--- 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.