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): 99.74%


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

@@ -1,32 +1,34 @@
----
-dataset_info:
-  config_name: triplet
-  features:
-  - name: query
-    dtype: string
-  - name: positive
-    dtype: string
-  - name: negative
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 12581563.792427007
-    num_examples: 42076
-  - name: test
-    num_bytes: 3149278.207572993
-    num_examples: 10532
-  download_size: 1254810
-  dataset_size: 15730842
-configs:
-- config_name: triplet
-  data_files:
-  - split: train
-    path: triplet/train-*
-  - split: test
-    path: triplet/test-*
-task_categories:
-- sentence-similarity
----
+---
+language:
+- en
+task_categories:
+- sentence-similarity
+dataset_info:
+  config_name: triplet
+  features:
+  - name: query
+    dtype: string
+  - name: positive
+    dtype: string
+  - name: negative
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 12581563.792427007
+    num_examples: 42076
+  - name: test
+    num_bytes: 3149278.207572993
+    num_examples: 10532
+  download_size: 1254810
+  dataset_size: 15730842
+configs:
+- config_name: triplet
+  data_files:
+  - split: train
+    path: triplet/train-*
+  - split: test
+    path: triplet/test-*
+---
 
 This dataset is the triplet subset of https://huggingface.co/datasets/sentence-transformers/sql-questions with a train and test split.