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}