Librarian Bot: Add language metadata for dataset

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): 94.77%


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:

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

.

README.md

@@ -1,25 +1,27 @@
 ---
+language:
+- en
 license: mit
 multilinguality:
-  - multilingual
+- multilingual
 source_datasets:
-  - original
+- original
 task_categories:
-  - text-classification
-  - token-classification
-  - question-answering
-  - summarization
-  - text-generation
+- text-classification
+- token-classification
+- question-answering
+- summarization
+- text-generation
 task_ids:
-  - sentiment-analysis
-  - topic-classification
-  - named-entity-recognition
-  - language-modeling
-  - text-scoring
-  - multi-class-classification
-  - multi-label-classification
-  - extractive-qa
-  - news-articles-summarization
+- sentiment-analysis
+- topic-classification
+- named-entity-recognition
+- language-modeling
+- text-scoring
+- multi-class-classification
+- multi-label-classification
+- extractive-qa
+- news-articles-summarization
 ---