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): 99.82%


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 +1,7 @@
 ---
+language:
+- en
+license: apache-2.0
 dataset_info:
   features:
   - name: image
@@ -24,7 +27,6 @@ configs:
   data_files:
   - split: data
     path: data/data-*
-license: apache-2.0
 ---
 **Disclaimer**: We do not own this dataset. Fashion200K dataset is a public dataset which can be accessed through its [Github page](https://github.com/xthan/fashion-200k?tab=readme-ov-file).
 When using the datset, cite the original work.