De-Noising Document Classification Benchmarks via Prompt-based Rank Pruning: A Case Study

This is a dataset of fan fiction works, labeled with any of 4 corresponding triggers warnings and judgements about the reliability of that label. 

Please finde details in the corresponding publication: https://webis.de/publications.html#wiegmann_2024c

Please use the following citation key: 

@InProceedings{wiegmann:2024c,
  address =                  {Berlin Heidelberg New York},
  author =                   {Matti Wiegmann and Benno Stein and Martin Potthast},
  booktitle =                {Experimental IR Meets Multilinguality, Multimodality, and Interaction. 15th International Conference of the CLEF Association (CLEF 2024)},
  editor =                   {Lorraine Goeuriot and Philippe Mulhem and Georges Qu{\'e}not and Didier Schwab and Giorgio Maria Di Nunzio and Laure Soulier and Petra Galuscakova and Alba Garcia Seco Herrera and Guglielmo Faggioli and Nicola Ferro},
  month =                    sep,
  publisher =                {Springer},
  series =                   {Lecture Notes in Computer Science},
  site =                     {Grenoble, France},
  title =                    {{De-Noising Document Classification Benchmarks via Prompt-based Rank Pruning: A Case Study}},
  year =                     2024
}