Datasets:
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albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#3)
4c40e64
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. |