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Datasets:
allenai
/
scicite

Tasks:
Text Classification
Sub-tasks: intent-classification multi-class-classification
Languages: English
Multilinguality: monolingual
Size Categories: 10K<n<100K
Language Creators: found
Annotations Creators: crowdsourced expert-generated
Source Datasets: original
ArXiv:
License:
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metadata
annotations_creators:
  - crowdsourced
  - expert-generated
language_creators:
  - found
language:
  - en
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - intent-classification
  - multi-class-classification
paperswithcode_id: scicite
pretty_name: SciCite
dataset_info:
  features:
    - name: string
      dtype: string
    - name: sectionName
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': method
            '1': background
            '2': result
    - name: citingPaperId
      dtype: string
    - name: citedPaperId
      dtype: string
    - name: excerpt_index
      dtype: int32
    - name: isKeyCitation
      dtype: bool
    - name: label2
      dtype:
        class_label:
          names:
            '0': supportive
            '1': not_supportive
            '2': cant_determine
            '3': none
    - name: citeEnd
      dtype: int64
    - name: citeStart
      dtype: int64
    - name: source
      dtype:
        class_label:
          names:
            '0': properNoun
            '1': andPhrase
            '2': acronym
            '3': etAlPhrase
            '4': explicit
            '5': acronymParen
            '6': nan
    - name: label_confidence
      dtype: float32
    - name: label2_confidence
      dtype: float32
    - name: id
      dtype: string
  splits:
    - name: test
      num_bytes: 870809
      num_examples: 1859
    - name: train
      num_bytes: 3843904
      num_examples: 8194
    - name: validation
      num_bytes: 430296
      num_examples: 916
  download_size: 23189911
  dataset_size: 5145009

Dataset Card for "scicite"

Table of Contents

Dataset Description

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

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

default

  • Size of downloaded dataset files: 23.19 MB
  • Size of the generated dataset: 5.15 MB
  • Total amount of disk used: 28.33 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: a string feature.
  • sectionName: a string feature.
  • label: a classification label, with possible values including method (0), background (1), result (2).
  • citingPaperId: a string feature.
  • citedPaperId: a string feature.
  • excerpt_index: a int32 feature.
  • isKeyCitation: a bool feature.
  • label2: a classification label, with possible values including supportive (0), not_supportive (1), cant_determine (2), none (3).
  • citeEnd: a int64 feature.
  • citeStart: a int64 feature.
  • source: a classification label, with possible values including properNoun (0), andPhrase (1), acronym (2), etAlPhrase (3), explicit (4).
  • label_confidence: a float32 feature.
  • label2_confidence: a float32 feature.
  • id: a string feature.

Data Splits

name train validation test
default 8194 916 1859

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

Citation Information 

@inproceedings{cohan-etal-2019-structural,
    title = "Structural Scaffolds for Citation Intent Classification in Scientific Publications",
    author = "Cohan, Arman  and
      Ammar, Waleed  and
      van Zuylen, Madeleine  and
      Cady, Field",
    booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/N19-1361",
    doi = "10.18653/v1/N19-1361",
    pages = "3586--3596",
}

Contributions

Thanks to @lewtun, @patrickvonplaten, @mariamabarham, @thomwolf for adding this dataset.