update

README.md

@@ -127,7 +127,9 @@ configs:
         'E': 'The nail on the right side of the motorcycle exhaust pipe'
     },
     'video_metadata': {
-        'CLIP-reference-interval': [180.0, 240.0],  # Time interval of the video that is considered to be important in CLIP. This is originally from the Ego4D dataset, used here for annotators to quickly locate in the video.
+        'CLIP-reference-interval-vclip': [180.0, 240.0],  # Time interval of the "vclip" that is considered to be important by CLIP. this is calculated by (CLIP-reference-interval-video - vclip-interval-in-video[0])
+        'CLIP-reference-interval-video': [180.0, 240.0],  # Time interval of the "video" that is considered to be important by CLIP. This is originally from the **Ego4D dataset**, used in our work for annotators to quickly locate in the video.
+        'vclip_interval_in_video': [0.0, 480.06667277018227], # the vclip start and end second, i.e., for [a, b], the vclip starts at the a second of the video, ends at the b second of the video
         'frame_count': 14155,  # Total number of frames in the video
         'frame_rate': 30.0,  # Frame rate of the video
         'duration': 471.8333435058594,  # Duration of the video in seconds
@@ -141,6 +143,8 @@ configs:
     }
 }
 ```
+
+
 #### Dataset exploration
 
 add hyperlink to demo
@@ -168,8 +172,7 @@ print(dataset)
 #### Video Source Download
 
 TODO: We plan to provide a script of how to download a subset from [Ego4d](https://ego4d-data.org/).
-Assume your video will be downloaded to your_path/videos/ .
-
+For now, you can refer to their official guide [here](https://github.com/facebookresearch/Ego4d/tree/main/ego4d/cli). Your code would be look like the follows:
 ```bash
 pip install ego4d
 
@@ -180,6 +183,20 @@ ego4d --output_directory=your_path/videos/ \
 
 python process_videos_to_clips.py
 ```
+Please find [video_uid.txt](https://huggingface.co/datasets/LVHaystack/LongVideoHaystack/blob/main/video_uid.txt) in our repo, or you can generate it by:
+
+```python
+import datasets
+metadata = datasets.load_dataset("LVHaystack/LongVideoHaystack-metadata")
+with open("video_uids.txt", "w") as file:
+    for video_id in metadata['video_id']:
+        file.write(video_id + " ")
+```
+
+then, you need to transform them to video clips:
+```python
+```
+
 
 
 #### Dataset Statistics Summary