Datasets:
pretty_name: SciCite
languages:
- en
paperswithcode_id: scicite
Dataset Card for "scicite"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://github.com/allenai/scicite
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 22.12 MB
- Size of the generated dataset: 4.91 MB
- Total amount of disk used: 27.02 MB
Dataset Summary
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
Supported Tasks and Leaderboards
Languages
Dataset Structure
We show detailed information for up to 5 configurations of the dataset.
Data Instances
default
- Size of downloaded dataset files: 22.12 MB
- Size of the generated dataset: 4.91 MB
- Total amount of disk used: 27.02 MB
An example of 'validation' looks as follows.
{
"citeEnd": 68,
"citeStart": 64,
"citedPaperId": "5e413c7872f5df231bf4a4f694504384560e98ca",
"citingPaperId": "8f1fbe460a901d994e9b81d69f77bfbe32719f4c",
"excerpt_index": 0,
"id": "8f1fbe460a901d994e9b81d69f77bfbe32719f4c>5e413c7872f5df231bf4a4f694504384560e98ca",
"isKeyCitation": false,
"label": 2,
"label2": 0,
"label2_confidence": 0.0,
"label_confidence": 0.0,
"sectionName": "Discussion",
"source": 4,
"string": "These results are in contrast with the findings of Santos et al.(16), who reported a significant association between low sedentary time and healthy CVF among Portuguese"
}
Data Fields
The data fields are the same among all splits.
default
string: astringfeature.sectionName: astringfeature.label: a classification label, with possible values includingmethod(0),background(1),result(2).citingPaperId: astringfeature.citedPaperId: astringfeature.excerpt_index: aint32feature.isKeyCitation: aboolfeature.label2: a classification label, with possible values includingsupportive(0),not_supportive(1),cant_determine(2),none(3).citeEnd: aint64feature.citeStart: aint64feature.source: a classification label, with possible values includingproperNoun(0),andPhrase(1),acronym(2),etAlPhrase(3),explicit(4).label_confidence: afloat32feature.label2_confidence: afloat32feature.id: astringfeature.
Data Splits
| name | train | validation | test |
|---|---|---|---|
| default | 8194 | 916 | 1859 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
@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"
}
Contributions
Thanks to @lewtun, @patrickvonplaten, @mariamabarham, @thomwolf for adding this dataset.