Datasets:

HuggingFaceM4
/

something_something_v2

	---
	annotations_creators:
	- crowdsourced
	language_creators:
	- crowdsourced
	languages:
	- en
	licenses:
	- other-charades
	multilinguality:
	- monolingual
	paperswithcode_id: something-something
	pretty_name: Something Something v2
	size_categories:
	- 100K<n<1M
	source_datasets:
	- original
	task_categories:
	- other
	task_ids:
	- other
	---

	# Dataset Card for Something Something v2

	## Table of Contents
	- [Table of Contents](#table-of-contents)
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage: https://prior.allenai.org/projects/charades
	- Repository: https://github.com/gsig/charades-algorithms
	- Paper: https://arxiv.org/abs/1604.01753
	- Leaderboard: https://paperswithcode.com/sota/action-classification-on-charades
	- Point of Contact: mailto: vision.amt@allenai.org

	### Dataset Summary

	The Something-Something dataset (version 2) is a collection of 220,847 labeled video clips of humans performing pre-defined, basic actions with everyday objects. It is designed to train machine learning models in fine-grained understanding of human hand gestures like putting something into something, turning something upside down and covering something with something.

	### Supported Tasks and Leaderboards

	- `action-classification`: The goal of this task is to classify actions happening in a video. This is a multilabel classification. The leaderboard is available [here](https://paperswithcode.com/sota/action-classification-on-charades)


	### Languages

	The annotations in the dataset are in English.

	## Dataset Structure

	### Data Instances

	```
	{
	"video_id": "46GP8",
	"video": "/home/amanpreet_huggingface_co/.cache/huggingface/datasets/downloads/extracted/3f022da5305aaa189f09476dbf7d5e02f6fe12766b927c076707360d00deb44d/46GP8.mp4",
	"subject": "HR43",
	"scene": "Kitchen",
	"quality": 6,
	"relevance": 7,
	"verified": "Yes",
	"script": "A person cooking on a stove while watching something out a window.",
	"objects": ["food", "stove", "window"],
	"descriptions": [
	"A person cooks food on a stove before looking out of a window."
	],
	"labels": [92, 147],
	"action_timings": [
	[11.899999618530273, 21.200000762939453],
	[0.0, 12.600000381469727]
	],
	"length": 24.829999923706055
	}
	```

	### Data Fields

	- `video_id`: `str` Unique identifier for each video.
	- `video`: `str` Path to the video file
	- `subject`: `str` Unique identifier for each subject in the dataset
	- `scene`: `str` One of 15 indoor scenes in the dataset, such as Kitchen
	- `quality`: `int` The quality of the video judged by an annotator (7-point scale, 7=high quality), -100 if missing
	- `relevance`: `int` The relevance of the video to the script judged by an annotated (7-point scale, 7=very relevant), -100 if missing
	- `verified`: `str` 'Yes' if an annotator successfully verified that the video matches the script, else 'No'
	- `script`: `str` The human-generated script used to generate the video
	- `descriptions`: `List[str]` List of descriptions by annotators watching the video
	- `labels`: `List[int]` Multi-label actions found in the video. Indices from 0 to 156.
	- `action_timings`: `List[Tuple[int, int]]` Timing where each of the above actions happened.
	- `length`: `float` The length of the video in seconds

	<details>
	<summary>
	Click here to see the full list of ImageNet class labels mapping:
	</summary>

	</details>

	### Data Splits


	\| \|train \|validation\| test \|
	\|-------------\|------:\|---------:\|------:\|
	\|# of examples\|1281167\|50000 \|100000 \|


	## Dataset Creation

	### Curation Rationale



	### Source Data

	#### Initial Data Collection and Normalization


	#### Who are the source language producers?


	### Annotations

	#### Annotation process


	#### Who are the annotators?


	### Personal and Sensitive Information


	## Considerations for Using the Data

	### Social Impact of Dataset

	[More Information Needed]

	### Discussion of Biases

	[More Information Needed]

	### Other Known Limitations

	[More Information Needed]

	## Additional Information

	### Dataset Curators


	### Licensing Information

	### Citation Information

	```bibtex
	@inproceedings{goyal2017something,
	title={The" something something" video database for learning and evaluating visual common sense},
	author={Goyal, Raghav and Ebrahimi Kahou, Samira and Michalski, Vincent and Materzynska, Joanna and Westphal, Susanne and Kim, Heuna and Haenel, Valentin and Fruend, Ingo and Yianilos, Peter and Mueller-Freitag, Moritz and others},
	booktitle={Proceedings of the IEEE international conference on computer vision},
	pages={5842--5850},
	year={2017}
	}
	```

	### Contributions

	Thanks to [@apsdehal](https://github.com/apsdehal) for adding this dataset.