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path: data/train-*
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path: data/train-*
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---
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<div align="center">
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<h1> ⚡ FLASH </h1>
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<div>
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<strong>F</strong>ast <strong>L</strong>abelled <strong>A</strong>ction <strong>S</strong>egment <strong>H</strong>ighlights
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</div>
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</div>
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<br>
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## Overview
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FLASH is an open-source video evaluation dataset that tests a model's ability to identify the peak frames in a video given a user's prompt, for example, "The moment when the person lands on the ground". This is a much more challenging task than standard temporal action localization.
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## Analysis
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We compare our dataset to the THUMOS'14 temporal action localization evaluation dataset. Our results are as follows:
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```
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+----------------------------------------------------+
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| Statistics for Peak Duration |
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+-----------+---------|--------+----------+-------+-------+-------+--------|
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| dataset | count | mean | median | q25 | q75 | min | max |
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|-----------+---------+--------+----------+-------+-------+-------+--------|
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| FLASH | 1526 | 0.18 | 0.10 | 0.03 | 0.19 | 0.00 | 4.67 |
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| THUMOS'14 | 3007 | 4.04 | 2.90 | 1.50 | 5.50 | 0.20 | 118.10 |
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+-----------+---------+--------+----------+-------+-------+-------+--------+
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```
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## Acknowledgements
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This dataset is heavily built on the [ActivityNet Captions](https://cs.stanford.edu/people/ranjaykrishna/densevid/) dataset.
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