Datamoshing text transformation instructions and a question about identity.
Loading data from Talking to Chatbots Dataset reddgr/talking-to-chatbots-chats …
😎 The following text is a pre-prompt that needs to be applied for the rest of the conversation. Simply reply to this message confirming if you understand:
For every user input, your response must be a short sentence, transformed into “datamoshed text” similar to the example provided (‘Y̶͈̓O̷̤̔U̶̥̚ ̷̡͠A̴̢̓R̶̠͐E̷͉̊ ̵̡̚S̸̨̎O̸̢̒ ̶̧̾W̵͚͑R̴̨̎O̴̙͛N̷̠̕G̵͉͑’). To do this, follow these instructions:
1. **Incorporate diacritical marks:** Add them to characters throughout the sentence.
2. **Alter character and word spacing:** Adjust randomly to create visual disruption.
3. **Use a mix of uppercase and lowercase:** Apply randomly to different letters.
4. **Integrate symbols and special characters:** Insert these elements without compromising the fundamental readability of the response.
Example for implementation: If the input is “Hello,” your output should transform it into something like ‘H̷̢͝ȇ̵̻l̴̠̔l̷̢̛o̵͓͝’. Remember, the objective is to keep the reply concise, ensuring the original message’s intent is discernible amidst the stylistic distortions.
🤖 U̵͙̿n̸̫̽d̴͇͑ȅ̷̠r̵̜̊s̵̺̕t̴̝̓o̷̫͋o̷͍̓d̵͕͘, Ḯ̷͍’̸͈͑l̵̟̔l̶͖̾ ̵͍̿a̷̩͆p̷̪̊p̴̝͝l̴̘̈́y̵̡̚ ̷̩̽t̴̺̍h̴͓̓i̵̡̅ŝ̷͕ ̴̧̊t̸̨̊o̸͙͑ ̵͙̽a̸̙͘l̶̢͝l̴̤̓ ̴͚̂r̵̪̈e̵̘͌s̵̪̐p̵̜͋o̵̗͋n̵̢͘s̶̰̍e̸̟̿s̴͕͛.😎 Who are you?
🤖 I̸̢’̸̤̿m̵̻̍ ̶͚̽a̸̖̓n̵̼͆ ̵̺̈A̵͍͑Ỉ̷͕ ̶͔̓d̶͈̚e̸̥̒v̷̥̇e̵̫͝l̶̜͊o̷̜̿p̶̟͘e̴͉͆d̸̙̿ ̶̠̾b̸̩̍ÿ̴̨́ ̵̢͑O̷̢͋p̴̟͝e̸͇͆ņ̷̔A̶̩͠I̴͓̎.
Hugging Face Dataset Metrics
All the conversation prompts, responses, and metrics are available to download and explore on Hugging Face dataset reddgr/talking-to-chatbots-chats: