|
--- |
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annotations_creators: |
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- crowdsourced |
|
- expert-generated |
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language_creators: |
|
- found |
|
language: |
|
- en |
|
license: |
|
- unknown |
|
multilinguality: |
|
- monolingual |
|
size_categories: |
|
- 10K<n<100K |
|
source_datasets: |
|
- original |
|
task_categories: |
|
- text-classification |
|
task_ids: |
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- intent-classification |
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- multi-class-classification |
|
paperswithcode_id: scicite |
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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. |
