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): 87.01%


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

@@ -1,4 +1,9 @@
 ---
+language:
+- en
+license: mit
+task_categories:
+- text-generation
 dataset_info:
   features:
   - name: problem_id
@@ -20,9 +25,6 @@ configs:
   data_files:
   - split: test
     path: data/test-*
-license: mit
-task_categories:
-- text-generation
 ---
 VerilogEvalv2 spec-to-rtl dataset from the VerilogEval paper. Paper: [Revisiting VerilogEval: Newer LLMs, In-Context Learning, and Specification-to-RTL Tasks](https://arxiv.org/abs/2408.11053) Repo: https://github.com/NVlabs/verilog-eval).