Datasets:
Librarian Bot: Add language metadata for dataset
Browse filesThis pull request aims to enrich the metadata of your dataset by adding language metadata to `YAML` block of your dataset card `README.md`.
How did we find this information?
- The librarian-bot downloaded a sample of rows from your dataset using the [dataset-server](https://huggingface.co/docs/datasets-server/) library
- The librarian-bot used a language detection model to predict the likely language of your dataset. This was done on columns likely to contain text data.
- Predictions for rows are aggregated by language and a filter is applied to remove languages which are very infrequently predicted
- A confidence threshold is applied to remove languages which are not confidently predicted
The following languages were detected with the following mean probabilities:
- English (en): 96.61%
If this PR is merged, the language metadata will be added to your dataset card. This will allow users to filter datasets by language on the [Hub](https://huggingface.co/datasets).
If the language metadata is incorrect, please feel free to close this PR.
To merge this PR, you can use the merge button below the PR:
![Screenshot 2024-02-06 at 15.27.46.png](https://cdn-uploads.huggingface.co/production/uploads/63d3e0e8ff1384ce6c5dd17d/1PRE3CoDpg_wfThC6U1w0.png)
This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bots). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to
@davanstrien
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license: mit
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multilinguality:
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source_datasets:
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task_categories:
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language:
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- en
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license: mit
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multilinguality:
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- multilingual
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source_datasets:
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- original
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task_categories:
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- text-classification
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- token-classification
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- question-answering
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- summarization
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- text-generation
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task_ids:
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- sentiment-analysis
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- topic-classification
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- named-entity-recognition
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- language-modeling
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- text-scoring
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- multi-class-classification
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- multi-label-classification
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- extractive-qa
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- news-articles-summarization
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