Datasets:
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
task_categories:
- text-classification
task_ids:
- natural-language-inference
pretty_name: OSDG Community Dataset (OSDG-CD)
Dataset Card for OSDG-CD
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: OSDG-CD homepage
Dataset Summary
The OSDG Community Dataset (OSDG-CD) is a public dataset of thousands of text excerpts, which were validated by approximately 1,000 OSDG Community Platform (OSDG-CP) citizen scientists from over 110 countries, with respect to the Sustainable Development Goals (SDGs).
NOTE: There are currently no examples for SDGs 16 and 17. See this GitHub issue.
Supported Tasks and Leaderboards
TBD
Languages
The language of the dataset is English.
Dataset Structure
Data Instances
For each instance, there is a string for the text, a string for the SDG, and an integer for the label.
{'text': 'Each section states the economic principle, reviews international good practice and discusses the situation in Brazil.',
'label': 5}
The average token count for the premises and hypotheses are given below:
Feature | Mean Token Count |
---|---|
Premise | 14.1 |
Hypothesis | 8.3 |
Data Fields
doi
: Digital Object Identifier of the original documenttext_id
: unique text identifiertext
: text excerpt from the documentsdg
: the SDG the text is validated againstlabel
: an integer from0
to17
which corresponds to thesdg
fieldlabels_negative
: the number of volunteers who rejected the suggested SDG labellabels_positive
: the number of volunteers who accepted the suggested SDG labelagreement
: agreement score based on the formula
Data Splits
The OSDG-CD dataset has 1 splits: train.
Dataset Split | Number of Instances in Split |
---|---|
Train | 32,327 |
Dataset Creation
Curation Rationale
The The OSDG Community Dataset (OSDG-CD) was developed as a benchmark for ... with the goal of producing a dataset large enough to train models using neural methodologies.
Source Data
Initial Data Collection and Normalization
TBD
Who are the source language producers?
TBD
Annotations
Annotation process
TBD
Who are the annotators?
TBD
Personal and Sensitive Information
The dataset does not contain any personal information about the authors or the crowdworkers.
Considerations for Using the Data
Social Impact of Dataset
TBD
Additional Information
TBD
Dataset Curators
TBD
Licensing Information
The OSDG Community Dataset (OSDG-CD) is licensed under a Creative Commons Attribution 4.0 International License.
Citation Information
@dataset{osdg_2022_6393942,
author = {OSDG and
UNDP IICPSD SDG AI Lab and
PPMI},
title = {OSDG Community Dataset (OSDG-CD)},
month = apr,
year = 2022,
note = {{This CSV file uses UTF-8 character encoding. For
easy access on MS Excel, open the file using Data
→ From Text/CSV. Please split CSV data into
different columns by using a TAB delimiter.}},
publisher = {Zenodo},
version = {2022.04},
doi = {10.5281/zenodo.6393942},
url = {https://doi.org/10.5281/zenodo.6393942}
}
Contributions
TBD