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): 98.29%


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

@@ -1,5 +1,9 @@
 ---
+language:
+- en
 license: bsd-3-clause
+size_categories:
+- 100K<n<1M
 configs:
 - config_name: no-vectors
  data_files: no-vectors/*.parquet
@@ -10,8 +14,6 @@ configs:
  data_files: openai/text-embedding-3-large/*.parquet
 - config_name: snowflake-arctic-embed
  data_files: ollama/snowflake-arctic/*.parquet
-size_categories:
-- 100K<n<1M
 ---
 
 ## Loading dataset without vector embeddings