The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider removing the loading script and relying on automated data support (you can use convert_to_parquet from the datasets library). If this is not possible, please open a discussion for direct help.

Dataset Card for OSDG-CD

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).

NOTES

  • There are currently no examples for SDGs 16 and 17. See this GitHub issue.
  • As of July 2023, there areexamples also for SDG 16.

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 document
  • text_id: unique text identifier
  • text: text excerpt from the document
  • sdg: the SDG the text is validated against
  • label: an integer from 0 to 17 which corresponds to the sdg field
  • labels_negative: the number of volunteers who rejected the suggested SDG label
  • labels_positive: the number of volunteers who accepted the suggested SDG label
  • agreement: 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_2023_8397907,
  author       = {OSDG and
                  UNDP IICPSD SDG AI Lab and
                  PPMI},
  title        = {OSDG Community Dataset (OSDG-CD)},
  month        = oct,
  year         = 2023,
  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      = {2023.10},
  doi          = {10.5281/zenodo.8397907},
  url          = {https://doi.org/10.5281/zenodo.8397907}
}

Contributions

TBD

Downloads last month
110

Models trained or fine-tuned on Filippo/osdg_cd