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:

- Turkish (tr): 99.18%


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

@@ -1,3 +1,7 @@
+---
+language:
+- tr
+---
 This is the embedded version of [barandinho/wikipedia_tr](https://huggingface.co/datasets/barandinho/wikipedia_tr) the dataset was chunked (chunk_size=2048, chunk_overlap=256) and then put into an embedding model.\
 The embedding model used for this dataset is [sentence-transformers/distiluse-base-multilingual-cased-v1](https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v1) so you have to use it if you wanna do similarity search\
 It is one of the best embedding model for Turkish according to our tests.\