scicite

• Description:

This is a dataset for classifying citation intents in academic papers. The main citation intent label for each Json object is specified with the label key while the citation context is specified in with a context key. Example:

{
 'string': 'In chacma baboons, male-infant relationships can be linked to both
    formation of friendships and paternity success [30,31].'
 'sectionName': 'Introduction',
 'label': 'background',
 'citingPaperId': '7a6b2d4b405439',
 'citedPaperId': '9d1abadc55b5e0',
 ...
 }

You may obtain the full information about the paper using the provided paper ids with the Semantic Scholar API (https://api.semanticscholar.org/).

The labels are: Method, Background, Result

• Additional Documentation: Explore on Papers With Code

• Homepage: https://github.com/allenai/scicite

• Source code: tfds.datasets.scicite.Builder

• Versions:

  • 1.0.0 (default): No release notes.

• Download size: 22.12 MiB

• Dataset size: 7.26 MiB

• Auto-cached (documentation): Yes

• Splits:

Split	Examples
'test'	1,859
'train'	8,194
'validation'	916

• Feature structure:

FeaturesDict({
    'citeEnd': int64,
    'citeStart': int64,
    'citedPaperId': Text(shape=(), dtype=string),
    'citingPaperId': Text(shape=(), dtype=string),
    'excerpt_index': int32,
    'id': Text(shape=(), dtype=string),
    'isKeyCitation': bool,
    'label': ClassLabel(shape=(), dtype=int64, num_classes=3),
    'label2': ClassLabel(shape=(), dtype=int64, num_classes=4),
    'label2_confidence': float32,
    'label_confidence': float32,
    'sectionName': Text(shape=(), dtype=string),
    'source': ClassLabel(shape=(), dtype=int64, num_classes=7),
    'string': Text(shape=(), dtype=string),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
citeEnd	Tensor		int64
citeStart	Tensor		int64
citedPaperId	Text		string
citingPaperId	Text		string
excerpt_index	Tensor		int32
id	Text		string
isKeyCitation	Tensor		bool
label	ClassLabel		int64
label2	ClassLabel		int64
label2_confidence	Tensor		float32
label_confidence	Tensor		float32
sectionName	Text		string
source	ClassLabel		int64
string	Text		string

• Supervised keys (See as_supervised doc): ('string', 'label')

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@InProceedings{Cohan2019Structural,
  author={Arman Cohan and Waleed Ammar and Madeleine Van Zuylen and Field Cady},
  title={Structural Scaffolds for Citation Intent Classification in Scientific Publications},
  booktitle="NAACL",
  year="2019"
}