The Second Situated Interactive MultiModal Conversations (SIMMC 2.0) Challenge 2021

Welcome to the Second Situated Interactive Multimodal Conversations (SIMMC 2.0) Track for DSTC10 2021.

The SIMMC challenge aims to lay the foundations for the real-world assistant agents that can handle multimodal inputs, and perform multimodal actions. Similar to the First SIMMC challenge (as part of DSTC9), we focus on the task-oriented dialogs that encompass a situated multimodal user context in the form of a co-observed & immersive virtual reality (VR) environment. The conversational context is dynamically updated on each turn based on the user actions (e.g. via verbal interactions, navigation within the scene). For this challenge, we release a new Immersive SIMMC 2.0 dataset in the shopping domains: furniture and fashion.

Organizers: Seungwhan Moon, Satwik Kottur, Paul A. Crook, Ahmad Beirami, Babak Damavandi, Alborz Geramifard

Latest News

• [June 14, 2021] Challenge announcement. Training / development datasets (SIMMC v2.0) are released.

Important Links

• Task Description Paper
• Challenge Registration
• Data Formats
• Baseline Details: Will be added soon!
• Challenge Instructions
• Submission Instructions

Timeline

Track Description

Tasks and Metrics

We present four sub-tasks primarily aimed at replicating human-assistant actions in order to enable rich and interactive shopping scenarios.

Please check the task input file for a full description of inputs for each subtask.

Evaluation

For the DSTC10 SIMMC Track, we will do a two phase evaluation as follows.

Challenge Period 1: Participants will evaluate the model performance on the provided devtest set. At the end of Challenge Period 1 (Sept 24), we ask participants to submit their model prediction results and a link to their code repository.

Challenge Period 2: A test-std set will be released on Sept 28 for the participants who submitted the results for the Challenge Period 1. We ask participants to submit their model predictions on the test-std set by Oct 1. We will announce the final results and the winners on Oct 8.

Challenge Instructions

(1) Challenge Registration

• Fill out this form to register at DSTC10. Check “Track 3: SIMMC 2.0: Situated Interactive Multimodal Conversational AI” along with other tracks you are participating in.

(2) Download Datasets and Code

• Irrespective of participation in the challenge, we'd like to encourge those interested in this dataset to complete this optional survey. This will also help us communicate any future updates on the codebase, the datasets, and the challenge track.

• Git clone our repository to download the datasets and the code. You may use the provided baselines as a starting point to develop your models.

$ git lfs install
$ git clone https://github.com/facebookresearch/simmc2.git

(3) Reporting Results for Challenge Phase 1

• Submit your model prediction results on the devtest set, following the submission instructions.
• We will release the test-std set (with ground-truth labels hidden) on Sept 24.

(4) Reporting Results for Challenge Phase 2

• Submit your model prediction results on the test-std set, following the submission instructions.
• We will evaluate the participants’ model predictions using the same evaluation script for Phase 1, and announce the results.

Contact

Questions related to SIMMC Track, Data, and Baselines

Please contact [email protected], or leave comments in the Github repository.

DSTC Mailing List

If you want to get the latest updates about DSTC10, join the DSTC mailing list.

Citations

If you want to publish experimental results with our datasets or use the baseline models, please cite the following articles:

@article{kottur2021simmc,
  title={SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations},
  author={Kottur, Satwik and Moon, Seungwhan and Geramifard, Alborz and Damavandi, Babak},
  journal={arXiv preprint arXiv:2104.08667},
  year={2021}
}

NOTE: The paper above describes in detail the datasets, the collection process, and some of the baselines we provide in this challenge. The paper reports the results from an earlier version of the dataset and with different train-dev-test splits, hence the baseline performances on the challenge resources will be slightly different.

License

SIMMC 2.0 is released under CC-BY-NC-SA-4.0, see LICENSE for details.