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): 86.47%


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

@@ -1,39 +1,41 @@
 ---
+language:
+- en
 license: apache-2.0
 configs:
 - config_name: data_records
   data_files:
   - split: train
     path:
-    - "data.parquet"
+    - data.parquet
   - split: dev
-    path: 
-    - "data.parquet"
+    path:
+    - data.parquet
   - split: test
-    path: 
-    - "data.parquet"
+    path:
+    - data.parquet
 - config_name: qs
   data_files:
   - split: train
     path:
-    - "train/qs.parquet"
+    - train/qs.parquet
   - split: dev
-    path: 
-    - "dev/qs.parquet"
+    path:
+    - dev/qs.parquet
   - split: test
-    path: 
-    - "test/qs.parquet"
+    path:
+    - test/qs.parquet
 - config_name: qs_rel
   data_files:
   - split: train
     path:
-    - "train/qs_rel.parquet"
+    - train/qs_rel.parquet
   - split: dev
-    path: 
-    - "dev/qs_rel.parquet"
+    path:
+    - dev/qs_rel.parquet
   - split: test
-    path: 
-    - "test/qs_rel.parquet"
+    path:
+    - test/qs_rel.parquet
 ---
 
 The dataset contains a random 0.7/0.1/0.2 train/dev/test splits of nq dataset from KILT https://github.com/facebookresearch/KILT for benchmarking embedding model fine-tuning.