Create get_dataset_stat.py
Browse files- get_dataset_stat.py +97 -0
get_dataset_stat.py
ADDED
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from datasets import load_dataset
|
2 |
+
|
3 |
+
# Load the dataset
|
4 |
+
dataset = load_dataset("LVHaystack/LongVideoHaystack")
|
5 |
+
|
6 |
+
def calculate_statistics(dataset, splits=['train', 'test', 'val', 'test_tiny']):
|
7 |
+
statistics = {
|
8 |
+
"total_videos": 0,
|
9 |
+
"total_clips": 0,
|
10 |
+
"total_video_duration_hours": 0,
|
11 |
+
"total_vclip_duration_hours": 0,
|
12 |
+
"total_frames": 0,
|
13 |
+
"total_keyframes": 0,
|
14 |
+
"total_qa_pairs": 0,
|
15 |
+
"average_frames_per_video": 0,
|
16 |
+
"average_keyframes_per_question": 0,
|
17 |
+
"average_duration_per_video": 0,
|
18 |
+
"average_duration_per_vclip": 0,
|
19 |
+
"total_clips_deduplicated": 0,
|
20 |
+
"total_video_duration_hours_dedup": 0,
|
21 |
+
}
|
22 |
+
|
23 |
+
# Sets for deduplication
|
24 |
+
unique_video_ids = set()
|
25 |
+
unique_clips = set()
|
26 |
+
|
27 |
+
# Variables for calculations
|
28 |
+
total_clips = 0
|
29 |
+
total_video_duration = {}
|
30 |
+
total_vclip_duration = {}
|
31 |
+
total_frames = {}
|
32 |
+
total_keyframes = 0
|
33 |
+
total_questions = 0
|
34 |
+
|
35 |
+
for split in splits:
|
36 |
+
for entry in dataset[split]:
|
37 |
+
video_id = entry['video_metadata']['video_id']
|
38 |
+
clip_id = entry['vclip_id']
|
39 |
+
|
40 |
+
# Count unique videos
|
41 |
+
unique_video_ids.add(video_id)
|
42 |
+
|
43 |
+
# Track deduplicated clips
|
44 |
+
unique_clips.add(clip_id)
|
45 |
+
|
46 |
+
# Add clip duration to total duration
|
47 |
+
total_video_duration.update({entry['video_metadata']['video_id']: entry['video_metadata']['video_duration']})
|
48 |
+
|
49 |
+
# Add clip duration to total duration
|
50 |
+
total_vclip_duration.update({entry['vclip_id']: entry['video_metadata']['vclip_duration']})
|
51 |
+
|
52 |
+
# Add frame count to total frames
|
53 |
+
total_frames.update({entry['video_metadata']['video_id']: entry['video_metadata']['video_frame_count']})
|
54 |
+
|
55 |
+
# Add keyframes to total keyframes
|
56 |
+
total_keyframes += len(entry['frame_indexes_vclip'])
|
57 |
+
|
58 |
+
# Add question to total QA pairs
|
59 |
+
total_questions += 1
|
60 |
+
|
61 |
+
# Count video clips
|
62 |
+
total_clips += 1
|
63 |
+
|
64 |
+
# Populate statistics dictionary
|
65 |
+
statistics["total_videos"] = len(unique_video_ids)
|
66 |
+
statistics["total_clips"] = len(unique_clips)
|
67 |
+
statistics["total_video_duration_hours"] = sum(total_video_duration.values()) / 3600
|
68 |
+
statistics["total_vclip_duration_hours"] = sum(total_vclip_duration.values()) / 3600
|
69 |
+
statistics["total_frames"] = sum(total_frames.values())
|
70 |
+
statistics["total_keyframes"] = total_keyframes
|
71 |
+
statistics["total_qa_pairs"] = total_questions
|
72 |
+
statistics["average_frames_per_video"] = statistics["total_frames"] / len(unique_video_ids) if unique_video_ids else 0
|
73 |
+
statistics["average_keyframes_per_question"] = statistics["total_keyframes"] / total_questions if total_questions else 0
|
74 |
+
statistics["average_duration_per_video"] = statistics["total_video_duration_hours"] / len(unique_video_ids) * 3600 if unique_video_ids else 0
|
75 |
+
statistics["average_duration_per_vclip"] = statistics["total_vclip_duration_hours"] / len(unique_clips) * 3600 if unique_clips else 0
|
76 |
+
|
77 |
+
return statistics
|
78 |
+
|
79 |
+
def display(statistics, head="Dataset Statistics Summary"):
|
80 |
+
print("\n" + "="*40)
|
81 |
+
print(f" {head}")
|
82 |
+
print("="*40)
|
83 |
+
print(f"Total Videos: {statistics['total_videos']:,}")
|
84 |
+
print(f"Total Clips: {statistics['total_clips']:,}")
|
85 |
+
print(f"Total Video Duration (hours): {statistics['total_video_duration_hours']:.2f}")
|
86 |
+
print(f"Total Video Clip Duration (hours): {statistics['total_vclip_duration_hours']:.2f}")
|
87 |
+
print(f"Total Frames: {statistics['total_frames']:,}")
|
88 |
+
print(f"Total Keyframes: {statistics['total_keyframes']:,}")
|
89 |
+
print(f"Total QA Pairs: {statistics['total_qa_pairs']:,}")
|
90 |
+
print(f"Average Frames per Video: {statistics['average_frames_per_video']:.2f}")
|
91 |
+
print(f"Average Keyframes per Question: {statistics['average_keyframes_per_question']:.2f}")
|
92 |
+
print(f"Average Duration per Video (seconds, deduplicated): {statistics['average_duration_per_video']:.2f}")
|
93 |
+
print(f"Average Duration per Video Clip (seconds, deduplicated): {statistics['average_duration_per_vclip']:.2f}")
|
94 |
+
print("="*40 + "\n")
|
95 |
+
|
96 |
+
statistics = calculate_statistics(dataset)
|
97 |
+
display(statistics)
|