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): 98.63%


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

@@ -1,43 +1,44 @@
 ---
+language:
+- en
 task_categories:
 - text-classification
-
 dataset_info:
   features:
-    - name: source
-      dtype: string
-    - name: url
-      dtype: string
-    - name: title
-      dtype: string
-    - name: image
-      dtype: string
-    - name: category
-      dtype: string
-    - name: description
-      dtype: string
-    - name: rank
-      dtype: int32
-    - name: pubdate
-      dtype: string
-    - name: text
-      dtype: string
-    - name: label
-      dtype:
-        class_label:
-          names:
-            '0': Business
-            '1': Entertainment
-            '2': Europe
-            '3': Health
-            '4': Italia
-            '5': Music Feeds
-            '6': Sci/Tech
-            '7': Software and Developement
-            '8': Sports
-            '9': Toons
-            '10': Top News
-            '11': Top Stories
-            '12': U.S.
-            '13': World
----
+  - name: source
+    dtype: string
+  - name: url
+    dtype: string
+  - name: title
+    dtype: string
+  - name: image
+    dtype: string
+  - name: category
+    dtype: string
+  - name: description
+    dtype: string
+  - name: rank
+    dtype: int32
+  - name: pubdate
+    dtype: string
+  - name: text
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': Business
+          '1': Entertainment
+          '2': Europe
+          '3': Health
+          '4': Italia
+          '5': Music Feeds
+          '6': Sci/Tech
+          '7': Software and Developement
+          '8': Sports
+          '9': Toons
+          '10': Top News
+          '11': Top Stories
+          '12': U.S.
+          '13': World
+---