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

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Hugging Face2026-04-07 更新2026-04-12 收录
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https://hf-mirror.com/datasets/nikolina-p/intention-request-to-talk-to
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--- dataset_info: features: - name: text dtype: string - name: labels dtype: class_label: names: '0': '0' '1': '1' splits: - name: train num_bytes: 22324 num_examples: 542 - name: validation num_bytes: 2512 num_examples: 61 - name: test num_bytes: 6156 num_examples: 141 download_size: 16470 dataset_size: 30992 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* license: mit task_categories: - text-classification language: - en tags: - intent-classification pretty_name: Intention Request to Talk To size_categories: - n<1K --- # 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
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