Datasets:
Tasks:
Text Classification
Sub-tasks:
natural-language-inference
Languages:
English
Size:
10K - 100K
License:
Filippo Broggini
Reduce `num_labels` to 15. See https://github.com/osdg-ai/osdg-data/issues/3
4a821a6
| annotations_creators: | |
| - crowdsourced | |
| language_creators: | |
| - crowdsourced | |
| languages: | |
| - en | |
| licenses: | |
| - 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-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:** [OSDG-CD homepage](https://doi.org/10.5281/zenodo.6393942) | |
| ### 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](https://github.com/osdg-ai/osdg-data/issues/3). | |
| ### Supported Tasks and Leaderboards | |
| TBD | |
| ### Languages | |
| The language in 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://doi.org/10.5281/zenodo.6393942) 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_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 | |