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): 99.62%


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

@@ -1,12 +1,14 @@
 ---
+language:
+- en
 license: openrail
 task_categories:
 - text-classification
+pretty_name: A Labeled Randomized-Controlled Trial Dataset (Titles + Abstracts)
 tags:
 - biomedical
 - medical
 - biology
-pretty_name: A Labeled Randomized-Controlled Trial Dataset (Titles + Abstracts)
 ---
 
 This is a dataset consisting of 993 titles + abstracts from the PubMed corpus. Each row has an label denoting whether the abstract comes from a randomized-controlled trial (RCT) or not.