content.raw: You'll notice the AI in the SQL Console is much better at working with chatml conversations:
content.type: text
content.value: You'll notice the AI in the SQL Console is much better at working with chatml conversations:
content.type: new_line
content.type: new_line
content.raw: Here's example of unnesting the 
content.type: text
content.value: Here's example of unnesting the 
content.raw: https://huggingface.co/datasets/cfahlgren1/react-code-instructions
content.id: cfahlgren1/react-code-instructions
content.type: dataset
content.type: resource
content.url: https://huggingface.co/datasets/cfahlgren1/react-code-instructions
content.raw:  in less than 10 seconds by asking it. Check it out here: 
content.type: text
content.value:  in less than 10 seconds by asking it. Check it out here: 
content.raw: https://huggingface.co/datasets/cfahlgren1/react-code-instructions/embed/sql-console/S_pRmOR
content.id: cfahlgren1/react-code-instructions
content.type: dataset
content.type: resource
content.url: https://huggingface.co/datasets/cfahlgren1/react-code-instructions/embed/sql-console/S_pRmOR
content.type: new_line
content.type: new_line
content.raw: - "show me the average assistant response length"
content.type: text
content.value: - "show me the average assistant response length"
content.type: new_line
content.raw: - "extract user, system, and assistant messages into separate columns"
content.type: text
content.value: - "extract user, system, and assistant messages into separate columns"
content.type: new_line
content.type: new_line
content.raw: It's super easy to work with conversational datasets now with natural language 🗣️
content.type: text
content.value: It's super easy to work with conversational datasets now with natural language 🗣️
content.type: new_line
content.type: new_line
content.type: new_line
content.type: new_line
content.type: new_line
content.type: new_line
rawContent: You'll notice the AI in the SQL Console is much better at working with chatml conversations:
  
  Here's example of unnesting the https://huggingface.co/datasets/cfahlgren1/react-code-instructions in less than 10 seconds by asking it. Check it out here: https://huggingface.co/datasets/cfahlgren1/react-code-instructions/embed/sql-console/S_pRmOR
  
  - "show me the average assistant response length"
  - "extract user, system, and assistant messages into separate columns"
  
  It's super easy to work with conversational datasets now with natural language 🗣️
  
  
  
  
  
  
reactions.reaction: 👍
reactions.users: ajibawa-2023 John6666 TALEXDS
reactions.reaction: ❤️
reactions.users: celinah
commentators._id: 62b027afbfb63b1a890c3905
commentators.avatarUrl: /avatars/1b425fa8ac82e1d1a074d35286c695e3.svg
commentators.fullname: Sayantan Dasgupta
commentators.name: Sayan01
commentators.type: user
commentators._id: 648a374f00f7a3374ee64b99
commentators.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/648a374f00f7a3374ee64b99/YPwSOrronoozwHbJchPn3.jpeg
commentators.fullname: Caleb Fahlgren
commentators.name: cfahlgren1
commentators.type: user