ChatBot Dataset for Transformers

The ChatBot Dataset for Transformers is a beginner-friendly and versatile dataset designed to help developers and researchers create conversational AI models with ease. It features sequential dialogues, formatted for seamless integration with popular transformer models like GPT, BERT, and T5, making it ideal for training context-aware and natural language responses.

Dataset Overview:

• dialogs.txt: Natural conversational exchanges showcasing human-like dialogue flows.
  Example:

  • Input: hi, how are you doing?
  • Response: i’m fine. how about yourself?

• input_texts.txt: Preprocessed inputs with special tokens [sos] (start of sequence) and [eos] (end of sequence), ensuring compatibility with transformer models.
  Example:

  • [sos] hi, how are you doing? [eos]

• label_texts.txt: Outputs (labels) corresponding to the inputs, formatted similarly with [sos] and [eos] tokens.
  Example:

  • [sos] i'm fine. how about yourself? [eos]

Key Features:

• Transformers-Optimized: Preformatted for direct use with transformer architectures like GPT, BERT, and T5.
• Sequential Dialogues: Human-like exchanges ensure smoother and more context-aware model training.
• Beginner-Friendly: Perfect for exploring natural language processing (NLP) workflows, including tokenization and encoding.
• Customizable: Expand or merge it with larger datasets for advanced projects.