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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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+
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+ # Dataset Card for HR Intent Dataset
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+
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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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+
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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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+
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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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+
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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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+ ---