Source for the two-person chat interface used to collect the VisDial dataset (arxiv.org/abs/1611.08669) on Amazon Mechanical Turk.
If you find this code useful, consider citing our work:
@inproceedings{visdial,
title={{V}isual {D}ialog},
author={Abhishek Das and Satwik Kottur and Khushi Gupta and Avi Singh
and Deshraj Yadav and Jos\'e M.F. Moura and Devi Parikh and Dhruv Batra},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
year={2017}
}
The real-time chat interface is built using Node.js and Socket.io. We use Redis to maintain a pool of images for live HITs and all data finally resides in a MySQL database.
A database table stores images from the COCO dataset each with a randomly picked caption. A batch of images from this table are then pushed to a Redis list for launching HITs. The web server corresponding to the chat interface pairs two AMT workers, assigns them roles (questioner or answerer) and shows corresponding interface, picks an image from the Redis list to collect data on and saves their conversation in the database, also marking that image as 'complete' once the HIT is done. This happens in parallel so workers aren't left waiting, and the server ensures workers have unique ids. Disconnects are handled gracefully — remaining worker is asked to continue asking questions or providing facts (captions) up to 10 messages. Once the HITs are complete, scripts in mturk_scripts/approve can be used to review, approve, reject HITs and pay workers.
Pops images from the Redis list, retrieves relevant data from the MySQL tables, renders the chat interface and pairs workers on AMT, saves submitted data to MySQL tables
- Install MySQL, Redis, Node
- Install dependencies using
npm install(from thenodejsfolder) - Copy over
example.config.jstoconfig.js, and set MySQL and Redis credentials - Create a symbolic link from
static/datasetto/path/to/mscoco/images/ - Update app path (from vhost) in
index.htmlline 276 - Running
node index.jsshould now serve the interface at 127.0.0.1:5000
Scripts to set up MySQL database, populate Redis list, and approve/reject HITs
- Copy over
example.config.jsontoconfig.json, and set MySQL credentials.from_timestampis unix timestamp before launching a batch of HITs createDatabase.pyandfillDatabase.pycreate MySQL tables, populate it with COCO images and captions and generate the Redis list for a batch of HITscreateHits.pylaunches HITs on AMT
- Copy over
example.config.jsontoconfig.json, and set MySQL credentials - Copy over
example.constants.pytoconstants.py, and set AMT credentials reviewHits.pygets completed HITs and saves them toamthitsQues.csvandamthitsAns.csvfor review- Once HITs have been reviewed in the CSV files (by changing 'notApprove' to 'reviewReject' or 'approve'), run
approveHits.pyto mark approved HITs for payment andreviewRejectedHits.py,rejectHits.pyto reject HITs, and finallypayWorkers.pyto process payments
Parts of this code (MTurk scripts) are adapted from @jcjohnson's simple-amt project.
BSD
