Text Classification
Scikit-learn
Joblib
English
scikit-learn
tfidf
logistic-regression
Synthetic
responsible-ai
workflow-automation
Eval Results (legacy)
Instructions to use nwhite-systems/nwhite-ai-operations-intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use nwhite-systems/nwhite-ai-operations-intent-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("nwhite-systems/nwhite-ai-operations-intent-classifier", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
File size: 5,254 Bytes
447c0e5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 | {
"description": "Functional smoke examples, not a benchmark",
"examples": [
{
"text": "Design a controlled sequence that assigns a new support request, records each hand-off and pauses for a supervisor before any consequential change.",
"expected_intent": "workflow_automation",
"predicted_intent": "workflow_automation",
"matches_expected": true,
"top_probabilities": [
{
"intent": "workflow_automation",
"probability": 0.25173970286178327
},
{
"intent": "analytics",
"probability": 0.14608161352719087
},
{
"intent": "document_processing",
"probability": 0.1172506057834092
}
]
},
{
"text": "Extract the reference, date and category from a batch of synthetic forms, preserve page citations and queue uncertain fields for review.",
"expected_intent": "document_processing",
"predicted_intent": "document_processing",
"matches_expected": true,
"top_probabilities": [
{
"intent": "document_processing",
"probability": 0.26252662031364493
},
{
"intent": "analytics",
"probability": 0.11820465287105189
},
{
"intent": "knowledge_retrieval",
"probability": 0.11471476985565923
}
]
},
{
"text": "Analyse the demonstration queue by service type and ageing band, showing median turnaround, missing values and reproducible aggregates.",
"expected_intent": "analytics",
"predicted_intent": "analytics",
"matches_expected": true,
"top_probabilities": [
{
"intent": "analytics",
"probability": 0.3112028647640029
},
{
"intent": "reporting",
"probability": 0.11827456054337938
},
{
"intent": "workflow_automation",
"probability": 0.113612834506195
}
]
},
{
"text": "Find the approved guidance for an internal procedure, cite the exact section and say clearly when the knowledge base does not contain an answer.",
"expected_intent": "knowledge_retrieval",
"predicted_intent": "knowledge_retrieval",
"matches_expected": true,
"top_probabilities": [
{
"intent": "knowledge_retrieval",
"probability": 0.3725641890421974
},
{
"intent": "exception_handling",
"probability": 0.11718831857416644
},
{
"intent": "human_escalation",
"probability": 0.10669078884517795
}
]
},
{
"text": "Quarantine the affected record when validation fails, preserve the evidence, alert its owner and define safe retry conditions without stopping other work.",
"expected_intent": "exception_handling",
"predicted_intent": "exception_handling",
"matches_expected": true,
"top_probabilities": [
{
"intent": "exception_handling",
"probability": 0.39957975522975697
},
{
"intent": "workflow_automation",
"probability": 0.14827720513606246
},
{
"intent": "document_processing",
"probability": 0.08959612528781084
}
]
},
{
"text": "Prepare a privacy-minimised review pack and route the uncertain high-impact request to a named manager for an explicit recorded decision.",
"expected_intent": "human_escalation",
"predicted_intent": "human_escalation",
"matches_expected": true,
"top_probabilities": [
{
"intent": "human_escalation",
"probability": 0.17873971468427835
},
{
"intent": "workflow_automation",
"probability": 0.1528334966928371
},
{
"intent": "analytics",
"probability": 0.13204253575995994
}
]
},
{
"text": "Synchronise approved synthetic records between two sandbox systems with schema validation, idempotency keys, bounded retries and reconciliation totals.",
"expected_intent": "api_integration",
"predicted_intent": "api_integration",
"matches_expected": true,
"top_probabilities": [
{
"intent": "api_integration",
"probability": 0.524774023979317
},
{
"intent": "analytics",
"probability": 0.07249582870387707
},
{
"intent": "knowledge_retrieval",
"probability": 0.07125293418771814
}
]
},
{
"text": "Generate a monthly operational summary with reporting period, volumes, overdue work, definitions, source coverage and data-quality caveats.",
"expected_intent": "reporting",
"predicted_intent": "reporting",
"matches_expected": true,
"top_probabilities": [
{
"intent": "reporting",
"probability": 0.4905433258815887
},
{
"intent": "analytics",
"probability": 0.09335855933097363
},
{
"intent": "exception_handling",
"probability": 0.0820343071940959
}
]
}
]
}
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