The dataset consists of titles and abstracts from NLP-related papers. Each paper is annotated with multiple fields of study from the NLP taxonomy. Each sample is annotated with all possible lower-level concepts and their hypernyms in the NLP taxonomy. The training dataset contains 178,521 weakly annotated samples. The test dataset consists of 828 manually annotated samples from the EMNLP22 conference. The manually labeled test dataset might not… See the full description on the dataset page:
https://huggingface.co/datasets/TimSchopf/nlp_taxonomy_data.
