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README.md

@@ -1,23 +1,63 @@
----
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: annotation
-    dtype: string
-  - name: transcription
-    dtype: string
-  - name: video_segment
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 1893672
-    num_examples: 42
-  download_size: 1892151
-  dataset_size: 1893672
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
----
+---
+license: mit
+task_categories:
+- image-classification
+- other
+task_ids:
+- image-classification-other
+language:
+- en
+size_categories:
+- n<1K
+dataset_info:
+  features:
+    - name: image
+      dtype: image
+    - name: annotation
+      dtype: string
+    - name: transcription
+      dtype: string
+    - name: video_segment
+      dtype: string
+  splits:
+    - name: train
+      num_bytes: 0
+      num_examples: 42
+---
+
+# Video Dataset - pre1_test
+
+## Dataset Description
+
+This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.
+
+## Dataset Structure
+
+- `frames/` — extracted frames grouped by role (`start`, `middle`, `end`)
+- `segments/` — video clips for each annotation interval
+- `annotations/` — original JSON annotation
+- `transcriptions/` — transcription files (`full_transcription.txt` + per segment)
+- `dataset.csv` — mapping between frames, annotations, video clips, and segment transcription
+
+## Dataset Statistics
+
+- **Frames:** 42
+- **Segments:** 14
+- **Unique Labels:** 7
+
+## Dataset Features
+
+- **image**: Extracted video frame (JPEG)
+- **annotation**: Label/annotation for the frame segment
+- **transcription**: Text transcription of the audio segment
+- **video_segment**: Path to the corresponding video clip file
+
+## Usage
+
+This dataset can be loaded using the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("your-org/video-dataset-pre1_test")
+```