Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
intent-classification
Languages:
English
Size:
< 1K
License:
Create README.md
Browse files
README.md
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---
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annotations_creators: [machine-generated, human-validated]
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language_creators: [crowdsourced]
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language: [en]
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license: cc-by-4.0
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multilinguality: [monolingual]
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pretty_name: HR Intent Classification Dataset
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size_categories: [n<1K]
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source_datasets: []
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task_categories: [text-classification]
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task_ids: [intent-classification]
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paperswithcode_id: null
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---
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# Dataset Card for HR Intent Dataset
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## Dataset Summary
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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.
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## Supported Tasks and Leaderboards
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- Intent Classification (text classification)
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- Suitable for benchmarking BERT, RoBERTa, etc., on real-world HR requests.
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## Languages
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English
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## Dataset Structure
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### Data Fields
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- `query`: The user's free-form text (string)
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- `context`: HR domain info (stringified dict/object)
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- `intent`: The label (string, e.g., "generate-offer" or "review-contract")
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### Example
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| query | context | intent |
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|-------------------------------------|--------------------------------------------------|-------------------------|
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| Make an offer letter for Priya S... | {domain: HR, topic: onboarding, subject: offer} | generate-offer |
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## Uses
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- Intended for training and evaluating intent classifiers for enterprise chatbots or workflow automation.
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## Ethical Considerations, Limitations
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- Only English, only HR domain.
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- Class balance: check or describe distribution.
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- Not guaranteed to be bias-free; review intent coverage.
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---
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