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README.md
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---
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annotations_creators: []
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language:
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- fr
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- en
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- ru
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language_creators: []
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license: []
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multilinguality:
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- multilingual
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pretty_name: 'ip_to_port_mapping'
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size_categories:
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- n<1K
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source_datasets:
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- 'original'
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tags:
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- adaption
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- preference-training
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- technology
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task_categories: []
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task_ids: []
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---
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This dataset is a remastered version prepared using [Adaption's](https://adaptionlabs.ai/app/auth) Adaptive Data platform.
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# ip_to_port_mapping
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This dataset consists of prompt-completion pairs mapping IPv4 addresses to their associated network port numbers. The samples include both public and private IP addresses linked to common service ports such as 80, 53, and 8080. It is structured for tasks involving network configuration prediction or port identification based on IP inputs.
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### Dataset size
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There are 138 data points in this dataset. This is a preference training dataset.
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### Quality of Remastered Dataset
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The final quality is B, with a relative quality improvement of 680.0%.
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### Domain
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- Technology (100%)
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### Language
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- French (60%)
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- English (34%)
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- Russian (6%)
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### Tone
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- Informative (98%)
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- Objective (2%)
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### Evaluation Results
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- **Quality Gains:**
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<img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/9673ee80-3ebe-401b-963f-7178abb6cc42.png" alt="QualityGains" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />
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- **Grade Improvement:**
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<img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/422ffdb3-d332-4109-8ba2-4a85b4187dc0.png" alt="Grade" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />
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- **Percentile Chart:**
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<img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/9de34fb2-34b5-48b8-a09f-b6912dd6df47.png" alt="Percentile Chart" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />
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