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README.md

@@ -1,27 +1,42 @@
 ---
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  - name: label
-    dtype: string
-  - name: dataType
-    dtype: string
-  - name: communityName
-    dtype: string
-  - name: datetime
-    dtype: string
-  - name: emotion
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 1114987
-    num_examples: 3863
-  download_size: 679759
-  dataset_size: 1114987
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+pretty_name: "Test_Emotion_Classification"
+license: apache-2.0       # SPDX identifier
+language: en
+tags:
+  - text-classification
+  - emotion
+task_categories:
+  - text-classification
+pipeline_tag: text-classification
 ---
+
+# Test_Emotion_Classification
+
+A dataset of user-provided texts labeled with Ekman’s six basic emotions, filtered to only include entries where an emotion was detected.
+
+**Total examples**: 3863
+
+## Examples per Emotion
+- **Anger**: 875
+- **Disgust**: 523
+- **Fear**: 232
+- **Joy**: 1443
+- **Sadness**: 492
+- **Surprise**: 298
+
+## Dataset Structure
+
+| Column      | Type    | Description                                               |
+| ----------- | ------- | --------------------------------------------------------- |
+| text        | string  | The original input text.                                  |
+| emotion     | string  | One of joy, sadness, anger, fear, surprise, disgust.      |
+
+## Usage
+
+```python
+from datasets import load_dataset
+ds = load_dataset("AI-Roadmap/test_emotion_classification")
+print(ds["train"][0])
+```
+
+License: CC-BY-4.0