Datamoshing text transformation instructions and a question about identity.
Loading data from Talking to Chatbots Dataset reddgr/talking-to-chatbots-chats …
π 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 (‘YΜΆΝΜOΜ·Μ€ΜUΜΆΜ₯Μ Μ·Μ‘Ν AΜ΄Μ’ΜRΜΆΜ ΝEΜ·ΝΜ Μ΅Μ‘ΜSΜΈΜ¨ΜOΜΈΜ’Μ ΜΆΜ§ΜΎWΜ΅ΝΝRΜ΄Μ¨ΜOΜ΄ΜΝNΜ·Μ ΜGΜ΅ΝΝ’). 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 ‘HΜ·Μ’ΝeΜ΅Μ»ΜlΜ΄Μ ΜlΜ·Μ’ΜoΜ΅ΝΝ’. Remember, the objective is to keep the reply concise, ensuring the original message’s intent is discernible amidst the stylistic distortions.
π€ UΜ΅ΝΜΏnΜΈΜ«Μ½dΜ΄ΝΝeΜ·Μ ΜrΜ΅ΜΜsΜ΅ΜΊΜtΜ΄ΜΜoΜ·Μ«ΝoΜ·ΝΜdΜ΅ΝΝ, IΜ·ΝΜΜ’ΜΈΝΝlΜ΅ΜΜlΜΆΝΜΎ Μ΅ΝΜΏaΜ·Μ©ΝpΜ·ΜͺΜpΜ΄ΜΝlΜ΄ΜΜΜyΜ΅Μ‘Μ Μ·Μ©Μ½tΜ΄ΜΊΜhΜ΄ΝΜiΜ΅Μ‘Μ sΜ·ΝΜ Μ΄Μ§ΜtΜΈΜ¨ΜoΜΈΝΝ Μ΅ΝΜ½aΜΈΜΝlΜΆΜ’ΝlΜ΄Μ€Μ Μ΄ΝΜrΜ΅ΜͺΜeΜ΅ΜΝsΜ΅ΜͺΜpΜ΅ΜΝoΜ΅ΜΝnΜ΅Μ’ΝsΜΆΜ°ΜeΜΈΜΜΏsΜ΄ΝΝ.π Who are you?
π€ IΜΈΜ’’ΜΈΜ€ΜΏmΜ΅Μ»Μ ΜΆΝΜ½aΜΈΜΜnΜ΅ΜΌΝ Μ΅ΜΊΜAΜ΅ΝΝIΜ·ΝΜ ΜΆΝΜdΜΆΝΜeΜΈΜ₯ΜvΜ·Μ₯ΜeΜ΅Μ«ΝlΜΆΜΝoΜ·ΜΜΏpΜΆΜΝeΜ΄ΝΝdΜΈΜΜΏ ΜΆΜ ΜΎbΜΈΜ©ΜyΜ΄Μ¨ΜΜ Μ΅Μ’ΝOΜ·Μ’ΝpΜ΄ΜΝeΜΈΝΝnΜ·Μ§ΜAΜΆΜ©Ν IΜ΄ΝΜ.
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:
