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README.md

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 ---
-license: afl-3.0
+language:
+  - en
+license: cc
+size_categories:
+  - 10K<n<100K
+task_categories:
+  - video-text-to-text
+  - video-classification
+dataset_info:
+  features:
+    - name: mp4
+      dtype: binary
+    - name: json
+      struct:
+        - name: categories
+          dtype: string
+        - name: description
+          dtype: string
+        - name: file_name
+          dtype: string
+        - name: label
+          sequence: int32
 ---
+
+# My Emotion Video Dataset
+
+This dataset contains short video clips annotated with emotion categories. It is saved in `.parquet` format, with each row containing:
+
+- a video (`mp4`) in binary
+- a `json` object including:
+  - `file_name`: the name of the video
+  - `label`: list of integer emotion labels
+  - `categories`: emotion name (e.g., "happy", "neutral")
+  - `description`: short description of the clip
+
+## Example usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("your-username/your-dataset-name", split="train")
+print(ds[0])

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