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README.md
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- config_name: default
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data_files:
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- split: train
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path: data/
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path: data/test-*
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---
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<h1 align='center' style="text-align:center; font-weight:bold; font-size:2.0em;letter-spacing:2.0px;">
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<p align='center' style="text-align:center;font-size:1.25em;">
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</p>
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<h1 align='center' style="text-align:center; font-weight:bold; font-size:2.0em;letter-spacing:2.0px;">
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[[TITLE]]</h1>
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<p align='center' style="text-align:center;font-size:1.25em;">
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[[AUTHOR_7]],
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[[AUTHOR_8]],
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[[AUTHOR_9]],
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[[AUTHOR_10]]<br/>
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[[INSTITUTION]]<br/>
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<em>[[VENUE_AND_YEAR]]</em><br/>
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<a href="[[WEBSITE_LINK]]" title="Website" target="_blank" rel="nofollow" style="text-decoration: none;">🌎Website</a> |
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<a href="[[CODE_LINK]]" title="Dataset" target="_blank" rel="nofollow" style="text-decoration: none;">🧑💻Code</a> |
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<a href="[[PAPER_LINK]]" title="aXiv" target="_blank" rel="nofollow" style="text-decoration: none;">📄arXiv</a> |
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<a href="[[LEADERBOARD_LINK]]" title="Leaderboard" target="_blank" rel="nofollow" style="text-decoration: none;">🏆 Leaderboard</a>
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</p>
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## 📣 News
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- **[[DATE]]: [[NEWS_ITEM]]**
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## Abstract
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<img src="[[STATISTICS_IMAGE_LINK]]" alt="image description" width="850" height="200">
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## Downloading Data and Benchmarking Guide
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To download the data:
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1. **Download Instructions:**
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Follow the instructions provided [here]( [[DOWNLOAD_INSTRUCTIONS_LINK]] ).
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We provide unique identifiers (UIDs) for the data sets in ```[[DATA_ORGANIZATION_PATH]]```.
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2. **Demo Data:**
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For a quick start, we include one demo example: ```[[DEMO_DATA_PATH]]```.
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3. **Benchmarking Guide:**
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We provide a step-by-step guide for benchmarking [here]( [[BENCHMARKING_GUIDE_LINK]] ).
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**👉Note:** For evaluations, we recommend starting with our development set ([[DEV_SET_DETAILS]]).
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## Dataset Organization
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- config_name: default
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data_files:
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- split: train
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path: data/trai n-*
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- split: test
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path: data/test-*
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---
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<h1 align='center' style="text-align:center; font-weight:bold; font-size:2.0em;letter-spacing:2.0px;">
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LV-Haystack: Temporal Search in Long-Form Video Understanding</h1>
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<p align='center' style="text-align:center;font-size:1.25em;">
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<a href="https://jhuiye.com/" target="_blank">Jinhui Ye<sup>1</sup></a>,
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<a href="https://zihanwang314.github.io/" target="_blank">Zihan Wang<sup>2</sup></a>,
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<a href="https://haosensun.github.io/" target="_blank">Haosen Sun<sup>2</sup></a>,
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<a href="https://keshik6.github.io/" target="_blank">Keshigeyan Chandrasegaran<sup>1</sup></a>,
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<a href="https://zanedurante.github.io/" target="_blank">Zane Durante<sup>1</sup></a>, <br/>
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<a href="https://ceyzaguirre4.github.io/" target="_blank">Cristobal Eyzaguirre<sup>1</sup></a>,
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<a href="https://talkingtorobots.com/yonatanbisk.html" target="_blank">Yonatan Bisk<sup>3</sup></a>,
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<a href="https://www.niebles.net/" target="_blank">Juan Carlos Niebles<sup>1</sup></a>,
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<a href="https://profiles.stanford.edu/ehsan-adeli" target="_blank">Ehsan Adeli<sup>1</sup></a>,
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<a href="https://profiles.stanford.edu/fei-fei-li/" target="_blank">Li Fei-Fei<sup>1</sup></a>,
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<a href="https://jiajunwu.com/" target="_blank">Jiajun Wu<sup>1</sup></a>,
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<a href="https://limanling.github.io/" target="_blank">Manling Li<sup>2</sup></a><br/>
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Stanford University<sup>1</sup>, Northwestern University<sup>2</sup>, Carnegie Mellon University<sup>3</sup><br/>
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<em>Conference on AI Research, 2025</em><br/>
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<a href="https://examplewebsite.com" title="Website" target="_blank" rel="nofollow" style="text-decoration: none;">🌎Website</a> |
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<a href="https://examplecode.com" title="Dataset" target="_blank" rel="nofollow" style="text-decoration: none;">🧑💻Code</a> |
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<a href="https://arxiv.org/examplepaper" title="aXiv" target="_blank" rel="nofollow" style="text-decoration: none;">📄arXiv</a> |
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<a href="https://exampleleaderboard.com" title="Leaderboard" target="_blank" rel="nofollow" style="text-decoration: none;">🏆 Leaderboard (Coming Soon)</a><br>
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</p>
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<img src="assets/img/logo.png" alt="Logo" width="400" height="auto" style="display:block; margin:auto;" />
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<p align='center' style="text-align:center;font-size:1.25em;">
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<a align='center' style="text-decoration: none; color: gray">
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Dataset is part of the <a href="">T* project</a></p>
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<p align=center>
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NOTE: Does Manling need Stanford Affiliation? <br>
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NOTE: Fill in website url etc
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</p>
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## News
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- **1/1/2025: Thrilled to announce T\* and LV-Haystack!**
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## Dataset Sample
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```python
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{
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'vclip_id': '6338b73e-393f-4d37-b278-68703b45908c',
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'question_id': 10,
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'question': 'What nail did I pull out?',
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'answer': 'E',
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'frame_indexes': [5036, 5232],
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'choices': {
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'A': 'The nail from the front wheel fender',
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'B': 'The nail from the motorcycle battery compartment',
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'C': 'The nail from the left side of the motorcycle seat',
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'D': 'The nail from the rearview mirror mount',
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'E': 'The nail on the right side of the motorcycle exhaust pipe'
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},
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'video_metadata': {
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'CLIP-reference-interval': [180.0, 240.0], # Time interval of the video clip
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'frame_count': 14155, # Total number of frames in the video
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'frame_rate': 30.0, # Frame rate of the video
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'duration': 471.8333435058594, # Duration of the video in seconds
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'resolution': '454x256', # Original resolution of the video
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'frame_dimensions': None, # Frame dimensions (if available)
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'codec': 'N/A', # Codec used for the video (not available here)
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'bitrate': 0, # Bitrate of the video
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'frame_dimensions_resized': [340, 256], # Resized frame dimensions
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'resolution_resized': '340x256', # Resized resolution
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'video_id': 'b6ae365a-dd70-42c4-90d6-e0351778d991' # Unique video identifier
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}
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}
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```
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## Usage
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```python
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from datasets import load_dataset
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dataset = load_dataset("LVHaystack/LongVideoHaystack")
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print(dataset)
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```
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```bash
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>>> DatasetDict({
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train: Dataset({
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features: ['vclip_id', 'question_id', 'question', 'answer', 'frame_indexes', 'choices', 'video_metadata'],
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num_rows: 11218
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})
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test: Dataset({
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features: ['vclip_id', 'question_id', 'question', 'answer', 'frame_indexes', 'choices', 'video_metadata'],
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num_rows: 3874
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})
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})
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```
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## Abstract
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<img src="[[STATISTICS_IMAGE_LINK]]" alt="image description" width="850" height="200">
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## Dataset Organization
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assets/img/logo.png
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