Datasets:
Tasks:
Text Classification
Sub-tasks:
natural-language-inference
Languages:
English
Size:
10K<n<100K
License:
Filippo B
commited on
Commit
·
e8ae5ab
1
Parent(s):
ce10851
Update to version 2023.10
Browse files- README.md +11 -11
- osdg_cd.py +10 -8
README.md
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dtype: float32
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splits:
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- name: train
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num_bytes:
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num_examples:
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download_size:
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---
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# Dataset Card for OSDG-CD
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## Dataset Description
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- **Homepage:** [OSDG-CD homepage](https://
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### Dataset Summary
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### Curation Rationale
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The [The OSDG Community Dataset (OSDG-CD)](https://
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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 = 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.
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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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dtype: float32
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splits:
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- name: train
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num_bytes: 30151244
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num_examples: 42355
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download_size: 29770590
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dataset_size: 30151244
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---
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# Dataset Card for OSDG-CD
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## Dataset Description
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- **Homepage:** [OSDG-CD homepage](https://zenodo.org/record/8397907)
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### Dataset Summary
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### Curation Rationale
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The [The OSDG Community Dataset (OSDG-CD)](https://zenodo.org/record/8397907) 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_8397907,
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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 = oct,
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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 = {2023.10},
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doi = {10.5281/zenodo.8397907},
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url = {https://doi.org/10.5281/zenodo.8397907}
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}
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```
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osdg_cd.py
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_CITATION = """\
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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 = 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.
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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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_HOMEPAGE = "https://
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_LICENSE = "https://creativecommons.org/licenses/by/4.0/"
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"2023.01": "1.0.5",
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"2023.04": "1.0.6",
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"2023.07": "1.0.7",
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}
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_VERSION = _VERSIONS["2023.
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_URLS = {
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"train": "https://zenodo.org/record/8107038/files/osdg-community-data-v2023-07-01.csv"
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}
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_CITATION = """\
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@dataset{osdg_2023_8397907,
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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 = oct,
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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 = {2023.10},
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doi = {10.5281/zenodo.8397907},
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url = {https://doi.org/10.5281/zenodo.8397907}
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}
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"""
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_HOMEPAGE = "https://zenodo.org/record/8397907"
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_LICENSE = "https://creativecommons.org/licenses/by/4.0/"
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"2023.01": "1.0.5",
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"2023.04": "1.0.6",
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"2023.07": "1.0.7",
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"2023.10": "1.0.8",
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}
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_VERSION = _VERSIONS["2023.10"]
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_URLS = {
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#"train": "https://zenodo.org/record/8107038/files/osdg-community-data-v2023-07-01.csv",
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"train": "https://zenodo.org/record/8397907/files/osdg-community-data-v2023-10-01.csv",
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}
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