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:

- Thai (th): 98.10%


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

@@ -1,59 +1,60 @@
 ---
+language:
+- th
 dataset_info:
   features:
   - name: text
     dtype: string
   - name: label
-    dtype: 
+    dtype:
       class_label:
         names:
-          "0": 0.125
-          "1": 0.25
-          "2": 0.3
-          "3": 0.4
-          "4": 0.5
-          "5": 0.75
-          "6": 0.8
-          "7": 1
-          "8": 1.25
-          "9": 1.5
-          "10": 1.75
-          "11": 2
-          "12": 2.25
-          "13": 2.5
-          "14": 2.75
-          "15": 3
-          "16": 3.5
-          "17": 3.75
-          "18": 4
-          "19": 4.5
-          "20": 5
-          "21": 6
-          "22": 7
-          "23": 7.5
-          "24": 8
-          "25": 9
-          "26": 10
-          "27": 11
-          "28": 12
-          "29": 16
-          "30": 30
-          "31": 40
-          "32": 134.2
-          "33": 135
-          "34": 250
-          "35": 340
-          "36": 400
-          "37": 600
-          "38": 631.6
-          "39": 700
-          "40": 900
-          "41": 1400
-          "42": 1800
-          "43": 1894.8
-          "44": 2000
-          "45": 3156
-
+          '0': 0.125
+          '1': 0.25
+          '2': 0.3
+          '3': 0.4
+          '4': 0.5
+          '5': 0.75
+          '6': 0.8
+          '7': 1
+          '8': 1.25
+          '9': 1.5
+          '10': 1.75
+          '11': 2
+          '12': 2.25
+          '13': 2.5
+          '14': 2.75
+          '15': 3
+          '16': 3.5
+          '17': 3.75
+          '18': 4
+          '19': 4.5
+          '20': 5
+          '21': 6
+          '22': 7
+          '23': 7.5
+          '24': 8
+          '25': 9
+          '26': 10
+          '27': 11
+          '28': 12
+          '29': 16
+          '30': 30
+          '31': 40
+          '32': 134.2
+          '33': 135
+          '34': 250
+          '35': 340
+          '36': 400
+          '37': 600
+          '38': 631.6
+          '39': 700
+          '40': 900
+          '41': 1400
+          '42': 1800
+          '43': 1894.8
+          '44': 2000
+          '45': 3156
   splits:
   - name: train
     num_bytes: 4309