Row 68217
Content Data
This page contains data entry 68217 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
No, there isn't. I jsut gave you stronger evidence than the tweet to the contrary. chatbot arena also doesn't measure "chit chat" It measure human preference for responses from instruct models, you have little idea what the criteria was beyond human preference. Most of the samples in the public datasets are assistant like responses, which trend towards long and wordy, and are single turn, it is certainly is not "chit chat". "chit chat" would be more like multi turn rp, nothing in particular and very casual.
Phi3-medium instruct is also easier to get to follow new patterns with few shot in comparison to llama3-8b
| Field | Value |
|---|---|
| text | No, there isn't. I jsut gave you stronger evidence than the tweet to the contrary. chatbot arena also doesn't measure "chit chat" It measure human preference for responses from instruct models, you have little idea what the criteria was beyond human preference. Most of the samples in the public datasets are assistant like responses, which trend towards long and wordy, and are single turn, it is certainly is not "chit chat". "chit chat" would be more like multi turn rp, nothing in particular and… |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-23 |
| username_encoded | Z0FBQUFBQm5Lak1kZHJyejRKa1pxaWRxRE1sWUUtNVpRbkNuRVhKRmlHaXhCanRuQXRrNUpBd05rajdpbWJwaUlsTVNLY0xvbDZNblNGSnBGWEJVTnFIOUJXMTJEeERKUlE9PQ== |
| url_encoded | Z0FBQUFBQm5Lak91cm5pek1jVWVtdFlYSkVzNUdLNjhwOVJudlhKODRYbUhLSW9SYno5TzA1TjhUVGJjV2FNTno2ZVNKWUJ1RTZ6V3M2LWxUbm1xVV9ReWl1dkxxYzBlZ0lic2l3aG0yaW5oV2tIRlQ3NnBkd1M2UmJHbW11aGRReXlFY0NZTHdUSmJjdW5PZ1JfaGlDMXhOaGk0Uml4WlR0X2Y2bEFheVlTYmpwSkVDd3U3cW1QLW9PTmJ4SnY4aVZHbXZ2WERrVGl6dVdMcTA0bzdXVmFZTVF0YU53cW9HQT09 |
Raw Record
{
"text": "No, there isn't. I jsut gave you stronger evidence than the tweet to the contrary. chatbot arena also doesn't measure \"chit chat\" It measure human preference for responses from instruct models, you have little idea what the criteria was beyond human preference. Most of the samples in the public datasets are assistant like responses, which trend towards long and wordy, and are single turn, it is certainly is not \"chit chat\". \"chit chat\" would be more like multi turn rp, nothing in particular and very casual.\n\nPhi3-medium instruct is also easier to get to follow new patterns with few shot in comparison to llama3-8b",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-23",
"username_encoded": "Z0FBQUFBQm5Lak1kZHJyejRKa1pxaWRxRE1sWUUtNVpRbkNuRVhKRmlHaXhCanRuQXRrNUpBd05rajdpbWJwaUlsTVNLY0xvbDZNblNGSnBGWEJVTnFIOUJXMTJEeERKUlE9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak91cm5pek1jVWVtdFlYSkVzNUdLNjhwOVJudlhKODRYbUhLSW9SYno5TzA1TjhUVGJjV2FNTno2ZVNKWUJ1RTZ6V3M2LWxUbm1xVV9ReWl1dkxxYzBlZ0lic2l3aG0yaW5oV2tIRlQ3NnBkd1M2UmJHbW11aGRReXlFY0NZTHdUSmJjdW5PZ1JfaGlDMXhOaGk0Uml4WlR0X2Y2bEFheVlTYmpwSkVDd3U3cW1QLW9PTmJ4SnY4aVZHbXZ2WERrVGl6dVdMcTA0bzdXVmFZTVF0YU53cW9HQT09"
}
Entry Information
- Entry ID: 68217
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000