README.md

metadata

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_info:
  config_name: main_config
  features:
    - name: doi
      dtype: string
    - name: text_id
      dtype: string
    - name: text
      dtype: string
    - name: sdg
      dtype: uint16
    - name: label
      dtype:
        class_label:
          names:
            '0': SDG 1
            '1': SDG 2
            '2': SDG 3
            '3': SDG 4
            '4': SDG 5
            '5': SDG 6
            '6': SDG 7
            '7': SDG 8
            '8': SDG 9
            '9': SDG 10
            '10': SDG 11
            '11': SDG 12
            '12': SDG 13
            '13': SDG 14
            '14': SDG 15
            '15': SDG 16
    - name: labels_negative
      dtype: uint16
    - name: labels_positive
      dtype: uint16
    - name: agreement
      dtype: float32
  splits:
    - name: train
      num_bytes: 30151244
      num_examples: 42355
  download_size: 29770590
  dataset_size: 30151244

Dataset Card for OSDG-CD

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

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).

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