Dateset for chatBot

created byDiego RomanDiego Roman
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Dataset Records

Learn how this dataset works and how to use it.

  • record.text
    Record
    {
  "id": "clfmqjyab001rml0fyx6536q9",
  "text": "... Size 1469,Female,49,85374,45,Artist,8,5 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1470,Female,78,128642,19,Marketing,5,6 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1471,Male,25,182292,78,Artist,7,5 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1472,Female,5,124702,94,Artist,10,3 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1473,Female,58,127833,2,Artist,7,7 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1474,Female,80,178866,97,Artist,8,4 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1475,Female,94,183643,51,Artist,5,5 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1476,Male,62,113306,4,Executive,5,6 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1477,Male,20,84008..."
}

  • record.text
    Record
    {
  "id": "clfmqjy4j0017l50fenep2tl3",
  "text": "...ession,Work Experience,Family Size 1461,Female,88,139806,99,Entertainment,4,4 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1462,Female,75,77269,24,Artist,8,1 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1463,Female,96,105968,65,Engineer,4,5 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1464,Female,83,125660,19,Engineer,10,4 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1465,Female,86,98444,76,Entertainment,7,4 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1466,Male,60,179503,9,Artist,4,3 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1467,Female,5,60575,14,Engineer,5,2 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1468,Female,65,75685,19,Marketing,7,3 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family..."
}

  • record.text
    Record
    {
  "id": "clfmqjxj70021jx0fapbfo9mb",
  "text": "...Spending Score (1-100),Profession,Work Experience,Family Size 1445,Female,59,81702,27,Marketing,6,4 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1446,Female,25,173043,3,Artist,8,6 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1447,Male,63,126380,90,Artist,6,1 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1448,Female,60,128205,27,Healthcare,6,5 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1449,Female,41,181355,73,Artist,10,3 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1450,Female,84,97931,70,Healthcare,9,7 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1451,Male,72,146432,25,Artist,6,1 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (1-100),Profession,Work Experience,Family Size 1452,Female,97,125731,41,Artist,6,4 ### Record ### CustomerID,Gender,Age,Annual Income ($),Spending Score (..."
}

Integration Steps

Follow these three simple steps to add Dateset for chatBot to your bot or any bespoke ChatBotKit integration.

1

Clone the Dataset

Clone the dataset to your account and add any customizations.

2

Create a Bot

Select the bot you want to connect to the dataset or create a new bot.

3

Connect the Dataset

Select the dataset from the list of available datasets and connect it to the bot.

Frequently Asked Questions

What is a dataset?

A dataset is a collection of data that is used to train a chatbot. The data typically consists of pairs of questions and answers, which the chatbot uses to learn how to respond to user messages. A dataset can be created either by manually entering data, importing data from a file, or using ChatBotKit's built-in scraping tools to automatically generate data from websites or social media platforms.

How do I change the name of the dataset?

To change the name of the dataset, you need to go to the page for modifying individual datasets. On this page, you will see a field labeled "Name" where you can enter the new name for the dataset. Once you have entered the new name, click the "Save" button to apply the changes.

How do I modify or delete a dataset records?

To modify a dataset record, you need to go to the page for modifying individual datasets and click on the record you want to modify. This will open a new page that allows you to edit the contents of the record. When you are finished making changes, click the "Save" button to apply the changes.

To delete a dataset record, you need to go to the page for modifying individual datasets and click the delete button next to the record in the list. Please note that this action cannot be undone, so make sure you really want to delete the record before confirming the action.