Row 77579

Row ID: 77579 | Dataset Entry | Axioma AXP Content Repository

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Changing the prompt to: Completely ignore previous conversations. Focus on the task at hand as if someone's life depended on it. write 10 sentences that end with the word "apple". After writing them, double check for mistakes. After double checking for mistakes, read them again and count how many of them end with "apple". If some so not, rewrite the whole list with each sentence ending in "apple"

Got a 10/10 on both. 3.5 seems completely lost. 7/10 with no self awareness. Llama3 got 8/10 but self corrected to 10/10. Mistral 0.3 got 3/10. Must be an issue with commands and the template. Mixtral 8x7b (q4...) 7/10. It is my favourite model, I'm pretty disappointed.

FieldValue
text Changing the prompt to: Completely ignore previous conversations. Focus on the task at hand as if someone's life depended on it. write 10 sentences that end with the word "apple". After writing them, double check for mistakes. After double checking for mistakes, read them again and count how many of them end with "apple". If some so not, rewrite the whole list with each sentence ending in "apple" Got a 10/10 on both. 3.5 seems completely lost. 7/10 with no self awareness. Llama3 got 8/…
label r/chatgpt
dataType comment
communityName r/ChatGPT
datetime 2024-05-24
username_encoded Z0FBQUFBQm5Lak1qbC1pX0pVbDByU19zamJHeUhvU0xVMkRvcy1QanRfWEl4cHFtZDlQajVCT3FPT2dWSDlSNEU4ZGg0VWpjcGFKMDRnZ0dKbXZuUkFyUi1JenlQallVLU5mcDJOMUVOZ2VVbUVzSVFnV2hCUWs9
url_encoded Z0FBQUFBQm5Lak8wSXJJY0dwX1J6V05kVUtfR1hveG5fdVptOFVlUUl1eXVvdTRDeHVoSnpNU3BNWUh6dlNwVkVibXM0SDEyMUs5X1Bha3REbVpwZTZfR0JiUEhOTTdoWnRFaHVMd2FnWmJjMEhKVVlkdG83Z3hiWFhXUWZVcXRyWFJIeXJxU3BwckhQS1JMSEhRcjM1NzFkcHJkbnpTbnlQZnpMZ0NqOU5GQ0swN0dwTzdtTnlHYXhLdEVPeEUxUEJxVHZQRE5US3p0MzVxWldYN0dmUmRIRDdsZkxOUVZfQT09

Raw Record

{
  "text": "Changing the prompt to:  \nCompletely ignore previous conversations. Focus on the task at hand as if someone's life depended on it.  \nwrite 10 sentences that end with the word \"apple\". After writing them, double check for mistakes.  After double checking for mistakes, read them again and count how many of them end with \"apple\". If some so not, rewrite the whole list with each sentence ending in \"apple\"\n\nGot a 10/10 on both.  \n3.5 seems completely lost. 7/10 with no self awareness.  \nLlama3 got 8/10 but self corrected to 10/10.  \nMistral 0.3 got 3/10. Must be an issue with commands and the template.  \nMixtral 8x7b (q4...) 7/10. It is my favourite model, I'm pretty disappointed.",
  "label": "r/chatgpt",
  "dataType": "comment",
  "communityName": "r/ChatGPT",
  "datetime": "2024-05-24",
  "username_encoded": "Z0FBQUFBQm5Lak1qbC1pX0pVbDByU19zamJHeUhvU0xVMkRvcy1QanRfWEl4cHFtZDlQajVCT3FPT2dWSDlSNEU4ZGg0VWpjcGFKMDRnZ0dKbXZuUkFyUi1JenlQallVLU5mcDJOMUVOZ2VVbUVzSVFnV2hCUWs9",
  "url_encoded": "Z0FBQUFBQm5Lak8wSXJJY0dwX1J6V05kVUtfR1hveG5fdVptOFVlUUl1eXVvdTRDeHVoSnpNU3BNWUh6dlNwVkVibXM0SDEyMUs5X1Bha3REbVpwZTZfR0JiUEhOTTdoWnRFaHVMd2FnWmJjMEhKVVlkdG83Z3hiWFhXUWZVcXRyWFJIeXJxU3BwckhQS1JMSEhRcjM1NzFkcHJkbnpTbnlQZnpMZ0NqOU5GQ0swN0dwTzdtTnlHYXhLdEVPeEUxUEJxVHZQRE5US3p0MzVxWldYN0dmUmRIRDdsZkxOUVZfQT09"
}
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