README.md

---
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: float64
    - name: bitrate
      dtype: int64
    - name: codec
      dtype: string
    - name: frame_dimensions
      sequence: int64
    - name: frame_dimensions_resized
      sequence: int64
    - name: frame_rate
      dtype: float64
    - name: resolution
      dtype: string
    - name: resolution_resized
      dtype: string
    - name: vclip_duration
      dtype: float64
    - name: vclip_frame_count
      dtype: int64
    - name: video_duration
      dtype: float64
    - name: video_frame_count
      dtype: int64
    - name: video_id
      dtype: string
  splits:
  - name: train
    num_bytes: 4782472
    num_examples: 11218
  - name: test
    num_bytes: 1776278
    num_examples: 3874
  download_size: 1999818
  dataset_size: 6558750
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---

<h1 align='center' style="text-align:center; font-weight:bold; font-size:2.0em;letter-spacing:2.0px;">
    LV-Haystack: Temporal Search in Long-Form Video Understanding</h1>    


<p align='center' style="text-align:center;font-size:1.25em;">
<a href="https://jhuiye.com/" target="_blank">Jinhui Ye<sup>1</sup></a>,&nbsp;
<a href="https://zihanwang314.github.io/" target="_blank">Zihan Wang<sup>2</sup></a>,&nbsp;
<a href="https://haosensun.github.io/" target="_blank">Haosen Sun<sup>2</sup></a>,&nbsp;
<a href="https://keshik6.github.io/" target="_blank">Keshigeyan Chandrasegaran<sup>1</sup></a>,&nbsp;
<a href="https://zanedurante.github.io/" target="_blank">Zane Durante<sup>1</sup></a>,&nbsp;<br/>
<a href="https://ceyzaguirre4.github.io/" target="_blank">Cristobal Eyzaguirre<sup>1</sup></a>,&nbsp;
<a href="https://talkingtorobots.com/yonatanbisk.html" target="_blank">Yonatan Bisk<sup>3</sup></a>,&nbsp;
<a href="https://www.niebles.net/" target="_blank">Juan Carlos Niebles<sup>1</sup></a>,&nbsp;
<a href="https://profiles.stanford.edu/ehsan-adeli" target="_blank">Ehsan Adeli<sup>1</sup></a>,&nbsp;
<a href="https://profiles.stanford.edu/fei-fei-li/" target="_blank">Li Fei-Fei<sup>1</sup></a>,&nbsp;
<a href="https://jiajunwu.com/" target="_blank">Jiajun Wu<sup>1</sup></a>,&nbsp;
<a href="https://limanling.github.io/" target="_blank">Manling Li<sup>2</sup></a><br/>
&nbsp;Stanford University<sup>1</sup>, Northwestern University<sup>2</sup>, Carnegie Mellon University<sup>3</sup><br/>
<em>Conference on AI Research, 2025</em><br/>
<a href="https://examplewebsite.com" title="Website" target="_blank" rel="nofollow" style="text-decoration: none;">🌎Website</a> |
<a href="https://examplecode.com" title="Dataset" target="_blank" rel="nofollow" style="text-decoration: none;">🧑‍💻Code</a> |
<a href="https://arxiv.org/examplepaper" title="aXiv" target="_blank" rel="nofollow" style="text-decoration: none;">📄arXiv</a> |
<a href="https://exampleleaderboard.com" title="Leaderboard" target="_blank" rel="nofollow" style="text-decoration: none;">🏆 Leaderboard (Coming Soon)</a><br>
</p>

<img src="assets/img/logo.png" alt="Logo" width="400" height="auto" style="display:block; margin:auto;" />
<p align='center' style="text-align:center;font-size:1.25em;">
  <a align='center' style="text-decoration: none; color: gray">
  Dataset is part of the <a href="">T* project</a></p>

<p align=center>
NOTE: Does Manling need Stanford Affiliation? <br>
NOTE: Fill in website url etc
</p>



## 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

<img src="[[STATISTICS_IMAGE_LINK]]" alt="image description" width="850" height="200">



## 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]]
```