---
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}
}
```