Main Purpose
ParlAI is a python framework for sharing, training, and testing dialogue models. It provides a platform for researchers to work on various dialogue tasks, from open-domain chitchat to task-oriented dialogue and visual question answering.
Key Features
- 100+ popular datasets available in one place, with the same API
- Reference models ranging from retrieval baselines to Transformers
- Pretrained models ready to use off-the-shelf
- Integration with Amazon Mechanical Turk for data collection and human evaluation
- Integration with Facebook Messenger to connect agents with humans in a chat interface
- Helpers to create custom agents and train on multiple tasks with multitasking
- Support for multimodality, including tasks that use text and images
Use Case
- Researchers and developers working on dialogue models and conversational AI can use ParlAI to access a wide range of datasets, reference models, and pretrained models. It provides a platform for training and testing dialogue models on various tasks, enabling researchers to experiment and develop new dialogue systems.
