README.md

metadata

annotations_creators:
  - machine-generated
  - human-validated
language_creators:
  - crowdsourced
language:
  - en
license: cc-by-4.0
multilinguality:
  - monolingual
pretty_name: HR Intent Classification Dataset
size_categories:
  - n<1K
source_datasets: []
task_categories:
  - text-classification
task_ids:
  - intent-classification
paperswithcode_id: null

Dataset Card for HR Intent Dataset

Dataset Summary

A dataset for intent classification in enterprise HR workflows. Each row contains a user query, context (as a structured field with domain, topic, subject), and a label for the HR intent.

Supported Tasks and Leaderboards

• Intent Classification (text classification)
• Suitable for benchmarking BERT, RoBERTa, etc., on real-world HR requests.

Languages

English

Dataset Structure

Data Fields

• query: The user's free-form text (string)
• context: HR domain info (stringified dict/object)
• intent: The label (string, e.g., "generate-offer" or "review-contract")

Example

query	context	intent
Make an offer letter for Priya S...	{domain: HR, topic: onboarding, subject: offer}	generate-offer

Uses

• Intended for training and evaluating intent classifiers for enterprise chatbots or workflow automation.

Ethical Considerations, Limitations

• Only English, only HR domain.
• Class balance: check or describe distribution.
• Not guaranteed to be bias-free; review intent coverage.

---