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dataset_info:
tags:
- video
- text
license: cc-by-4.0
language:
- en
pretty_name: Implicit-VidSRL
---
# Implicit-VidSRL Dataset
- **Paper:** https://arxiv.org/abs/2505.21068
- **Project:** https://anilbatra2185.github.io/p/ividsrl/
- **Curated by:** Anil Batra, Laura Sevilla-Lara, Marcus Rohrbach, Frank Keller
- **Language(s) (NLP):** English
- **License:** CC-BY-4.0
<p align="center">
<img src="implicit_vid_srl.png" alt="implicit video SRL dataset" style="width:50%;"/>
</p>
## Dataset Summary
Implicit-VidSRL is a benchmark for the understanding of procedural steps in instructional videos.
The dataset uses semantic role labeling (SRL) to model the semantics of narrated instructional video as simple
predicate-argument structures like {verb,what,where/with}. The dataset contains implicit and explicit arguments which can be infered from
contextual information in multimodal cooking procedures.
## Dataset Details
### Dataset Sources
- **Youcook2**: http://youcook2.eecs.umich.edu/
- **Tasty**: https://cvml.comp.nus.edu.sg/tasty/
### Dataset Fields
Each record in the dataset contains the following fields:
- **video_id** (`str`): Video Id from the source dataset.
- **dataset** (`str`): The name of the source dataset.
- **title** (`int`): The title of the recipe.
- **duration** (`str`): Duration of video in seconds.
- **timestamps** (`List[List[float]]`): The list of timestamps corresponding to each recipe step in the video. Each timestamp entry contains start and end timestamp.
- **sentences** (`List[str]`): The list of steps in the recipe. Each recipe step is natural text in English.
- **srl** (`List[Dict]`): The new annotation for each recipe step. Each list item corresponds to the recipe step with key enteries of verb/what/where containing ingredient entities. In addition it also has information about the implicit entities for each step.
## Citation
```BibTeX
@inproceedings{
batra2025implicit,
title={Predicting Implicit Arguments in Procedural Video Instructions},
author={Anil Batra, Laura Sevilla-Lara, Marcus Rohrbach, Frank Keller},
booktitle={The 63rd Annual Meeting of the Association for Computational Linguistics},
year={2025}
}
``` |