---
dataset_info:
features:
- name: vclip_id
dtype: string
- name: question_id
dtype: int32
- name: question
dtype: string
- name: answer
dtype: string
- name: frame_indexes
sequence: int32
- name: choices
struct:
- name: A
dtype: string
- name: B
dtype: string
- name: C
dtype: string
- name: D
dtype: string
- name: E
dtype: string
- name: video_metadata
struct:
- name: CLIP-reference-interval
sequence: float32
- name: frame_count
dtype: int32
- name: frame_rate
dtype: float32
- name: duration
dtype: float32
- name: resolution
dtype: string
- name: frame_dimensions
sequence: int32
- name: codec
dtype: string
- name: bitrate
dtype: int32
- name: frame_dimensions_resized
sequence: int32
- name: resolution_resized
dtype: string
- name: video_id
dtype: string
splits:
- name: train
num_bytes: 4065923
num_examples: 11218
- name: test
num_bytes: 1559334
num_examples: 3874
download_size: 1941543
dataset_size: 5625257
configs:
- config_name: default
data_files:
- split: train
path: data/trai n-*
- split: test
path: data/test-*
---
LV-Haystack: Temporal Search in Long-Form Video Understanding
Jinhui Ye1,
Zihan Wang2,
Haosen Sun2,
Keshigeyan Chandrasegaran1,
Zane Durante1,
Cristobal Eyzaguirre1,
Yonatan Bisk3,
Juan Carlos Niebles1,
Ehsan Adeli1,
Li Fei-Fei1,
Jiajun Wu1,
Manling Li2
Stanford University1, Northwestern University2, Carnegie Mellon University3
Conference on AI Research, 2025
🌎Website |
🧑💻Code |
📄arXiv |
🏆 Leaderboard (Coming Soon)
Dataset is part of the T* project
NOTE: Does Manling need Stanford Affiliation?
NOTE: Fill in website url etc
## News
- **1/1/2025: Thrilled to announce T\* and LV-Haystack!**
## Dataset Sample
```python
{
'vclip_id': '6338b73e-393f-4d37-b278-68703b45908c',
'question_id': 10,
'question': 'What nail did I pull out?',
'answer': 'E',
'frame_indexes': [5036, 5232],
'choices': {
'A': 'The nail from the front wheel fender',
'B': 'The nail from the motorcycle battery compartment',
'C': 'The nail from the left side of the motorcycle seat',
'D': 'The nail from the rearview mirror mount',
'E': 'The nail on the right side of the motorcycle exhaust pipe'
},
'video_metadata': {
'CLIP-reference-interval': [180.0, 240.0], # Time interval of the video clip
'frame_count': 14155, # Total number of frames in the video
'frame_rate': 30.0, # Frame rate of the video
'duration': 471.8333435058594, # Duration of the video in seconds
'resolution': '454x256', # Original resolution of the video
'frame_dimensions': None, # Frame dimensions (if available)
'codec': 'N/A', # Codec used for the video (not available here)
'bitrate': 0, # Bitrate of the video
'frame_dimensions_resized': [340, 256], # Resized frame dimensions
'resolution_resized': '340x256', # Resized resolution
'video_id': 'b6ae365a-dd70-42c4-90d6-e0351778d991' # Unique video identifier
}
}
```
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("LVHaystack/LongVideoHaystack")
print(dataset)
```
```bash
>>> DatasetDict({
train: Dataset({
features: ['vclip_id', 'question_id', 'question', 'answer', 'frame_indexes', 'choices', 'video_metadata'],
num_rows: 11218
})
test: Dataset({
features: ['vclip_id', 'question_id', 'question', 'answer', 'frame_indexes', 'choices', 'video_metadata'],
num_rows: 3874
})
})
```
## Abstract
[[ABSTRACT]]
## [[TITLE]] Statistics
## Dataset Organization
The dataset is organized to facilitate easy access to all resources. Below is the structure:
```
[[DATASET_ORGANIZATION_STRUCTURE]]
```
### Description of Key Components
```[[KEY_COMPONENT_PATH]]```: This directory contains resources in [[FORMAT]] format. Each file includes metadata and other details:
- ```[[DATA_FILE_1]]```:
- [[DESCRIPTION_1]].
- ```[[DATA_FILE_2]]```:
- [[DESCRIPTION_2]].
- ```[[DATA_FILE_3]]```:
- [[DESCRIPTION_3]].
### Annotation Format
Each entry includes metadata in the following format:
```
{
"[[FIELD_1]]": {
"[[METADATA_FIELD_1]]": {
"[[DETAIL_1]]": [[DETAIL_TYPE_1]],
"[[DETAIL_2]]": [[DETAIL_TYPE_2]],
},
"[[BENCHMARK_FIELD]]": [
{
"[[QUESTION_FIELD]]": [[QUESTION_TYPE]],
"[[TASK_FIELD]]": [[TASK_TYPE]],
"[[LABEL_FIELD]]": [[LABEL_TYPE]],
"[[TIMESTAMP_FIELD]]": [[TIMESTAMP_TYPE]],
"[[MCQ_FIELD]]": "[[MCQ_OPTIONS]]",
"[[ANSWER_FIELD_1]]": [[ANSWER_TYPE_1]],
"[[ANSWER_FIELD_2]]": [[ANSWER_TYPE_2]],
"[[ANSWER_FIELD_3]]": [[ANSWER_TYPE_3]],
"[[ANSWER_FIELD_4]]": [[ANSWER_TYPE_4]],
"[[ANSWER_FIELD_5]]": [[ANSWER_TYPE_5]]
},
// Next question
]
},
// Next entry
}
```
## Limitations
[[LIMITATIONS]]
## Contact
- [[CONTACT_1]]
- [[CONTACT_2]]
- [[CONTACT_3]]
## Citation
```bibtex
[[BIBTEX]]
```