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README.md

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+---
+annotations_creators: []
+language:
+  - en
+language_creators: []
+license: []
+multilinguality:
+- monolingual
+pretty_name: 'adaption-python_code_preferences'
+size_categories:
+- 1K<n<10K
+source_datasets: []
+tags:
+  - adaption
+  - preference-training
+  - code
+task_categories: []
+task_ids: []
+---
+
+![banner](https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/c1b11970-43d6-4e1a-9e41-659152c7501b.png)
+
+This dataset is a remastered version prepared using [Adaption's](https://adaptionlabs.ai/app/auth) Adaptive Data platform.
+
+# adaption-python_code_preferences
+
+This dataset consists of paired code completions designed for preference alignment of language models. Each entry contains a coding prompt alongside a chosen and a rejected response focused on Python, Django, and Flask topics. The preference pairs facilitate training models to output better implementation logic and framework usage.
+
+### Dataset size
+
+There are 5,000 data points in this dataset. This is a preference training dataset.
+
+### Quality of Remastered Dataset
+
+The final quality is B, with a relative quality improvement of -3.3%.
+
+### Domain
+- Code (100%)
+
+### Language
+- English (100%)
+
+### Tone
+- Technical (74%)
+- Educational (8%)
+- Analytical (8%)
+
+### Evaluation Results
+
+- **Quality Gains:**
+<img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/b9c4f73b-737b-4b2e-b9f2-19e98e3571e3.png" alt="QualityGains" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />
+
+- **Grade Improvement:**
+<img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/728faf73-218f-4a0c-872d-08c589106995.png" alt="Grade" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />
+
+- **Percentile Chart:**
+<img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/fc0a68e4-fab6-4084-b9c9-3052c8172541.png" alt="Percentile Chart" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />