CoolFace
Datasetpublic

nikolina-p/intention-request-to-talk-to

Intention Request to Talk To Dataset Description This dataset is a binary text-classification dataset for detecting whether a user is requesting to speak with a specific named person. Supported Tasks Binary text classification Intent detection Chatbot routing / access-control prototypes Languages English Data Fields text: user input text labels: 0 = not a request to speak to a specific named person 1 = polite… See the full description on the dataset page: https://huggingface.co/datasets/nikolina-p/intention-request-to-talk-to.

sourceHugging Facemitupdated 5mo agoView on Hugging Face
0likes19downloads
Dataset Card

Intention Request to Talk To

Dataset Description

This dataset is a binary text-classification dataset for detecting whether a user is requesting to speak with a specific named person.

Supported Tasks

  • —Binary text classification
  • —Intent detection
  • —Chatbot routing / access-control prototypes

Languages

  • —English

Data Fields

  • —text: user input text
  • —labels:
  • —0 = not a request to speak to a specific named person
  • —1 = polite request to speak to a specific named person

Data Instances

Example positive instance:

json
{"text": "May I speak with Richard?", "labels": 1}
{"text": "Hello, Sarah mentioned I should talk to Michael for details. Could you put me through?", "labels": 1}

Example negative instance:

json
{"text": "Who is Richard?", "labels": 0}
{"text": "Can I talk to her?", "labels": 0}
{"text": "Is anyone available to talk?", "labels": 0}
{"text": "They told me to ask to talk to Susan. Who is she?", "labels": 0}

Dataset Creation

This dataset was created for a small intent-classification project involving chatbot authentication/routing behavior.

Positive examples are short user utterances that politely request to speak with a named person.

Negative examples include:

  • —general questions about a person
  • —unrelated chat messages
  • —statements
  • —questions not asking to speak to someone
  • —utterances without a specific named target

Limitations

  • —Short-text focused
  • —English only
  • —Small scope
  • —Binary framing may not capture ambiguous requests