ParlAI
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About
ParlAI is a comprehensive Python framework designed for researchers to share, train, and test dialogue models across a diverse range of tasks. It supports various dialogue types, from open-domain chitchat and task-oriented dialogue to visual question answering. The platform offers access to over 100 popular datasets, all accessible via a unified API, and provides a wide array of reference models, from simple retrieval baselines to advanced Transformers. Users can leverage a large zoo of pretrained models, integrate Amazon Mechanical Turk for efficient data collection and human evaluation, and connect agents with humans via Facebook Messenger. ParlAI also includes helpers for creating custom agents, supports multitasking, and handles multimodality, incorporating both text and image data.
Platform
Features
• multimodal support (text and images)
• multitasking and custom agent creation
• facebook messenger integration for human interaction
• amazon mechanical turk integration for data/evaluation
• large zoo of pre-trained models
• wide range of reference models, including transformers
• access to over 100 popular dialogue datasets
• unified platform for dialogue model research
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