Datasets:
Tasks:
Text Classification
Sub-tasks:
natural-language-inference
Languages:
English
Size:
10K<n<100K
License:
Filippo B
commited on
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Update homepage in README
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README.md
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## Dataset Description
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- **Homepage:** [OSDG-CD homepage](https://doi.org/10.5281/zenodo.
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### Dataset Summary
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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).
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### Supported Tasks and Leaderboards
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### Curation Rationale
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The [The OSDG Community Dataset (OSDG-CD)](https://doi.org/10.5281/zenodo.
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with the goal of producing a dataset large enough to train models using neural methodologies.
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### Source Data
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### Citation Information
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```
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@dataset{
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author = {OSDG and
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UNDP IICPSD SDG AI Lab and
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PPMI},
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title = {OSDG Community Dataset (OSDG-CD)},
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month =
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year =
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note = {{This CSV file uses UTF-8 character encoding. For
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easy access on MS Excel, open the file using Data
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→ From Text/CSV. Please split CSV data into
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different columns by using a TAB delimiter.}},
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publisher = {Zenodo},
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version = {
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doi = {10.5281/zenodo.
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url = {https://doi.org/10.5281/zenodo.
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}
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```
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## Dataset Description
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- **Homepage:** [OSDG-CD homepage](https://doi.org/10.5281/zenodo.8107038)
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### Dataset Summary
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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).
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> NOTE:
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> * There are currently no examples for SDGs 16 and 17. See [this GitHub issue](https://github.com/osdg-ai/osdg-data/issues/3).
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> * As of July 2023, there areexamples also for SDG 16.
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### Supported Tasks and Leaderboards
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### Curation Rationale
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The [The OSDG Community Dataset (OSDG-CD)](https://doi.org/10.5281/zenodo.8107038) was developed as a benchmark for ...
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with the goal of producing a dataset large enough to train models using neural methodologies.
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### Source Data
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### Citation Information
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```
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@dataset{osdg_2023_8107038,
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author = {OSDG and
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UNDP IICPSD SDG AI Lab and
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PPMI},
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title = {OSDG Community Dataset (OSDG-CD)},
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month = jul,
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year = 2023,
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note = {{This CSV file uses UTF-8 character encoding. For
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easy access on MS Excel, open the file using Data
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→ From Text/CSV. Please split CSV data into
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different columns by using a TAB delimiter.}},
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publisher = {Zenodo},
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version = {2023.07},
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doi = {10.5281/zenodo.8107038},
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url = {https://doi.org/10.5281/zenodo.8107038}
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}
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```
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