Prompt Format

In addition to uploading in chat format, users can upload conversations in a simplified Prompt-Response format, where each interaction is recorded in a single row. Catalyst will automatically structure the data into a full chat history, allowing users to access all functionalities for chat analysis and processing.

The Prompt-Response dataset should follow the schema below, with Function, Timestamp, and Model Name columns as optional fields:

Chat ID	Chat Seq	Prompt	Response	Function	Timestamp	Model Name
1	1	Hello	Hi there!	N/A	15-10-2024 10:00	Model_XYZ
1	2	What is AI?	AI stands for Artificial Intelligence.	N/A	15-10-2024 10:01	Model_XYZ
2	1	Book a ticket	Your ticket has been booked.			Model_ABC

Columns:

1. Chat ID (Required): A unique identifier for each conversation, grouping all rows related to a single chat session.

2. Chat Seq (Required): A sequence number for each prompt-response pair within a chat session, maintaining the correct conversation flow.

3. Prompt : The message or query initiated by the user or customer.

4. Response : The assistant’s reply to the user’s prompt.

5. Function (Optional): The name of any function called in response to the prompt (e.g., check_balance, book_ticket). If no function is used, this field can be left empty or marked as "N/A".

6. Timestamp (Optional): The exact date and time of each interaction in the format DD-MM-YYYY HH:MM. This field can be left blank if precise timing is unnecessary for your analysis.

7. Model Name (Optional Metadata): The name or identifier of the AI model used to generate the response. This metadata allows tracking of different model responses and is optional.

84KB

Prompt Format CSV.csv

Sample CSV