Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
intent-classification
Languages:
English
Size:
1K - 10K
License:
Upload README.md with huggingface_hub
Browse files
README.md
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num_examples: 1367
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download_size: 218182
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dataset_size: 378795.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: test
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path: data/test-*
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---
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---
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language:
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- en
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task_categories:
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- text-classification
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task_ids:
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- intent-classification
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tags:
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- branch-switching
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- healthcare
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- intent-detection
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- conversational-ai
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size_categories:
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- 1K<n<10K
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license: apache-2.0
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---
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# Branch Switch Classification Dataset (Augmented)
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## Dataset Description
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This dataset contains augmented training data for classifying whether a user's text indicates an intent to switch to a different branch/location in a healthcare/service context.
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### Dataset Summary
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- **Total Examples**: 6835
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- **Training Examples**: 5468
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- **Test Examples**: 1367
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- **Features**: Text statements and binary classification labels
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- **Language**: English
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- **Domain**: Healthcare/Service branch switching
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### Data Fields
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- `statement`: The input text/query from user
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- `wants_branch_switch`: Boolean label (True/False) indicating branch switch intent
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### Label Distribution
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- **True (wants branch switch)**: 3095 examples
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- **False (no branch switch)**: 3740 examples
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### Use Cases
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- Intent classification for customer service chatbots
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- Branch switching detection in healthcare systems
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- Location preference understanding in service applications
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### Data Augmentation
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This dataset has been augmented using:
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- Synonym replacement
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- Keyboard error simulation
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- Manual location-specific variations
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- Typo generation for place names
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### Citation
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If you use this dataset, please cite:
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```
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@dataset{branch_switch_augmented,
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author = {Sai Rohith},
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title = {Branch Switch Classification Dataset (Augmented)},
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year = {2025},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/hitty28/branch-switch-v3}
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}
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```
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### Licensing
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This dataset is released under Apache 2.0 License.
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