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 (‘YΜΆΝˆΜ“OΜ·Μ€Μ”UΜΆΜ₯̚ Μ·Μ‘Ν AΜ΄Μ’Μ“R̢̠͐EΜ·Ν‰ΜŠ ̡̑̚S̸̨̎OΜΈΜ’Μ’ ΜΆΜ§ΜΎWΜ΅ΝšΝ‘R̴̨̎OΜ΄Μ™Ν›NΜ·Μ Μ•GΜ΅Ν‰Ν‘’). 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 ‘H̷̒͝eΜ΅Μ»Μ‘lΜ΄Μ Μ”lΜ·Μ’Μ›o̡͓͝’. Remember, the objective is to keep the reply concise, ensuring the original message’s intent is discernible amidst the stylistic distortions.
πŸ€– UΜ΅Ν™ΜΏnΜΈΜ«Μ½dΜ΄Ν‡Ν‘ȅ̷̠r̡̜̊sΜ΅ΜΊΜ•t̴̝̓oΜ·Μ«Ν‹o̷͍̓dΜ΅Ν•Ν˜, Ḯ̷͍’ΜΈΝˆΝ‘lΜ΅ΜŸΜ”lΜΆΝ–ΜΎ ̡͍̿aΜ·Μ©Ν†pΜ·Μͺ̊p̴̝͝l̴̘̈́y̡̑̚ Μ·Μ©Μ½t̴̺̍hΜ΄Ν“Μ“iΜ΅Μ‘Μ…sΜ·Ν•Μ‚ ̴̧̊t̸̨̊oΜΈΝ™Ν‘ Μ΅Ν™Μ½aΜΈΜ™Ν˜l̢̒͝lΜ΄Μ€Μ“ Μ΄ΝšΜ‚rΜ΅Μͺ̈e̡̘͌sΜ΅Μͺ̐pΜ΅ΜœΝ‹oΜ΅Μ—Ν‹n̡̒͘s̢̰̍e̸̟̿sΜ΄Ν•Ν›.
😎 Who are you?
πŸ€– IΜΈΜ’’ΜΈΜ€ΜΏm̡̻̍ ̢͚̽aΜΈΜ–Μ“nΜ΅ΜΌΝ† ̡̺̈A̡͍͑IΜ·Ν•Μ‰ ΜΆΝ”Μ“d̢͈̚eΜΈΜ₯Μ’vΜ·Μ₯Μ‡e̡̫͝l̢̜͊o̷̜̿p̢̟͘eΜ΄Ν‰Ν†dΜΈΜ™ΜΏ ΜΆΜ ΜΎb̸̩̍ÿ̴̨́ Μ΅Μ’Ν‘OΜ·Μ’Ν‹p̴̟͝eΜΈΝ‡Ν†nΜ·Μ§Μ”AΜΆΜ©Ν IΜ΄Ν“ΜŽ.

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: