Datasets:
Tasks:
Text Classification
Languages:
English
Size:
n<1K
Tags:
pragmatic-reasoning
theory-of-mind
emotion-inference
indirect-speech
benchmark
multi-annotator
License:
| Person,# of Flags,,Person,# of Flags,,Person,# of Flags | |
| Ann Duncan,0,,Anna,3,,Godwin, | |
| Tiffanie,4,,Peter,5,,Eli, | |
| Kirill,13,,Abhigya,3,,Adrian, | |
| All Disagree (but no outlier),7,,All Disagree (but no outlier),12,,All Disagree (but no outlier), | |
| ,,,,,,, | |
| ,,,,,,, | |
| Person,# of Flags,,Person,# of Flags,,Key,Meaning | |
| Hannah,,,Morty,0,,Across a row,A row that was flagged by AI | |
| Andre,,,Mous,3,,In a Yellow row,What I flagged as the issue in the AI flagged row | |
| Gwen,,,Wisdom,1,,In ID column,The AI falsely identified this row as a problem | |
| All Disagree (but no outlier),,,All Disagree (but no outlier),18,,In ID column,I identified inconsistencies in the row the AI did not | |
| ,,,,,,In unmarked row,The specific inconsistencies as mentioned above (they are not included in the flag counts | |
| ,,,,,,Notes,"My explanation of what was flagged. If there is ""BUT"" it generally means that the issue makes sense, or the participants disagreed on the emotion but agreed on the valence" |