Datasets:

allenai
/

scicite

	---
	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-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage:
	- Repository: https://github.com/allenai/scicite
	- Paper: [Structural Scaffolds for Citation Intent Classification in Scientific Publications](https://arxiv.org/abs/1904.01608)
	- Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
	- Size of downloaded dataset files: 23.19 MB
	- Size of the generated dataset: 5.15 MB
	- Total amount of disk used: 28.33 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

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Languages

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## 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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Source Data

	#### Initial Data Collection and Normalization

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	#### Who are the source language producers?

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Annotations

	#### Annotation process

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	#### Who are the annotators?

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Personal and Sensitive Information

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Considerations for Using the Data

	### Social Impact of Dataset

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Discussion of Biases

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Other Known Limitations

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Additional Information

	### Dataset Curators

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Licensing Information

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### 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](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham), [@thomwolf](https://github.com/thomwolf) for adding this dataset.