metadata

license: cc-by-4.0
task_categories:
  - text-classification
language:
  - en
tags:
  - academic
  - science
  - scholarly
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype: int64
  splits:
    - name: train
      num_bytes: 333753432
      num_examples: 98748
    - name: validation
      num_bytes: 67498634
      num_examples: 19747
    - name: test
      num_bytes: 44321798
      num_examples: 13171
  download_size: 242228942
  dataset_size: 445573864
size_categories:
  - 100K<n<1M

Dataset for Classification of Sections of Academic Papers

A dataset mapping sections of academic papers to one of the following section types:

0: Introduction
1: Background
2: Methodology
3: Experiments and Results
4: Conclusion

The dataset was collected by taking the GROBID parses of academic papers in the ACL-OCL dataset and matching the section headings to one of the synonyms of each section type. Sections that did not have a match were disregarded. The following synonyms are used:

Section Type	Synonyms
Introduction	Introduction
Background	Background Related Work Historical Review
Methodology	Methodology Method Algorithm Properties
Experiments and Resutls	Experiments Results Experimental Design Empirical Evaluation Experiments and Analysis Ablation Studies Evaluation
Conclusion	Conclusion Conclusion & Discussion Discussion and Conclusions Conclusion and Outlook Further Work Discussions and Future Directions