id
string | images
list | text prompt
string | video link
string | visual quality
int64 | temporal consistency
int64 | dynamic degree
int64 | text-to-video alignment
int64 | factual consistency
int64 | conversations
list | question
string | qa_type
string | source_json
string | sample_uid
string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The gate is made of black metal with yellow and white stripes on the sides. A red and black scooter is parked near the gate.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The gate is made of black metal with yellow and white stripes on the sides. A red and black scooter is parked near the gate."
}
] |
Describe the appearance of the gate and the scooter near it.
|
spatial_qa_pairs
|
D001_01_6.json
|
D001_01_spatial_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The person walking towards the gate is wearing a light-colored shirt and dark pants, and they are holding a white object in their hand.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The person walking towards the gate is wearing a light-colored shirt and dark pants, and they are holding a white object in their hand."
}
] |
What is the attire of the person walking towards the gate, and what are they holding?
|
spatial_qa_pairs
|
D001_01_6.json
|
D001_01_spatial_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The person in the light-colored shirt and dark pants is seen walking towards the gate, holding a white object in their hand and appears to be interacting with the gate or the building, possibly checking something or preparing to enter.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The person in the light-colored shirt and dark pants is seen walking towards the gate, holding a white object in their hand and appears to be interacting with the gate or the building, possibly checking something or preparing to enter."
}
] |
What is the person in the light-colored shirt and dark pants doing near the gate?
|
reasoning_qa_pairs
|
D001_01_6.json
|
D001_01_reasoning_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The green bus drives out of the yard and moves away to the right.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The green bus drives out of the yard and moves away to the right."
}
] |
Where does the green bus drive after it leaves the yard?
|
reasoning_qa_pairs
|
D001_01_6.json
|
D001_01_reasoning_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The video does not provide specific information about why the red and black scooter is parked near the gate, but it is visible in the scene, suggesting it might belong to someone who is either entering or exiting the facility.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video does not provide specific information about why the red and black scooter is parked near the gate, but it is visible in the scene, suggesting it might belong to someone who is either entering or exiting the facility."
}
] |
Why is the red and black scooter parked near the gate?
|
reasoning_qa_pairs
|
D001_01_6.json
|
D001_01_reasoning_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
At the beginning of the video, a gated area is shown, likely an entrance to a parking lot or a facility. A red and black scooter is parked near the gate, and several vehicles, including a white car, a green bus, and a white van, are visible on the road in the background. A person wearing a light-colored shirt and dark pants is seen walking towards the gate, holding a white object in their hand and interacting with the gate or the building.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "At the beginning of the video, a gated area is shown, likely an entrance to a parking lot or a facility. A red and black scooter is parked near the gate, and several vehicles, including a white car, a green bus, and a white van, are visible on the road in the background. A person wearing a light-colored shirt and dark pants is seen walking towards the gate, holding a white object in their hand and interacting with the gate or the building."
}
] |
What happens at the beginning of the video?
|
short_temporal_qa_pairs
|
D001_01_6.json
|
D001_01_short_temporal_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
After the person in the light-colored shirt and dark pants is no longer present, a green bus approaches the gate from the right side of the frame, moving slowly towards the left. The green bus eventually drives out of the yard and moves away to the right.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "After the person in the light-colored shirt and dark pants is no longer present, a green bus approaches the gate from the right side of the frame, moving slowly towards the left. The green bus eventually drives out of the yard and moves away to the right."
}
] |
What happens after the person in the light-colored shirt and dark pants is no longer present in the scene?
|
short_temporal_qa_pairs
|
D001_01_6.json
|
D001_01_short_temporal_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
When the green bus is in the scene, it first approaches the gate from the right side of the frame, moving slowly towards the left. It then drives out of the yard and moves away to the right, aligning with the ground-truth caption. During this time, the scene remains relatively static, with minimal movement from the vehicles in the background.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "When the green bus is in the scene, it first approaches the gate from the right side of the frame, moving slowly towards the left. It then drives out of the yard and moves away to the right, aligning with the ground-truth caption. During this time, the scene remains relatively static, with minimal movement from the vehicles in the background."
}
] |
Can you describe the sequence of events that occur when the green bus is in the scene?
|
short_temporal_qa_pairs
|
D001_01_6.json
|
D001_01_short_temporal_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The video begins with a view of a gated area, which appears to be an entrance to a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on the pillars. Near the gate, a red and black scooter is parked. The background features a busy street with various vehicles, including a green bus and a white car, as well as several other cars. People are seen walking on the sidewalk, some of whom wear reflective vests, possibly indicating they are workers or security personnel. The scene remains static, with minimal movement, primarily focusing on the scooter and the surrounding environment. This static view persists throughout the first part of the video. In the middle section, the same gated area is shown again. The red and black scooter remains parked near the gate, and the background continues to display the busy street with the same vehicles and pedestrians. The scene remains static, maintaining its focus on the scooter and the surrounding environment. Towards the end of the video, a person wearing a pink shirt and carrying a bag walks past the gate from left to right, introducing a slight dynamic element to the previously static scene. The video concludes with the same static view of the gated area, the red and black scooter, and the busy street in the background, returning to the initial state of minimal movement. Throughout the video, a man wearing a green shirt and a yellow helmet stands between two white cars on the left, adding a consistent visual element to the scene.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video begins with a view of a gated area, which appears to be an entrance to a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on the pillars. Near the gate, a red and black scooter is parked. The background features a busy street with various vehicles, including a green bus and a white car, as well as several other cars. People are seen walking on the sidewalk, some of whom wear reflective vests, possibly indicating they are workers or security personnel. The scene remains static, with minimal movement, primarily focusing on the scooter and the surrounding environment. This static view persists throughout the first part of the video. In the middle section, the same gated area is shown again. The red and black scooter remains parked near the gate, and the background continues to display the busy street with the same vehicles and pedestrians. The scene remains static, maintaining its focus on the scooter and the surrounding environment. Towards the end of the video, a person wearing a pink shirt and carrying a bag walks past the gate from left to right, introducing a slight dynamic element to the previously static scene. The video concludes with the same static view of the gated area, the red and black scooter, and the busy street in the background, returning to the initial state of minimal movement. Throughout the video, a man wearing a green shirt and a yellow helmet stands between two white cars on the left, adding a consistent visual element to the scene."
}
] |
Can you describe the entire video in detail from start to finish, including all the key actions and events?
|
summary_qa_pairs
|
D001_01_7.json
|
D001_01_summary_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The video starts with a view of a gated area, likely an entrance to a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on the pillars. Near the gate, a red and black scooter is parked. The background shows a busy street with various vehicles, including a green bus and a white car, as well as several other cars. People are seen walking on the sidewalk, some of whom wear reflective vests, possibly indicating they are workers or security personnel. The scene is initially static, with minimal movement, and this static view continues for the first part of the video. In the middle section, the same gated area is shown once again. The red and black scooter remains parked near the gate, and the background continues to display the busy street with the same vehicles and pedestrians. The scene remains static, maintaining its focus on the scooter and the surrounding environment. Towards the end of the video, a person wearing a pink shirt and carrying a bag walks past the gate from left to right, introducing a slight dynamic element to the previously static scene. The video concludes with the same static view of the gated area, the red and black scooter, and the busy street in the background, returning to the initial state of minimal movement. Throughout the video, a man wearing a green shirt and a yellow helmet stands between two white cars on the left, adding a consistent visual element to the scene.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video starts with a view of a gated area, likely an entrance to a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on the pillars. Near the gate, a red and black scooter is parked. The background shows a busy street with various vehicles, including a green bus and a white car, as well as several other cars. People are seen walking on the sidewalk, some of whom wear reflective vests, possibly indicating they are workers or security personnel. The scene is initially static, with minimal movement, and this static view continues for the first part of the video. In the middle section, the same gated area is shown once again. The red and black scooter remains parked near the gate, and the background continues to display the busy street with the same vehicles and pedestrians. The scene remains static, maintaining its focus on the scooter and the surrounding environment. Towards the end of the video, a person wearing a pink shirt and carrying a bag walks past the gate from left to right, introducing a slight dynamic element to the previously static scene. The video concludes with the same static view of the gated area, the red and black scooter, and the busy street in the background, returning to the initial state of minimal movement. Throughout the video, a man wearing a green shirt and a yellow helmet stands between two white cars on the left, adding a consistent visual element to the scene."
}
] |
What happens throughout the entire video, including all key actions and events, and how does the scene change over time?
|
summary_qa_pairs
|
D001_01_7.json
|
D001_01_summary_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The video opens with a view of a gated area, which seems to be an entrance to a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on the pillars. Near the gate, a red and black scooter is parked. The background features a busy street with various vehicles, including a green bus and a white car, as well as several other cars. People are seen walking on the sidewalk, some of whom wear reflective vests, possibly indicating they are workers or security personnel. The scene is initially static, with minimal movement, and this static view continues for the first part of the video. In the middle section, the same gated area is shown again. The red and black scooter remains parked near the gate, and the background continues to display the busy street with the same vehicles and pedestrians. The scene remains static, maintaining its focus on the scooter and the surrounding environment. Towards the end of the video, a person wearing a pink shirt and carrying a bag walks past the gate from left to right, introducing a slight dynamic element to the previously static scene. The video concludes with the same static view of the gated area, the red and black scooter, and the busy street in the background, returning to the initial state of minimal movement. Throughout the video, a man wearing a green shirt and a yellow helmet stands between two white cars on the left, adding a consistent visual element to the scene.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video opens with a view of a gated area, which seems to be an entrance to a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on the pillars. Near the gate, a red and black scooter is parked. The background features a busy street with various vehicles, including a green bus and a white car, as well as several other cars. People are seen walking on the sidewalk, some of whom wear reflective vests, possibly indicating they are workers or security personnel. The scene is initially static, with minimal movement, and this static view continues for the first part of the video. In the middle section, the same gated area is shown again. The red and black scooter remains parked near the gate, and the background continues to display the busy street with the same vehicles and pedestrians. The scene remains static, maintaining its focus on the scooter and the surrounding environment. Towards the end of the video, a person wearing a pink shirt and carrying a bag walks past the gate from left to right, introducing a slight dynamic element to the previously static scene. The video concludes with the same static view of the gated area, the red and black scooter, and the busy street in the background, returning to the initial state of minimal movement. Throughout the video, a man wearing a green shirt and a yellow helmet stands between two white cars on the left, adding a consistent visual element to the scene."
}
] |
Could you provide a detailed walkthrough of the entire video, including all the key elements and any changes that occur?
|
summary_qa_pairs
|
D001_01_7.json
|
D001_01_summary_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The man is wearing a green shirt and a yellow helmet. He is standing between two white cars on the left side of the scene. The environment around him includes a gated area, likely an entrance to a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on the pillars. Near the gate, there is a red and black scooter parked. The background features a busy street with various vehicles, including a green bus and a white car, as well as several other cars. People are seen walking on the sidewalk, some of whom wear reflective vests, possibly indicating they are workers or security personnel.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The man is wearing a green shirt and a yellow helmet. He is standing between two white cars on the left side of the scene. The environment around him includes a gated area, likely an entrance to a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on the pillars. Near the gate, there is a red and black scooter parked. The background features a busy street with various vehicles, including a green bus and a white car, as well as several other cars. People are seen walking on the sidewalk, some of whom wear reflective vests, possibly indicating they are workers or security personnel."
}
] |
Describe the appearance and attire of the man standing between the two white cars, and provide details about the surrounding environment.
|
generic_qa_pairs
|
D001_01_7.json
|
D001_01_generic_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
Towards the end of the video, a person wearing a pink shirt and carrying a bag walks past the gate from left to right. This introduces a slight dynamic element to the previously static scene. The person's trajectory is a straight line, moving horizontally across the frame. This movement breaks the monotony of the static view, adding a brief moment of activity and change to the otherwise unchanging environment. After the person passes, the scene returns to its initial state of minimal movement, with the focus once again on the gated area, the red and black scooter, and the busy street in the background.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "Towards the end of the video, a person wearing a pink shirt and carrying a bag walks past the gate from left to right. This introduces a slight dynamic element to the previously static scene. The person's trajectory is a straight line, moving horizontally across the frame. This movement breaks the monotony of the static view, adding a brief moment of activity and change to the otherwise unchanging environment. After the person passes, the scene returns to its initial state of minimal movement, with the focus once again on the gated area, the red and black scooter, and the busy street in the background."
}
] |
Explain the motion and trajectory of the person who walks past the gate towards the end of the video. How does this movement affect the overall scene?
|
generic_qa_pairs
|
D001_01_7.json
|
D001_01_generic_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The gated area, with its black metal gate and yellow and white striped pillars, suggests that it is an entrance to a parking lot or a restricted zone. The presence of a red and black scooter parked near the gate, along with the busy street and various vehicles in the background, indicates that this is a high-traffic area. The pedestrians, some of whom are wearing reflective vests, suggest that they may be workers or security personnel, possibly managing the flow of traffic or ensuring safety in the area. The overall setting implies that this is a controlled access point, likely for a building or facility that requires some level of security or management. The static nature of the scene, with minimal movement, further supports the idea that this is a regulated and monitored area.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The gated area, with its black metal gate and yellow and white striped pillars, suggests that it is an entrance to a parking lot or a restricted zone. The presence of a red and black scooter parked near the gate, along with the busy street and various vehicles in the background, indicates that this is a high-traffic area. The pedestrians, some of whom are wearing reflective vests, suggest that they may be workers or security personnel, possibly managing the flow of traffic or ensuring safety in the area. The overall setting implies that this is a controlled access point, likely for a building or facility that requires some level of security or management. The static nature of the scene, with minimal movement, further supports the idea that this is a regulated and monitored area."
}
] |
What reasoning can be inferred about the purpose of the gated area and the activities of the people and vehicles in the background?
|
generic_qa_pairs
|
D001_01_7.json
|
D001_01_generic_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The video begins with a view of a gated area, likely an entrance to a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on the pillars. Near the gate, a red and black scooter is parked. The background features a busy street with various vehicles, including a green bus and a white car, as well as several other cars. People are seen walking on the sidewalk, some of whom wear reflective vests, possibly indicating they are workers or security personnel. The scene remains static, with minimal movement, primarily focusing on the scooter and the surrounding environment.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video begins with a view of a gated area, likely an entrance to a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on the pillars. Near the gate, a red and black scooter is parked. The background features a busy street with various vehicles, including a green bus and a white car, as well as several other cars. People are seen walking on the sidewalk, some of whom wear reflective vests, possibly indicating they are workers or security personnel. The scene remains static, with minimal movement, primarily focusing on the scooter and the surrounding environment."
}
] |
What is the initial scene of the video, and what key elements are present at the beginning?
|
temporal_qa_pairs
|
D001_01_7.json
|
D001_01_temporal_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
In the middle section of the video, the scene remains largely unchanged. The same gated area is shown, with the red and black scooter still parked near the gate. The background continues to display the busy street with the same vehicles and pedestrians. The scene remains static, maintaining its focus on the scooter and the surrounding environment, similar to the beginning of the video. There are no significant changes or new elements introduced during this part.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "In the middle section of the video, the scene remains largely unchanged. The same gated area is shown, with the red and black scooter still parked near the gate. The background continues to display the busy street with the same vehicles and pedestrians. The scene remains static, maintaining its focus on the scooter and the surrounding environment, similar to the beginning of the video. There are no significant changes or new elements introduced during this part."
}
] |
What significant changes, if any, occur in the middle section of the video, and how does the scene compare to the beginning?
|
temporal_qa_pairs
|
D001_01_7.json
|
D001_01_temporal_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
Towards the end of the video, a person wearing a pink shirt and carrying a bag walks past the gate from left to right. This introduces a slight dynamic element to the previously static scene. After this, the video concludes by returning to the same static view of the gated area, the red and black scooter, and the busy street in the background, reverting to the initial state of minimal movement. The final scene is very similar to the beginning, with the only notable difference being the brief appearance of the person walking past the gate.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "Towards the end of the video, a person wearing a pink shirt and carrying a bag walks past the gate from left to right. This introduces a slight dynamic element to the previously static scene. After this, the video concludes by returning to the same static view of the gated area, the red and black scooter, and the busy street in the background, reverting to the initial state of minimal movement. The final scene is very similar to the beginning, with the only notable difference being the brief appearance of the person walking past the gate."
}
] |
What significant event occurs towards the end of the video, and how does it conclude?
|
temporal_qa_pairs
|
D001_01_7.json
|
D001_01_temporal_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The man is wearing a green shirt and a yellow helmet.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The man is wearing a green shirt and a yellow helmet."
}
] |
What is the color of the man's shirt and helmet in the video?
|
spatial_qa_pairs
|
D001_01_7.json
|
D001_01_spatial_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The video shows a gated area, likely an entrance to a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on the pillars. Near the gate, there is a red and black scooter parked. The background features a busy street with various vehicles, including a green bus and a white car, as well as several other cars. People are seen walking on the sidewalk, some of whom wear reflective vests, possibly indicating they are workers or security personnel.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video shows a gated area, likely an entrance to a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on the pillars. Near the gate, there is a red and black scooter parked. The background features a busy street with various vehicles, including a green bus and a white car, as well as several other cars. People are seen walking on the sidewalk, some of whom wear reflective vests, possibly indicating they are workers or security personnel."
}
] |
Describe the setting and the objects near the gate in the video.
|
spatial_qa_pairs
|
D001_01_7.json
|
D001_01_spatial_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The two white cars are located on the left side of the man, who is standing between them. The man is wearing a green shirt and a yellow helmet.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The two white cars are located on the left side of the man, who is standing between them. The man is wearing a green shirt and a yellow helmet."
}
] |
What is the appearance and location of the two white cars in the video?
|
spatial_qa_pairs
|
D001_01_7.json
|
D001_01_spatial_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The man in the green shirt and yellow helmet is standing between two white cars on the left.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The man in the green shirt and yellow helmet is standing between two white cars on the left."
}
] |
What is the man in the green shirt and yellow helmet doing in the video?
|
reasoning_qa_pairs
|
D001_01_7.json
|
D001_01_reasoning_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The red and black scooter is parked near the gate, which is made of black metal with yellow and white stripes on the pillars.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The red and black scooter is parked near the gate, which is made of black metal with yellow and white stripes on the pillars."
}
] |
Where is the red and black scooter parked in relation to the gate?
|
reasoning_qa_pairs
|
D001_01_7.json
|
D001_01_reasoning_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The scene remains static for most of the video because there is minimal movement, primarily focusing on the parked scooter and the surrounding environment, with only a slight dynamic element introduced when a person walks past the gate towards the end.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The scene remains static for most of the video because there is minimal movement, primarily focusing on the parked scooter and the surrounding environment, with only a slight dynamic element introduced when a person walks past the gate towards the end."
}
] |
Why does the scene remain static for most of the video?
|
reasoning_qa_pairs
|
D001_01_7.json
|
D001_01_reasoning_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The person wearing a pink shirt and carrying a bag appears towards the end of the video, walking past the gate from left to right.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The person wearing a pink shirt and carrying a bag appears towards the end of the video, walking past the gate from left to right."
}
] |
When does the person wearing a pink shirt and carrying a bag appear in the video?
|
short_temporal_qa_pairs
|
D001_01_7.json
|
D001_01_short_temporal_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
In the middle section of the video, the scene remains static, showing the same gated area with the red and black scooter parked near the gate and the busy street in the background. There is minimal movement, and the focus is on the scooter and the surrounding environment.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "In the middle section of the video, the scene remains static, showing the same gated area with the red and black scooter parked near the gate and the busy street in the background. There is minimal movement, and the focus is on the scooter and the surrounding environment."
}
] |
What happens in the middle section of the video?
|
short_temporal_qa_pairs
|
D001_01_7.json
|
D001_01_short_temporal_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
At the beginning of the video, the scene opens with a view of a gated area, likely an entrance to a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on the pillars. A red and black scooter is parked near the gate, and the background shows a busy street with various vehicles, including a green bus and a white car, as well as several other cars. People, some wearing reflective vests, are seen walking on the sidewalk.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "At the beginning of the video, the scene opens with a view of a gated area, likely an entrance to a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on the pillars. A red and black scooter is parked near the gate, and the background shows a busy street with various vehicles, including a green bus and a white car, as well as several other cars. People, some wearing reflective vests, are seen walking on the sidewalk."
}
] |
What happens at the beginning of the video?
|
short_temporal_qa_pairs
|
D001_01_7.json
|
D001_01_short_temporal_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The video begins with a static view of a gated area, which appears to be a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on its pillars. A red and black motorbike is parked near the gate. To the left of the gate, there is a small building with a blue door and windows. The road in front of the gate features various vehicles, including a white car, a green bus, and a few other cars. Pedestrians are visible on the sidewalk, some holding umbrellas. The scene remains largely static, with minimal movement from both vehicles and pedestrians. As the video continues, the same scene is depicted, maintaining the static nature of the environment. The red and black motorbike remains parked near the gate, and the small building with the blue door and windows is still visible to the left of the gate. The road in front of the gate still includes a white car, a green bus, and a few other cars. Pedestrians continue to be seen on the sidewalk, some holding umbrellas. The scene remains static, with no significant changes in the position of the vehicles or pedestrians. As the video progresses, a woman riding an electric scooter with a red awning appears from the right side of the screen and moves towards the left. She passes by the static vehicles and pedestrians, maintaining a steady pace. The scene continues to remain largely unchanged, with only the woman's movement adding dynamic action to the otherwise static setting.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video begins with a static view of a gated area, which appears to be a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on its pillars. A red and black motorbike is parked near the gate. To the left of the gate, there is a small building with a blue door and windows. The road in front of the gate features various vehicles, including a white car, a green bus, and a few other cars. Pedestrians are visible on the sidewalk, some holding umbrellas. The scene remains largely static, with minimal movement from both vehicles and pedestrians. As the video continues, the same scene is depicted, maintaining the static nature of the environment. The red and black motorbike remains parked near the gate, and the small building with the blue door and windows is still visible to the left of the gate. The road in front of the gate still includes a white car, a green bus, and a few other cars. Pedestrians continue to be seen on the sidewalk, some holding umbrellas. The scene remains static, with no significant changes in the position of the vehicles or pedestrians. As the video progresses, a woman riding an electric scooter with a red awning appears from the right side of the screen and moves towards the left. She passes by the static vehicles and pedestrians, maintaining a steady pace. The scene continues to remain largely unchanged, with only the woman's movement adding dynamic action to the otherwise static setting."
}
] |
Can you describe the entire video in detail from start to finish, including all the key actions and events?
|
summary_qa_pairs
|
D001_01_8.json
|
D001_01_summary_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The video starts with a static view of a gated area, likely a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on its pillars. A red and black motorbike is parked near the gate. To the left of the gate, there is a small building with a blue door and windows. The road in front of the gate features various vehicles, including a white car, a green bus, and a few other cars. Pedestrians are visible on the sidewalk, some holding umbrellas. The scene remains static, with minimal movement from both vehicles and pedestrians. The video continues to show the same scene, with the red and black motorbike still parked near the gate, and the small building with the blue door and windows still visible to the left of the gate. The road in front of the gate still includes a white car, a green bus, and a few other cars. Pedestrians continue to be seen on the sidewalk, some holding umbrellas. The scene remains static, with no significant changes in the position of the vehicles or pedestrians. As the video progresses, a woman riding an electric scooter with a red awning appears from the right side of the screen and moves towards the left. She passes by the static vehicles and pedestrians, maintaining a steady pace. The scene continues to remain largely unchanged, with only the woman's movement adding dynamic action to the otherwise static setting.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video starts with a static view of a gated area, likely a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on its pillars. A red and black motorbike is parked near the gate. To the left of the gate, there is a small building with a blue door and windows. The road in front of the gate features various vehicles, including a white car, a green bus, and a few other cars. Pedestrians are visible on the sidewalk, some holding umbrellas. The scene remains static, with minimal movement from both vehicles and pedestrians. The video continues to show the same scene, with the red and black motorbike still parked near the gate, and the small building with the blue door and windows still visible to the left of the gate. The road in front of the gate still includes a white car, a green bus, and a few other cars. Pedestrians continue to be seen on the sidewalk, some holding umbrellas. The scene remains static, with no significant changes in the position of the vehicles or pedestrians. As the video progresses, a woman riding an electric scooter with a red awning appears from the right side of the screen and moves towards the left. She passes by the static vehicles and pedestrians, maintaining a steady pace. The scene continues to remain largely unchanged, with only the woman's movement adding dynamic action to the otherwise static setting."
}
] |
What happens throughout the entire video, including all key actions and events, and how does the scene change over time?
|
summary_qa_pairs
|
D001_01_8.json
|
D001_01_summary_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The video begins with a static view of a gated area, which appears to be a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on its pillars. A red and black motorbike is parked near the gate. To the left of the gate, there is a small building with a blue door and windows. The road in front of the gate features various vehicles, including a white car, a green bus, and a few other cars. Pedestrians are visible on the sidewalk, some holding umbrellas. The scene remains largely static, with minimal movement from both vehicles and pedestrians. The video continues to depict the same scene, maintaining the static nature of the environment. The red and black motorbike remains parked near the gate, and the small building with the blue door and windows is still visible to the left of the gate. The road in front of the gate still includes a white car, a green bus, and a few other cars. Pedestrians continue to be seen on the sidewalk, some holding umbrellas. The scene remains static, with no significant changes in the position of the vehicles or pedestrians. As the video progresses, a woman riding an electric scooter with a red awning appears from the right side of the screen and moves towards the left. She passes by the static vehicles and pedestrians, maintaining a steady pace. The scene continues to remain largely unchanged, with only the woman's movement adding dynamic action to the otherwise static setting. The video ends with the woman continuing her journey, moving out of the frame to the left, while the rest of the scene remains static.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video begins with a static view of a gated area, which appears to be a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on its pillars. A red and black motorbike is parked near the gate. To the left of the gate, there is a small building with a blue door and windows. The road in front of the gate features various vehicles, including a white car, a green bus, and a few other cars. Pedestrians are visible on the sidewalk, some holding umbrellas. The scene remains largely static, with minimal movement from both vehicles and pedestrians. The video continues to depict the same scene, maintaining the static nature of the environment. The red and black motorbike remains parked near the gate, and the small building with the blue door and windows is still visible to the left of the gate. The road in front of the gate still includes a white car, a green bus, and a few other cars. Pedestrians continue to be seen on the sidewalk, some holding umbrellas. The scene remains static, with no significant changes in the position of the vehicles or pedestrians. As the video progresses, a woman riding an electric scooter with a red awning appears from the right side of the screen and moves towards the left. She passes by the static vehicles and pedestrians, maintaining a steady pace. The scene continues to remain largely unchanged, with only the woman's movement adding dynamic action to the otherwise static setting. The video ends with the woman continuing her journey, moving out of the frame to the left, while the rest of the scene remains static."
}
] |
Could you provide a detailed walkthrough of the entire video, including all the visual and temporal details from start to end?
|
summary_qa_pairs
|
D001_01_8.json
|
D001_01_summary_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The woman in the video is wearing a white top. She is riding an electric scooter, which has a red awning. The woman enters the scene from the right side of the screen and moves steadily towards the left. As she rides, she passes by the static vehicles and pedestrians, maintaining a consistent pace throughout her journey.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The woman in the video is wearing a white top. She is riding an electric scooter, which has a red awning. The woman enters the scene from the right side of the screen and moves steadily towards the left. As she rides, she passes by the static vehicles and pedestrians, maintaining a consistent pace throughout her journey."
}
] |
Can you provide a detailed description of the appearance and activities of the woman riding the electric scooter?
|
generic_qa_pairs
|
D001_01_8.json
|
D001_01_generic_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The woman on the electric scooter appears from the right side of the screen and moves towards the left. She maintains a steady pace as she travels, passing by the static vehicles and pedestrians. Her trajectory is a straight line from right to left, adding dynamic action to the otherwise static setting of the scene.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The woman on the electric scooter appears from the right side of the screen and moves towards the left. She maintains a steady pace as she travels, passing by the static vehicles and pedestrians. Her trajectory is a straight line from right to left, adding dynamic action to the otherwise static setting of the scene."
}
] |
Describe the trajectory and motion of the woman on the electric scooter.
|
generic_qa_pairs
|
D001_01_8.json
|
D001_01_generic_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The setting of the video includes a gated area, possibly a parking lot or a restricted zone, with a black metal gate that has yellow and white stripes on its pillars. A red and black motorbike is parked near the gate, and to the left, there is a small building with a blue door and windows. The road in front of the gate features various vehicles, including a white car, a green bus, and a few other cars. Pedestrians are visible on the sidewalk, some holding umbrellas. The environment remains largely static, with minimal movement from both vehicles and pedestrians. The key interaction with the main activity is that the woman on the electric scooter moves through this static setting, passing by the parked vehicles and pedestrians, which provides a contrast between the dynamic action of the scooter and the stillness of the surroundings.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The setting of the video includes a gated area, possibly a parking lot or a restricted zone, with a black metal gate that has yellow and white stripes on its pillars. A red and black motorbike is parked near the gate, and to the left, there is a small building with a blue door and windows. The road in front of the gate features various vehicles, including a white car, a green bus, and a few other cars. Pedestrians are visible on the sidewalk, some holding umbrellas. The environment remains largely static, with minimal movement from both vehicles and pedestrians. The key interaction with the main activity is that the woman on the electric scooter moves through this static setting, passing by the parked vehicles and pedestrians, which provides a contrast between the dynamic action of the scooter and the stillness of the surroundings."
}
] |
What are the key elements of the setting and how do they interact with the main activity in the video?
|
generic_qa_pairs
|
D001_01_8.json
|
D001_01_generic_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The video begins with a static view of a gated area, which appears to be a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on its pillars. Near the gate, there is a red and black motorbike parked. To the left of the gate, a small building with a blue door and windows is visible. The road in front of the gate features various vehicles, including a white car, a green bus, and a few other cars. Pedestrians can also be seen on the sidewalk, some holding umbrellas. The scene remains largely static with minimal movement from both vehicles and pedestrians.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video begins with a static view of a gated area, which appears to be a parking lot or a restricted zone. The gate is made of black metal with yellow and white stripes on its pillars. Near the gate, there is a red and black motorbike parked. To the left of the gate, a small building with a blue door and windows is visible. The road in front of the gate features various vehicles, including a white car, a green bus, and a few other cars. Pedestrians can also be seen on the sidewalk, some holding umbrellas. The scene remains largely static with minimal movement from both vehicles and pedestrians."
}
] |
What is the initial scene of the video, and what are the key elements visible at the beginning?
|
temporal_qa_pairs
|
D001_01_8.json
|
D001_01_temporal_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The woman riding an electric scooter with a red awning appears midway through the video. She enters the scene from the right side of the screen and moves towards the left. Her appearance adds dynamic action to the otherwise static setting. As she passes by the static vehicles and pedestrians, she maintains a steady pace, providing a contrast to the unchanging environment around her.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The woman riding an electric scooter with a red awning appears midway through the video. She enters the scene from the right side of the screen and moves towards the left. Her appearance adds dynamic action to the otherwise static setting. As she passes by the static vehicles and pedestrians, she maintains a steady pace, providing a contrast to the unchanging environment around her."
}
] |
When does the woman on the electric scooter appear, and how does her presence affect the scene?
|
temporal_qa_pairs
|
D001_01_8.json
|
D001_01_temporal_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The video concludes with the woman on the electric scooter continuing her journey from right to left. The scene remains largely unchanged, with the static elements such as the gate, the parked motorbike, the small building, and the vehicles and pedestrians on the road and sidewalk remaining in their original positions. The only significant change is the continued movement of the woman on the scooter, which provides the primary dynamic element in the final part of the video. The video ends with her moving out of the frame, leaving the static scene behind.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video concludes with the woman on the electric scooter continuing her journey from right to left. The scene remains largely unchanged, with the static elements such as the gate, the parked motorbike, the small building, and the vehicles and pedestrians on the road and sidewalk remaining in their original positions. The only significant change is the continued movement of the woman on the scooter, which provides the primary dynamic element in the final part of the video. The video ends with her moving out of the frame, leaving the static scene behind."
}
] |
How does the video conclude, and what significant changes, if any, occur in the final part of the video?
|
temporal_qa_pairs
|
D001_01_8.json
|
D001_01_temporal_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The woman is wearing a white top while riding the electric scooter.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The woman is wearing a white top while riding the electric scooter."
}
] |
What is the color of the woman's top as she rides the electric scooter?
|
spatial_qa_pairs
|
D001_01_8.json
|
D001_01_spatial_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The electric scooter the woman is riding has a red awning.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The electric scooter the woman is riding has a red awning."
}
] |
Describe the appearance of the electric scooter the woman is riding.
|
spatial_qa_pairs
|
D001_01_8.json
|
D001_01_spatial_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The scene includes a red and black motorbike parked near the gate, a white car, and a green bus, along with a few other cars on the road.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The scene includes a red and black motorbike parked near the gate, a white car, and a green bus, along with a few other cars on the road."
}
] |
What are the colors and types of vehicles visible in the scene?
|
spatial_qa_pairs
|
D001_01_8.json
|
D001_01_spatial_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The woman in the white top is riding an electric scooter with a red awning from right to left.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The woman in the white top is riding an electric scooter with a red awning from right to left."
}
] |
What is the woman in the white top doing in the video?
|
reasoning_qa_pairs
|
D001_01_8.json
|
D001_01_reasoning_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The woman on the electric scooter appears from the right side of the screen and moves towards the left.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The woman on the electric scooter appears from the right side of the screen and moves towards the left."
}
] |
Where does the woman on the electric scooter appear and move to in the video?
|
reasoning_qa_pairs
|
D001_01_8.json
|
D001_01_reasoning_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The scene remains largely unchanged because the environment, including the vehicles and pedestrians, is static, with only the woman's movement adding dynamic action to the otherwise static setting.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The scene remains largely unchanged because the environment, including the vehicles and pedestrians, is static, with only the woman's movement adding dynamic action to the otherwise static setting."
}
] |
Why does the scene remain largely unchanged except for the woman's movement?
|
reasoning_qa_pairs
|
D001_01_8.json
|
D001_01_reasoning_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
The woman on the electric scooter with a red awning appears towards the middle of the video, entering from the right side and moving towards the left.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The woman on the electric scooter with a red awning appears towards the middle of the video, entering from the right side and moving towards the left."
}
] |
When does the woman on the electric scooter appear in the video?
|
short_temporal_qa_pairs
|
D001_01_8.json
|
D001_01_short_temporal_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
Before the woman on the electric scooter appears, the video shows a static view of a gated area with a black metal gate, a red and black motorbike parked near the gate, a small building with a blue door, and various vehicles and pedestrians. The scene remains largely unchanged with minimal movement.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "Before the woman on the electric scooter appears, the video shows a static view of a gated area with a black metal gate, a red and black motorbike parked near the gate, a small building with a blue door, and various vehicles and pedestrians. The scene remains largely unchanged with minimal movement."
}
] |
What happens before the woman on the electric scooter appears?
|
short_temporal_qa_pairs
|
D001_01_8.json
|
D001_01_short_temporal_qa_pairs
|
D001_01
|
[
"D001_01_00.jpg",
"D001_01_01.jpg",
"D001_01_02.jpg",
"D001_01_03.jpg",
"D001_01_04.jpg",
"D001_01_05.jpg",
"D001_01_06.jpg",
"D001_01_07.jpg",
"D001_01_08.jpg",
"D001_01_09.jpg",
"D001_01_10.jpg",
"D001_01_11.jpg",
"D001_01_12.jpg",
"D001_01_13.jpg",
"D001_01_14.jpg",
"D001_01_15.jpg"
] |
After the woman on the electric scooter appears, she adds dynamic action to the otherwise static scene by riding from the right side of the screen to the left, passing by the static vehicles and pedestrians. The rest of the scene, including the gate, the motorbike, the small building, and the other vehicles, remains largely unchanged.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_01_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "After the woman on the electric scooter appears, she adds dynamic action to the otherwise static scene by riding from the right side of the screen to the left, passing by the static vehicles and pedestrians. The rest of the scene, including the gate, the motorbike, the small building, and the other vehicles, remains largely unchanged."
}
] |
How does the scene change after the woman on the electric scooter appears?
|
short_temporal_qa_pairs
|
D001_01_8.json
|
D001_01_short_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The video begins with a view of a gated area, likely an entrance to a facility or parking lot. The gate is made of black metal with yellow and white stripes along the bottom edge. Adjacent to the gate is a small building with a blue door and windows. The ground is paved with concrete, and there are yellow and white painted lines marking the area. A red and black motorbike is parked near the gate. Several vehicles, including a white car, a green bus, and a few other cars, are visible on the road in the background. A man wearing a black shirt and red pants approaches the gate from the right side of the frame, walking past the motorbike. He holds a large broom in his hand. The scene remains static with minimal movement, focusing on the man's interaction with the gate. The man walks past the motorbike and continues toward the black fence gate. As he passes through the frame, he is seen holding the broom, which is noticeably large compared to his size. The sequence of actions highlights the man’s steady progression from the right side of the frame towards the gate.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video begins with a view of a gated area, likely an entrance to a facility or parking lot. The gate is made of black metal with yellow and white stripes along the bottom edge. Adjacent to the gate is a small building with a blue door and windows. The ground is paved with concrete, and there are yellow and white painted lines marking the area. A red and black motorbike is parked near the gate. Several vehicles, including a white car, a green bus, and a few other cars, are visible on the road in the background. A man wearing a black shirt and red pants approaches the gate from the right side of the frame, walking past the motorbike. He holds a large broom in his hand. The scene remains static with minimal movement, focusing on the man's interaction with the gate. The man walks past the motorbike and continues toward the black fence gate. As he passes through the frame, he is seen holding the broom, which is noticeably large compared to his size. The sequence of actions highlights the man’s steady progression from the right side of the frame towards the gate."
}
] |
Can you describe the entire video in detail from start to finish?
|
summary_qa_pairs
|
D001_02_1.json
|
D001_02_summary_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The video starts with a view of a gated area, which appears to be an entrance to a facility or parking lot. The gate is made of black metal with yellow and white stripes along the bottom edge. Next to the gate, there is a small building with a blue door and windows. The ground is paved with concrete, and yellow and white painted lines mark the area. A red and black motorbike is parked near the gate, and several vehicles, including a white car, a green bus, and a few other cars, are visible on the road in the background. A man wearing a black shirt and red pants enters the frame from the right side, walking past the motorbike. He is holding a large broom in his hand. The scene is relatively static, with the focus on the man as he walks past the motorbike and continues toward the black fence gate. The broom he is carrying is notably large compared to his size. The video captures the man’s steady progression from the right side of the frame towards the gate, highlighting his approach and passing by the gate.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video starts with a view of a gated area, which appears to be an entrance to a facility or parking lot. The gate is made of black metal with yellow and white stripes along the bottom edge. Next to the gate, there is a small building with a blue door and windows. The ground is paved with concrete, and yellow and white painted lines mark the area. A red and black motorbike is parked near the gate, and several vehicles, including a white car, a green bus, and a few other cars, are visible on the road in the background. A man wearing a black shirt and red pants enters the frame from the right side, walking past the motorbike. He is holding a large broom in his hand. The scene is relatively static, with the focus on the man as he walks past the motorbike and continues toward the black fence gate. The broom he is carrying is notably large compared to his size. The video captures the man’s steady progression from the right side of the frame towards the gate, highlighting his approach and passing by the gate."
}
] |
What happens throughout the entire video, including all key actions and events?
|
summary_qa_pairs
|
D001_02_1.json
|
D001_02_summary_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The video opens with a view of a gated area, which seems to be an entrance to a facility or parking lot. The gate is made of black metal and has yellow and white stripes along the bottom edge. To the side of the gate, there is a small building with a blue door and windows. The ground is paved with concrete, and yellow and white painted lines mark the area. A red and black motorbike is parked near the gate. In the background, several vehicles, including a white car, a green bus, and a few other cars, can be seen on the road. A man wearing a black shirt and red pants enters the frame from the right side, walking past the motorbike. He is holding a large broom in his hand. The scene is relatively static, with minimal movement, and the focus is on the man as he walks past the motorbike and continues toward the black fence gate. The broom he is carrying is noticeably large compared to his size. The video captures the man’s steady progression from the right side of the frame towards the gate, emphasizing his approach and passing by the gate.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video opens with a view of a gated area, which seems to be an entrance to a facility or parking lot. The gate is made of black metal and has yellow and white stripes along the bottom edge. To the side of the gate, there is a small building with a blue door and windows. The ground is paved with concrete, and yellow and white painted lines mark the area. A red and black motorbike is parked near the gate. In the background, several vehicles, including a white car, a green bus, and a few other cars, can be seen on the road. A man wearing a black shirt and red pants enters the frame from the right side, walking past the motorbike. He is holding a large broom in his hand. The scene is relatively static, with minimal movement, and the focus is on the man as he walks past the motorbike and continues toward the black fence gate. The broom he is carrying is noticeably large compared to his size. The video captures the man’s steady progression from the right side of the frame towards the gate, emphasizing his approach and passing by the gate."
}
] |
Could you provide a detailed walkthrough of the entire video?
|
summary_qa_pairs
|
D001_02_1.json
|
D001_02_summary_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The man in the video is wearing a black shirt and red pants. He is holding a large broom, which is noticeably big compared to his size. The scene includes a black metal fence gate with yellow and white stripes along the bottom edge. Adjacent to the gate, there is a small building with a blue door and windows. The ground is paved with concrete, and there are yellow and white painted lines marking the area. A red and black motorbike is parked near the gate, and several vehicles, including a white car, a green bus, and a few other cars, are visible on the road in the background.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The man in the video is wearing a black shirt and red pants. He is holding a large broom, which is noticeably big compared to his size. The scene includes a black metal fence gate with yellow and white stripes along the bottom edge. Adjacent to the gate, there is a small building with a blue door and windows. The ground is paved with concrete, and there are yellow and white painted lines marking the area. A red and black motorbike is parked near the gate, and several vehicles, including a white car, a green bus, and a few other cars, are visible on the road in the background."
}
] |
Describe the appearance of the man and the objects in the scene, including any notable details about the gate and the surroundings.
|
generic_qa_pairs
|
D001_02_1.json
|
D001_02_generic_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The man approaches the gate from the right side of the frame, walking past a red and black motorbike. He continues his steady progression towards the black fence gate, maintaining a consistent pace. As he passes through the frame, he holds the large broom in his hand. The sequence of actions highlights his continuous and linear movement from the right side of the frame, past the motorbike, and towards the gate. The scene remains static with minimal movement, focusing on the man’s interaction with the gate.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The man approaches the gate from the right side of the frame, walking past a red and black motorbike. He continues his steady progression towards the black fence gate, maintaining a consistent pace. As he passes through the frame, he holds the large broom in his hand. The sequence of actions highlights his continuous and linear movement from the right side of the frame, past the motorbike, and towards the gate. The scene remains static with minimal movement, focusing on the man’s interaction with the gate."
}
] |
Can you provide a detailed description of the man's motion and trajectory as he walks past the black fence gate?
|
generic_qa_pairs
|
D001_02_1.json
|
D001_02_generic_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The man's presence and the use of the large broom suggest that he is likely a maintenance or cleaning worker. His approach to the black fence gate, while holding the broom, indicates that he may be on his way to perform cleaning tasks, possibly in the area beyond the gate. The setting, which includes a gated area, a small building, and various vehicles, suggests that this could be an entrance to a facility or parking lot. The man's steady and purposeful walk, combined with the presence of the broom, implies that he has a specific task to complete, such as sweeping or cleaning the grounds within the facility.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The man's presence and the use of the large broom suggest that he is likely a maintenance or cleaning worker. His approach to the black fence gate, while holding the broom, indicates that he may be on his way to perform cleaning tasks, possibly in the area beyond the gate. The setting, which includes a gated area, a small building, and various vehicles, suggests that this could be an entrance to a facility or parking lot. The man's steady and purposeful walk, combined with the presence of the broom, implies that he has a specific task to complete, such as sweeping or cleaning the grounds within the facility."
}
] |
Explain the reasoning behind the man's actions and the context of the scene. What might be the purpose of his presence and the use of the broom?
|
generic_qa_pairs
|
D001_02_1.json
|
D001_02_generic_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The man in the black shirt and red pants first appears at the beginning of the video. He is seen approaching the gate from the right side of the frame, walking past a red and black motorbike. As he enters the scene, he is already holding a large broom in his hand.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The man in the black shirt and red pants first appears at the beginning of the video. He is seen approaching the gate from the right side of the frame, walking past a red and black motorbike. As he enters the scene, he is already holding a large broom in his hand."
}
] |
When does the man in the black shirt and red pants first appear, and what is he doing at that moment?
|
temporal_qa_pairs
|
D001_02_1.json
|
D001_02_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
After the man walks past the motorbike, he continues to move steadily towards the black fence gate. The sequence of actions shows him walking through the frame while holding the large broom. The scene remains relatively static, with minimal movement, focusing on the man's progression from the right side of the frame to the gate. By the end of the video, the man has walked past the black fence gate, still holding the broom.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "After the man walks past the motorbike, he continues to move steadily towards the black fence gate. The sequence of actions shows him walking through the frame while holding the large broom. The scene remains relatively static, with minimal movement, focusing on the man's progression from the right side of the frame to the gate. By the end of the video, the man has walked past the black fence gate, still holding the broom."
}
] |
What actions occur after the man walks past the motorbike, and how do they progress towards the end of the video?
|
temporal_qa_pairs
|
D001_02_1.json
|
D001_02_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
Midway through the video, the man is seen passing the black fence gate. This is a significant event as it marks the midpoint of his journey across the frame. The transition from earlier to later scenes is smooth and steady, with the man continuing his walk from the right side of the frame, past the motorbike, and then through the gate. The focus remains on his steady progression, highlighting the consistent and uninterrupted nature of his movement.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "Midway through the video, the man is seen passing the black fence gate. This is a significant event as it marks the midpoint of his journey across the frame. The transition from earlier to later scenes is smooth and steady, with the man continuing his walk from the right side of the frame, past the motorbike, and then through the gate. The focus remains on his steady progression, highlighting the consistent and uninterrupted nature of his movement."
}
] |
What significant events happen midway through the video, and how do they transition from earlier to later scenes?
|
temporal_qa_pairs
|
D001_02_1.json
|
D001_02_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The man is wearing a black shirt and red pants.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The man is wearing a black shirt and red pants."
}
] |
What is the man wearing in the video?
|
spatial_qa_pairs
|
D001_02_1.json
|
D001_02_spatial_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The gate is made of black metal with yellow and white stripes along the bottom edge. Adjacent to the gate is a small building with a blue door and windows. The ground is paved with concrete, and there are yellow and white painted lines marking the area. A red and black motorbike is parked near the gate.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The gate is made of black metal with yellow and white stripes along the bottom edge. Adjacent to the gate is a small building with a blue door and windows. The ground is paved with concrete, and there are yellow and white painted lines marking the area. A red and black motorbike is parked near the gate."
}
] |
Describe the gate and the area around it.
|
spatial_qa_pairs
|
D001_02_1.json
|
D001_02_spatial_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The man is holding a large broom in his hand.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The man is holding a large broom in his hand."
}
] |
What is the man holding as he walks past the gate?
|
spatial_qa_pairs
|
D001_02_1.json
|
D001_02_spatial_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The man is wearing a black shirt and red pants.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The man is wearing a black shirt and red pants."
}
] |
What is the man wearing in the video?
|
reasoning_qa_pairs
|
D001_02_1.json
|
D001_02_reasoning_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The man is holding a large broom.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The man is holding a large broom."
}
] |
What object is the man holding as he walks past the black fence gate?
|
reasoning_qa_pairs
|
D001_02_1.json
|
D001_02_reasoning_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The man walks from the right side of the frame, past the motorbike, and continues towards the black fence gate.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The man walks from the right side of the frame, past the motorbike, and continues towards the black fence gate."
}
] |
Where does the man walk from and to in the video?
|
reasoning_qa_pairs
|
D001_02_1.json
|
D001_02_reasoning_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The man with the black shirt and red pants appears at the beginning of the video. He approaches the gate from the right side of the frame, walking past a red and black motorbike.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The man with the black shirt and red pants appears at the beginning of the video. He approaches the gate from the right side of the frame, walking past a red and black motorbike."
}
] |
When does the man with the black shirt and red pants appear in the video?
|
short_temporal_qa_pairs
|
D001_02_1.json
|
D001_02_short_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
After the man walks past the motorbike, he continues towards the black fence gate, still holding the large broom. The scene remains static with minimal movement, focusing on his steady progression towards the gate.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "After the man walks past the motorbike, he continues towards the black fence gate, still holding the large broom. The scene remains static with minimal movement, focusing on his steady progression towards the gate."
}
] |
What happens after the man walks past the motorbike?
|
short_temporal_qa_pairs
|
D001_02_1.json
|
D001_02_short_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The sequence of events begins with the man appearing on the right side of the frame, walking past a red and black motorbike. He then continues to walk towards the black fence gate, holding a large broom. The entire sequence highlights his steady progression from the right side of the frame towards the gate, with the scene remaining relatively static throughout.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The sequence of events begins with the man appearing on the right side of the frame, walking past a red and black motorbike. He then continues to walk towards the black fence gate, holding a large broom. The entire sequence highlights his steady progression from the right side of the frame towards the gate, with the scene remaining relatively static throughout."
}
] |
Can you describe the sequence of events as the man moves through the frame?
|
short_temporal_qa_pairs
|
D001_02_1.json
|
D001_02_short_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The video begins with a view of a gated entrance to a parking area. In the foreground, a red and black scooter is parked prominently. Near the gate, a person wearing a beige shirt is standing, possibly waiting or observing. The background reveals a busy street with several vehicles, including white vans and green buses, passing by. Another individual, dressed in a black top and red pants, is seen walking across the street, carrying a bag. A person in white clothing then emerges from a building on the left side of the frame and walks toward the gate. As the scene progresses, the red and black scooter remains parked in the foreground, and the person in the beige shirt stays near the gate. The person in white clothing moves closer to the gate, appearing to be in motion. The busy street continues to show traffic with white vans and green buses passing by. The person in black and red is seen again walking across the street, carrying a bag. Finally, a white car approaches from the right and stops in front of the black fence gate, aligning with the ground-truth caption.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video begins with a view of a gated entrance to a parking area. In the foreground, a red and black scooter is parked prominently. Near the gate, a person wearing a beige shirt is standing, possibly waiting or observing. The background reveals a busy street with several vehicles, including white vans and green buses, passing by. Another individual, dressed in a black top and red pants, is seen walking across the street, carrying a bag. A person in white clothing then emerges from a building on the left side of the frame and walks toward the gate. As the scene progresses, the red and black scooter remains parked in the foreground, and the person in the beige shirt stays near the gate. The person in white clothing moves closer to the gate, appearing to be in motion. The busy street continues to show traffic with white vans and green buses passing by. The person in black and red is seen again walking across the street, carrying a bag. Finally, a white car approaches from the right and stops in front of the black fence gate, aligning with the ground-truth caption."
}
] |
Can you describe the entire video in detail from start to finish?
|
summary_qa_pairs
|
D001_02_10.json
|
D001_02_summary_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The video starts with a view of a gated entrance to a parking area, where a red and black scooter is parked in the foreground. A person in a beige shirt is standing near the gate, and the background shows a busy street with white vans and green buses passing by. An individual in a black top and red pants is seen walking across the street, carrying a bag. A person in white clothing comes out of a building on the left and walks toward the gate. Throughout the video, the red and black scooter remains parked, and the person in the beige shirt stays near the gate. The person in white clothing continues to move closer to the gate. The busy street keeps showing traffic, and the person in black and red is seen again walking across the street, still carrying a bag. The video concludes with a white car approaching from the right and stopping in front of the black fence gate, as stated in the ground-truth caption.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video starts with a view of a gated entrance to a parking area, where a red and black scooter is parked in the foreground. A person in a beige shirt is standing near the gate, and the background shows a busy street with white vans and green buses passing by. An individual in a black top and red pants is seen walking across the street, carrying a bag. A person in white clothing comes out of a building on the left and walks toward the gate. Throughout the video, the red and black scooter remains parked, and the person in the beige shirt stays near the gate. The person in white clothing continues to move closer to the gate. The busy street keeps showing traffic, and the person in black and red is seen again walking across the street, still carrying a bag. The video concludes with a white car approaching from the right and stopping in front of the black fence gate, as stated in the ground-truth caption."
}
] |
What happens throughout the entire video, including all key actions and events?
|
summary_qa_pairs
|
D001_02_10.json
|
D001_02_summary_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The video opens with a view of a gated entrance to a parking area. In the foreground, a red and black scooter is parked prominently. Near the gate, a person wearing a beige shirt is standing, possibly waiting or observing. The background reveals a busy street with several vehicles, including white vans and green buses, passing by. Another individual, dressed in a black top and red pants, is seen walking across the street, carrying a bag. A person in white clothing then emerges from a building on the left side of the frame and walks toward the gate. As the scene progresses, the red and black scooter remains parked in the foreground, and the person in the beige shirt stays near the gate. The person in white clothing moves closer to the gate, appearing to be in motion. The busy street continues to show traffic with white vans and green buses passing by. The person in black and red is seen again walking across the street, carrying a bag. Finally, a white car approaches from the right and stops in front of the black fence gate, aligning with the ground-truth caption.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video opens with a view of a gated entrance to a parking area. In the foreground, a red and black scooter is parked prominently. Near the gate, a person wearing a beige shirt is standing, possibly waiting or observing. The background reveals a busy street with several vehicles, including white vans and green buses, passing by. Another individual, dressed in a black top and red pants, is seen walking across the street, carrying a bag. A person in white clothing then emerges from a building on the left side of the frame and walks toward the gate. As the scene progresses, the red and black scooter remains parked in the foreground, and the person in the beige shirt stays near the gate. The person in white clothing moves closer to the gate, appearing to be in motion. The busy street continues to show traffic with white vans and green buses passing by. The person in black and red is seen again walking across the street, carrying a bag. Finally, a white car approaches from the right and stops in front of the black fence gate, aligning with the ground-truth caption."
}
] |
Could you provide a detailed walkthrough of the entire video?
|
summary_qa_pairs
|
D001_02_10.json
|
D001_02_summary_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The video opens with a view of a gated entrance to a parking area. In the foreground, a red and black scooter is parked prominently. Near the gate, a person wearing a beige shirt is standing, possibly waiting or observing. The background reveals a busy street with several vehicles, including white vans and green buses, passing by. Another individual wearing a black top and red pants is seen walking across the street, carrying a bag. A person in white clothing then emerges from a building on the left side of the frame and walks toward the gate.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video opens with a view of a gated entrance to a parking area. In the foreground, a red and black scooter is parked prominently. Near the gate, a person wearing a beige shirt is standing, possibly waiting or observing. The background reveals a busy street with several vehicles, including white vans and green buses, passing by. Another individual wearing a black top and red pants is seen walking across the street, carrying a bag. A person in white clothing then emerges from a building on the left side of the frame and walks toward the gate."
}
] |
Describe the appearance and setting of the scene, including any prominent objects and people present.
|
generic_qa_pairs
|
D001_02_10.json
|
D001_02_generic_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
As the scene progresses, the red and black scooter remains parked in the foreground, and the person in the beige shirt stays near the gate. The person in white clothing moves closer to the gate, appearing to be in motion. The busy street continues to show traffic with white vans and green buses passing by. The person in black and red is seen again walking across the street, carrying a bag. Finally, a white car approaches from the right and stops in front of the black fence gate, aligning with the ground-truth caption.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "As the scene progresses, the red and black scooter remains parked in the foreground, and the person in the beige shirt stays near the gate. The person in white clothing moves closer to the gate, appearing to be in motion. The busy street continues to show traffic with white vans and green buses passing by. The person in black and red is seen again walking across the street, carrying a bag. Finally, a white car approaches from the right and stops in front of the black fence gate, aligning with the ground-truth caption."
}
] |
Explain the motion and trajectory of the white car as it enters the scene and stops at the gate.
|
generic_qa_pairs
|
D001_02_10.json
|
D001_02_generic_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The white car stopping in front of the black fence gate suggests that the driver may be intending to enter the parking area. Given that a person in a beige shirt is already standing near the gate, it is possible that this person is there to either open the gate or to interact with the driver of the white car. The presence of the person in white clothing moving toward the gate also indicates that they might be involved in the process of managing access to the parking area, such as being a security guard or an attendant. The overall context, including the busy street and the various activities of other individuals, suggests that the white car's stop is likely related to a routine entry procedure for the parking area.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The white car stopping in front of the black fence gate suggests that the driver may be intending to enter the parking area. Given that a person in a beige shirt is already standing near the gate, it is possible that this person is there to either open the gate or to interact with the driver of the white car. The presence of the person in white clothing moving toward the gate also indicates that they might be involved in the process of managing access to the parking area, such as being a security guard or an attendant. The overall context, including the busy street and the various activities of other individuals, suggests that the white car's stop is likely related to a routine entry procedure for the parking area."
}
] |
What can you infer about the possible reasons for the white car stopping in front of the black fence gate?
|
generic_qa_pairs
|
D001_02_10.json
|
D001_02_generic_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
At the beginning of the video, the scene opens with a view of a gated entrance to a parking area. In the foreground, a red and black scooter is parked prominently. Near the gate, a person wearing a beige shirt is standing, possibly waiting or observing. The background reveals a busy street with several vehicles, including white vans and green buses, passing by. Another individual wearing a black top and red pants is seen walking across the street, carrying a bag.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "At the beginning of the video, the scene opens with a view of a gated entrance to a parking area. In the foreground, a red and black scooter is parked prominently. Near the gate, a person wearing a beige shirt is standing, possibly waiting or observing. The background reveals a busy street with several vehicles, including white vans and green buses, passing by. Another individual wearing a black top and red pants is seen walking across the street, carrying a bag."
}
] |
What happens at the beginning of the video, and what are the key elements visible in the scene?
|
temporal_qa_pairs
|
D001_02_10.json
|
D001_02_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
In the middle of the video, the red and black scooter remains parked in the foreground, and the person in the beige shirt continues to stand near the gate. A person in white clothing emerges from a building on the left side of the frame and walks toward the gate. The busy street continues to show traffic with white vans and green buses passing by. The person in black and red is seen again walking across the street, carrying a bag. These events create a sense of ongoing activity and set the stage for the arrival of the white car.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "In the middle of the video, the red and black scooter remains parked in the foreground, and the person in the beige shirt continues to stand near the gate. A person in white clothing emerges from a building on the left side of the frame and walks toward the gate. The busy street continues to show traffic with white vans and green buses passing by. The person in black and red is seen again walking across the street, carrying a bag. These events create a sense of ongoing activity and set the stage for the arrival of the white car."
}
] |
What significant events occur in the middle of the video, and how do they transition from earlier to later scenes?
|
temporal_qa_pairs
|
D001_02_10.json
|
D001_02_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The video concludes with the arrival of a white car, which approaches from the right and stops in front of the black fence gate. This event marks the end of the video, aligning with the ground-truth caption. The presence of the white car stopping at the gate is the final and most significant action, bringing the sequence of events to a close.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video concludes with the arrival of a white car, which approaches from the right and stops in front of the black fence gate. This event marks the end of the video, aligning with the ground-truth caption. The presence of the white car stopping at the gate is the final and most significant action, bringing the sequence of events to a close."
}
] |
How does the video conclude, and what significant event marks the end?
|
temporal_qa_pairs
|
D001_02_10.json
|
D001_02_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The color of the car that stops in front of the black fence gate is white.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The color of the car that stops in front of the black fence gate is white."
}
] |
What is the color of the car that stops in front of the black fence gate?
|
spatial_qa_pairs
|
D001_02_10.json
|
D001_02_spatial_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The person standing near the gate is wearing a beige shirt.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The person standing near the gate is wearing a beige shirt."
}
] |
Describe the outfit of the person standing near the gate.
|
spatial_qa_pairs
|
D001_02_10.json
|
D001_02_spatial_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The setting of the video is a gated entrance to a parking area. In the foreground, a red and black scooter is parked prominently. Near the gate, a person in a beige shirt is standing. The background shows a busy street with several vehicles, including white vans and green buses, passing by. Another individual wearing a black top and red pants is seen walking across the street, carrying a bag. A person in white clothing emerges from a building on the left side of the frame and walks toward the gate. The scene also includes a black fence gate where the white car eventually stops.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The setting of the video is a gated entrance to a parking area. In the foreground, a red and black scooter is parked prominently. Near the gate, a person in a beige shirt is standing. The background shows a busy street with several vehicles, including white vans and green buses, passing by. Another individual wearing a black top and red pants is seen walking across the street, carrying a bag. A person in white clothing emerges from a building on the left side of the frame and walks toward the gate. The scene also includes a black fence gate where the white car eventually stops."
}
] |
What is the setting of the video and what objects are visible in the scene?
|
spatial_qa_pairs
|
D001_02_10.json
|
D001_02_spatial_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The person in the beige shirt stays near the gate, possibly waiting or observing.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The person in the beige shirt stays near the gate, possibly waiting or observing."
}
] |
What does the person in the beige shirt do while the white car approaches and stops at the gate?
|
reasoning_qa_pairs
|
D001_02_10.json
|
D001_02_reasoning_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The white car stops in front of the black fence gate.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The white car stops in front of the black fence gate."
}
] |
Where does the white car stop in the video?
|
reasoning_qa_pairs
|
D001_02_10.json
|
D001_02_reasoning_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The person in white clothing may be approaching the gate to interact with the driver of the white car, possibly to open the gate or for some other interaction.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The person in white clothing may be approaching the gate to interact with the driver of the white car, possibly to open the gate or for some other interaction."
}
] |
Why might the person in white clothing be walking toward the gate as the white car approaches?
|
reasoning_qa_pairs
|
D001_02_10.json
|
D001_02_reasoning_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The white car appears and stops in front of the black fence gate towards the end of the video.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The white car appears and stops in front of the black fence gate towards the end of the video."
}
] |
When does the white car appear and stop in front of the black fence gate in the video?
|
short_temporal_qa_pairs
|
D001_02_10.json
|
D001_02_short_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
Before the white car arrives, a person in white clothing is seen walking toward the gate, and the busy street continues to show traffic with white vans and green buses passing by. Additionally, a person in black and red is seen walking across the street, carrying a bag.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "Before the white car arrives, a person in white clothing is seen walking toward the gate, and the busy street continues to show traffic with white vans and green buses passing by. Additionally, a person in black and red is seen walking across the street, carrying a bag."
}
] |
What happens before the white car arrives at the black fence gate?
|
short_temporal_qa_pairs
|
D001_02_10.json
|
D001_02_short_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
In the beginning of the video, the scene shows a gated entrance to a parking area with a red and black scooter parked in the foreground. A person wearing a beige shirt is standing near the gate, and there is a busy street in the background with several vehicles, including white vans and green buses, passing by. Another individual in black and red is seen walking across the street, carrying a bag.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "In the beginning of the video, the scene shows a gated entrance to a parking area with a red and black scooter parked in the foreground. A person wearing a beige shirt is standing near the gate, and there is a busy street in the background with several vehicles, including white vans and green buses, passing by. Another individual in black and red is seen walking across the street, carrying a bag."
}
] |
What is happening in the beginning of the video?
|
short_temporal_qa_pairs
|
D001_02_10.json
|
D001_02_short_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The video begins with a view of a gated area, likely an entrance to a parking lot or a similar facility. The black gate, which has decorative elements, is prominently featured and flanked by two pillars adorned with spherical lights at the top. In front of the gate, a red and black motorbike is parked on a concrete surface. To the right of the gate, a white van, a white SUV, and a green bus can be seen. A person dressed in white stands near the gate, possibly monitoring or controlling access. As the video progresses, a white car drives away from the left side of the screen towards the right, passing in front of the black gate. A pedestrian wearing a red skirt and a black top walks past the gate from right to left. The scene remains relatively static, focusing on the interaction between the person in white and the moving car and pedestrian.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video begins with a view of a gated area, likely an entrance to a parking lot or a similar facility. The black gate, which has decorative elements, is prominently featured and flanked by two pillars adorned with spherical lights at the top. In front of the gate, a red and black motorbike is parked on a concrete surface. To the right of the gate, a white van, a white SUV, and a green bus can be seen. A person dressed in white stands near the gate, possibly monitoring or controlling access. As the video progresses, a white car drives away from the left side of the screen towards the right, passing in front of the black gate. A pedestrian wearing a red skirt and a black top walks past the gate from right to left. The scene remains relatively static, focusing on the interaction between the person in white and the moving car and pedestrian."
}
] |
Can you describe the entire video in detail from start to finish?
|
summary_qa_pairs
|
D001_02_11.json
|
D001_02_summary_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The video starts with a view of a gated area, showing a black gate with decorative elements and two pillars with spherical lights. A red and black motorbike is parked in front of the gate on a concrete surface. To the right of the gate, there are a white van, a white SUV, and a green bus. A person dressed in white is standing near the gate, possibly monitoring or controlling access. As the video continues, a white car drives away from the left side of the screen towards the right, passing in front of the black gate. During this time, a pedestrian wearing a red skirt and a black top walks past the gate from right to left. The scene remains relatively static, with the focus on the person in white, the moving car, and the pedestrian.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video starts with a view of a gated area, showing a black gate with decorative elements and two pillars with spherical lights. A red and black motorbike is parked in front of the gate on a concrete surface. To the right of the gate, there are a white van, a white SUV, and a green bus. A person dressed in white is standing near the gate, possibly monitoring or controlling access. As the video continues, a white car drives away from the left side of the screen towards the right, passing in front of the black gate. During this time, a pedestrian wearing a red skirt and a black top walks past the gate from right to left. The scene remains relatively static, with the focus on the person in white, the moving car, and the pedestrian."
}
] |
What happens throughout the entire video, including all key actions and events?
|
summary_qa_pairs
|
D001_02_11.json
|
D001_02_summary_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The video opens with a view of a gated area, featuring a black gate with decorative elements and two pillars topped with spherical lights. A red and black motorbike is parked in front of the gate on a concrete surface. To the right of the gate, there are a white van, a white SUV, and a green bus. A person dressed in white is standing near the gate, likely monitoring or controlling access. As the video progresses, a white car drives away from the left side of the screen towards the right, passing in front of the black gate. Meanwhile, a pedestrian wearing a red skirt and a black top walks past the gate from right to left. The scene remains relatively static, with the main focus on the person in white, the moving car, and the pedestrian.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video opens with a view of a gated area, featuring a black gate with decorative elements and two pillars topped with spherical lights. A red and black motorbike is parked in front of the gate on a concrete surface. To the right of the gate, there are a white van, a white SUV, and a green bus. A person dressed in white is standing near the gate, likely monitoring or controlling access. As the video progresses, a white car drives away from the left side of the screen towards the right, passing in front of the black gate. Meanwhile, a pedestrian wearing a red skirt and a black top walks past the gate from right to left. The scene remains relatively static, with the main focus on the person in white, the moving car, and the pedestrian."
}
] |
Could you provide a detailed walkthrough of the entire video?
|
summary_qa_pairs
|
D001_02_11.json
|
D001_02_summary_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The video shows a gated area, likely an entrance to a parking lot or a similar facility. The gate is black with decorative elements and is flanked by two pillars, each adorned with spherical lights at the top. In front of the gate, a red and black motorbike is parked on a concrete surface. To the right of the gate, there are several vehicles: a white van, a white SUV, and a green bus. The scene also includes a person dressed in white standing near the gate, possibly monitoring or controlling access.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video shows a gated area, likely an entrance to a parking lot or a similar facility. The gate is black with decorative elements and is flanked by two pillars, each adorned with spherical lights at the top. In front of the gate, a red and black motorbike is parked on a concrete surface. To the right of the gate, there are several vehicles: a white van, a white SUV, and a green bus. The scene also includes a person dressed in white standing near the gate, possibly monitoring or controlling access."
}
] |
Describe the appearance of the setting and the objects involved in the video, including the gate and the vehicles.
|
generic_qa_pairs
|
D001_02_11.json
|
D001_02_generic_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
In the video, a white car drives away from the left side of the screen towards the right. It passes in front of the black gate, which is the central feature of the scene. The car's trajectory is a straight path, moving horizontally across the frame. The car moves steadily, and its motion is continuous, indicating that it is driving at a consistent speed. The car's movement is the main dynamic element in the otherwise relatively static scene.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "In the video, a white car drives away from the left side of the screen towards the right. It passes in front of the black gate, which is the central feature of the scene. The car's trajectory is a straight path, moving horizontally across the frame. The car moves steadily, and its motion is continuous, indicating that it is driving at a consistent speed. The car's movement is the main dynamic element in the otherwise relatively static scene."
}
] |
Can you provide a detailed description of the motion and trajectory of the white car as it drives away?
|
generic_qa_pairs
|
D001_02_11.json
|
D001_02_generic_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The person in white is standing near the gate, likely monitoring or controlling access to the area. As the white car drives away from the left side of the screen towards the right, passing in front of the gate, the person in white may be observing the car, possibly ensuring that it has the necessary clearance to leave. Additionally, a pedestrian wearing a red skirt and a black top walks past the gate from right to left. The presence of the person in white, the moving car, and the pedestrian walking past the gate creates a dynamic interaction within the scene. The person in white serves as a point of control and observation, while the car and pedestrian add movement and activity, making the scene more dynamic and engaging.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The person in white is standing near the gate, likely monitoring or controlling access to the area. As the white car drives away from the left side of the screen towards the right, passing in front of the gate, the person in white may be observing the car, possibly ensuring that it has the necessary clearance to leave. Additionally, a pedestrian wearing a red skirt and a black top walks past the gate from right to left. The presence of the person in white, the moving car, and the pedestrian walking past the gate creates a dynamic interaction within the scene. The person in white serves as a point of control and observation, while the car and pedestrian add movement and activity, making the scene more dynamic and engaging."
}
] |
What interactions or activities can be observed between the person in white, the white car, and the pedestrian in the video, and how do these interactions contribute to the overall scene?
|
generic_qa_pairs
|
D001_02_11.json
|
D001_02_generic_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The white car starts driving away from the left side of the screen towards the right, passing in front of the black gate, after the initial setup of the scene. Before this event, the video begins with a view of a gated area, likely an entrance to a parking lot or a similar facility. The scene includes a black gate with decorative elements, flanked by two pillars adorned with spherical lights at the top. A red and black motorbike is parked in front of the gate on a concrete surface. To the right of the gate, a white van, a white SUV, and a green bus can be seen. Additionally, a person dressed in white stands near the gate, possibly monitoring or controlling access.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The white car starts driving away from the left side of the screen towards the right, passing in front of the black gate, after the initial setup of the scene. Before this event, the video begins with a view of a gated area, likely an entrance to a parking lot or a similar facility. The scene includes a black gate with decorative elements, flanked by two pillars adorned with spherical lights at the top. A red and black motorbike is parked in front of the gate on a concrete surface. To the right of the gate, a white van, a white SUV, and a green bus can be seen. Additionally, a person dressed in white stands near the gate, possibly monitoring or controlling access."
}
] |
When does the white car start driving away, and what is the scene like before this event?
|
temporal_qa_pairs
|
D001_02_11.json
|
D001_02_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
In the middle of the video, the key event is the white car driving away from the left side of the screen towards the right, passing in front of the black gate. This event transitions from the initial static scene, which sets up the environment and the presence of the person in white near the gate. After the car drives away, a pedestrian wearing a red skirt and a black top walks past the gate from right to left. The scene remains relatively static throughout, focusing on the interaction between the person in white, the moving car, and the pedestrian. The video concludes with the continued presence of the person in white near the gate, maintaining the overall calm and controlled atmosphere.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "In the middle of the video, the key event is the white car driving away from the left side of the screen towards the right, passing in front of the black gate. This event transitions from the initial static scene, which sets up the environment and the presence of the person in white near the gate. After the car drives away, a pedestrian wearing a red skirt and a black top walks past the gate from right to left. The scene remains relatively static throughout, focusing on the interaction between the person in white, the moving car, and the pedestrian. The video concludes with the continued presence of the person in white near the gate, maintaining the overall calm and controlled atmosphere."
}
] |
What happens in the middle of the video, and how do the events transition from the beginning to the end?
|
temporal_qa_pairs
|
D001_02_11.json
|
D001_02_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
Towards the end of the video, the scene remains relatively static, with the person in white still standing near the gate. The significant event that occurs towards the end is the pedestrian, wearing a red skirt and a black top, walking past the gate from right to left. This event follows the departure of the white car, which had driven away from the left side of the screen towards the right, passing in front of the black gate. The video concludes with the continued presence of the person in white near the gate, and the overall scene maintains its calm and controlled atmosphere, with no further significant changes or movements.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "Towards the end of the video, the scene remains relatively static, with the person in white still standing near the gate. The significant event that occurs towards the end is the pedestrian, wearing a red skirt and a black top, walking past the gate from right to left. This event follows the departure of the white car, which had driven away from the left side of the screen towards the right, passing in front of the black gate. The video concludes with the continued presence of the person in white near the gate, and the overall scene maintains its calm and controlled atmosphere, with no further significant changes or movements."
}
] |
How does the video conclude, and what significant events occur towards the end?
|
temporal_qa_pairs
|
D001_02_11.json
|
D001_02_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The car that drives away in the video is white. It moves from the left side of the screen towards the right, passing in front of the black gate.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The car that drives away in the video is white. It moves from the left side of the screen towards the right, passing in front of the black gate."
}
] |
What color is the car that drives away in the video?
|
spatial_qa_pairs
|
D001_02_11.json
|
D001_02_spatial_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The person standing near the gate is dressed in white. They are positioned close to the black gate and may be monitoring or controlling access to the gated area.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The person standing near the gate is dressed in white. They are positioned close to the black gate and may be monitoring or controlling access to the gated area."
}
] |
Describe the outfit of the person standing near the gate.
|
spatial_qa_pairs
|
D001_02_11.json
|
D001_02_spatial_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
To the right of the gate, there are a white van, a white SUV, and a green bus. These vehicles are visible in the background of the scene.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "To the right of the gate, there are a white van, a white SUV, and a green bus. These vehicles are visible in the background of the scene."
}
] |
What is the color and type of the vehicles parked to the right of the gate?
|
spatial_qa_pairs
|
D001_02_11.json
|
D001_02_spatial_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The white car is driving away to the right in front of the black fence gate.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The white car is driving away to the right in front of the black fence gate."
}
] |
What is the white car doing in the video?
|
reasoning_qa_pairs
|
D001_02_11.json
|
D001_02_reasoning_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The black fence gate is in front of the white car as it drives away to the right.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The black fence gate is in front of the white car as it drives away to the right."
}
] |
Where is the black fence gate located in relation to the moving white car?
|
reasoning_qa_pairs
|
D001_02_11.json
|
D001_02_reasoning_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The person dressed in white is likely standing near the gate to monitor or control access to the gated area.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The person dressed in white is likely standing near the gate to monitor or control access to the gated area."
}
] |
Why might the person dressed in white be standing near the gate?
|
reasoning_qa_pairs
|
D001_02_11.json
|
D001_02_reasoning_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The white car drives away from the left side of the screen towards the right, passing in front of the black gate, in the middle of the video.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The white car drives away from the left side of the screen towards the right, passing in front of the black gate, in the middle of the video."
}
] |
When does the white car drive away in the video?
|
short_temporal_qa_pairs
|
D001_02_11.json
|
D001_02_short_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
Before the white car drives away, the video shows a view of a gated area with a black gate, a red and black motorbike parked in front of the gate, and several vehicles to the right of the gate. A person dressed in white is standing near the gate, possibly monitoring or controlling access.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "Before the white car drives away, the video shows a view of a gated area with a black gate, a red and black motorbike parked in front of the gate, and several vehicles to the right of the gate. A person dressed in white is standing near the gate, possibly monitoring or controlling access."
}
] |
What happens before the white car drives away?
|
short_temporal_qa_pairs
|
D001_02_11.json
|
D001_02_short_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
After the white car drives away, a pedestrian wearing a red skirt and a black top walks past the gate from right to left. The scene remains relatively static, focusing on the interaction between the person in white and the moving pedestrian.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "After the white car drives away, a pedestrian wearing a red skirt and a black top walks past the gate from right to left. The scene remains relatively static, focusing on the interaction between the person in white and the moving pedestrian."
}
] |
What happens after the white car drives away?
|
short_temporal_qa_pairs
|
D001_02_11.json
|
D001_02_short_temporal_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The video begins with a view of a gated entrance leading to a parking area. A person dressed in white is walking towards the gate, while another individual in a beige outfit stands near the gate, appearing to wait or observe. In the foreground, a red and black scooter is parked on the concrete ground. In the background, a busy street is visible with various vehicles, including a white van, a green bus, and other cars. As the scene progresses, a person in a black top and red pants walks past the gate from right to left. Soon after, another individual in a beige shirt and black shorts approaches the gate from the right side and interacts with the person in the beige outfit. The video concludes with the person in the beige shirt still standing near the gate, while the person in the white outfit continues to walk away from the gate. Towards the end, the white van with a red slogan at the entrance of the courtyard drives into the courtyard.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video begins with a view of a gated entrance leading to a parking area. A person dressed in white is walking towards the gate, while another individual in a beige outfit stands near the gate, appearing to wait or observe. In the foreground, a red and black scooter is parked on the concrete ground. In the background, a busy street is visible with various vehicles, including a white van, a green bus, and other cars. As the scene progresses, a person in a black top and red pants walks past the gate from right to left. Soon after, another individual in a beige shirt and black shorts approaches the gate from the right side and interacts with the person in the beige outfit. The video concludes with the person in the beige shirt still standing near the gate, while the person in the white outfit continues to walk away from the gate. Towards the end, the white van with a red slogan at the entrance of the courtyard drives into the courtyard."
}
] |
Can you describe the entire video in detail from start to finish?
|
summary_qa_pairs
|
D001_02_12.json
|
D001_02_summary_qa_pairs
|
D001_02
|
[
"D001_02_00.jpg",
"D001_02_01.jpg",
"D001_02_02.jpg",
"D001_02_03.jpg",
"D001_02_04.jpg",
"D001_02_05.jpg",
"D001_02_06.jpg",
"D001_02_07.jpg",
"D001_02_08.jpg",
"D001_02_09.jpg",
"D001_02_10.jpg",
"D001_02_11.jpg",
"D001_02_12.jpg",
"D001_02_13.jpg",
"D001_02_14.jpg",
"D001_02_15.jpg"
] |
The video starts by showing a gated entrance to a parking area. Initially, a person in white is seen walking towards the gate, and another person in a beige outfit is standing near the gate, possibly waiting or observing. In the foreground, there is a red and black scooter parked on the concrete ground. The background shows a busy street with various vehicles, including a white van, a green bus, and other cars. As the video continues, a person wearing a black top and red pants walks past the gate from right to left. Shortly after, another person in a beige shirt and black shorts approaches the gate from the right and interacts with the person in the beige outfit. The video ends with the person in the beige shirt still standing near the gate, and the person in the white outfit walking away from the gate. Finally, the white van with a red slogan at the entrance of the courtyard drives into the courtyard.
|
https://huggingface.co/datasets/AnasKAN/Muraqeb_clean_dataset/resolve/main/videos/Train/D001_02_clean.avi
| 4 | 4 | 4 | 4 | 4 |
[
{
"from": "human",
"value": "Caption the video.\n<image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image> <image>"
},
{
"from": "gpt",
"value": "The video starts by showing a gated entrance to a parking area. Initially, a person in white is seen walking towards the gate, and another person in a beige outfit is standing near the gate, possibly waiting or observing. In the foreground, there is a red and black scooter parked on the concrete ground. The background shows a busy street with various vehicles, including a white van, a green bus, and other cars. As the video continues, a person wearing a black top and red pants walks past the gate from right to left. Shortly after, another person in a beige shirt and black shorts approaches the gate from the right and interacts with the person in the beige outfit. The video ends with the person in the beige shirt still standing near the gate, and the person in the white outfit walking away from the gate. Finally, the white van with a red slogan at the entrance of the courtyard drives into the courtyard."
}
] |
What happens throughout the entire video, including all key actions and events?
|
summary_qa_pairs
|
D001_02_12.json
|
D001_02_summary_qa_pairs
|
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