSM/article/view/14955)  | integer |
 | tweet_hashed  | tweet with usernames hashed  | character |