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Merge branch 'main' of hf.co:datasets/cis-lmu/Glot500

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  1. README.md +3 -3
README.md CHANGED
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  license: other
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  license_name: license
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  license_link: LICENSE
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-
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  configs:
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  - config_name: default
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  data_files:
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  path: cbk_Latn/test/*.arrow
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  - split: cbk_Latn_dev
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  path: cbk_Latn/dev/*.arrow
 
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  ---
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  ## License
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  We don't own any part of the data. The original source of each sentence of the data is indicated in dataset field.
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- To see the copyright license of the original datasets visit [here](view-source:https://github.com/cisnlp/Glot500#glot500-c).
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  We license the actual packaging, the metadata and the annotations of these data under the cc0-1.0.
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  ## Ethical Considerations
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- **1. Biases:** The text corpus may reflect the perspectives, opinions, or demographics of its sources or creators. It is important for users to critically evaluate the text in context especially for **news sources** and **social medias** (e.g., sunnionline, twitter, ...).
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  **2. Representativeness:** While we have aimed for diversity and inclusivity, the text corpus may not fully represent all native speakers. Users should be mindful of any potential underrepresentation.
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  license: other
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  license_name: license
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  license_link: LICENSE
 
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  configs:
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  - config_name: default
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  data_files:
 
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  path: cbk_Latn/test/*.arrow
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  - split: cbk_Latn_dev
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  path: cbk_Latn/dev/*.arrow
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+ pretty_name: Glot500 Corpus
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  ---
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  ## License
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  We don't own any part of the data. The original source of each sentence of the data is indicated in dataset field.
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+ To see the copyright license of the original datasets visit [here](https://github.com/cisnlp/Glot500#glot500-c).
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  We license the actual packaging, the metadata and the annotations of these data under the cc0-1.0.
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  ## Ethical Considerations
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+ **1. Biases:** The text corpus may reflect the perspectives, opinions, or demographics of its sources or creators. It is important for users to critically evaluate the text in context especially for news sources and social medias.
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  **2. Representativeness:** While we have aimed for diversity and inclusivity, the text corpus may not fully represent all native speakers. Users should be mindful of any potential underrepresentation.
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