Datasets:

soda-lmu
/

tweet-annotation-sensitivity-2

Tasks:

Text Classification

Modalities:

Formats:

Sub-tasks:

sentiment-classification

hate-speech-detection

Languages:

Size:

Libraries:

Dataset card Viewer Files Files and versions Community

boleima commited on Oct 15, 2023

Commit

f506268

•

1 Parent(s): 106f758

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -28,7 +28,7 @@ The dataset contains tweet data annotations of **hate speech** (HS) and **offens
 We recruited US-based annotators from the crowdsourcing platform [Prolific](https://www.prolific.com/) during November and December 2022. Each annotator annotated up to 50 tweets. The dataset also contains demographic information about the annotators. Annotators received a fixed hourly wage in excess of the US federal minimum wage after completing the task.
-![](./fig/exp_conditions.png)
 ## Dataset Structure

 We recruited US-based annotators from the crowdsourcing platform [Prolific](https://www.prolific.com/) during November and December 2022. Each annotator annotated up to 50 tweets. The dataset also contains demographic information about the annotators. Annotators received a fixed hourly wage in excess of the US federal minimum wage after completing the task.
+<img src="https://raw.githubusercontent.com/chkern/tweet-annotation-sensitivity/main/fig/exp_conditions.png" width = "300" height = "200" alt="" align=center />
 ## Dataset Structure