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Librarian Bot: Add language metadata for dataset

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This 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): 94.41%


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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  1. README.md +18 -16
README.md CHANGED
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  ---
 
 
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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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  ---
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  ---
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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:
10
+ - text-classification
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+ - token-classification
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+ - question-answering
13
+ - 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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  ---
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