--- annotations_creators: - crowdsourced language_creators: - crowdsourced language: - en license: - cc-by-4.0 multilinguality: - monolingual size_categories: - 10K NOTES > > * There are currently no examples for SDGs 16 and 17. See [this GitHub issue](https://github.com/osdg-ai/osdg-data/issues/3). > * 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)](https://zenodo.org/record/8397907) 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](http://creativecommons.org/licenses/by/4.0/). ### 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