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README.md

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+---
+annotations_creators: []
+language:
+  - en
+language_creators: []
+license: []
+multilinguality:
+- monolingual
+pretty_name: '2023_events'
+size_categories:
+- 1K<n<10K
+source_datasets:
+- 'extended|https://huggingface.co/datasets/Reubencf/2023_events'
+tags:
+  - adaption
+  - instruction-tuning
+  - news
+  - governance
+  - legal
+task_categories: []
+task_ids: []
+---
+
+![banner](https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/33473575-a78c-48bf-9619-86f92d8cc3da.png)
+
+This dataset is a remastered version of this [dataset](https://huggingface.co/datasets/Reubencf/2023_events) prepared using [Adaption's](https://adaptionlabs.ai/app/auth) Adaptive Data platform.
+
+# 2023_events
+
+A dataset containing 50 samples.
+
+### Dataset size
+
+There are 4,667 data points in this dataset. This is an instruction tuning dataset.
+
+### Quality of Remastered Dataset
+
+The final quality is B, with a relative quality improvement of 3.8%.
+
+### Domain
+- News (36%)
+- Governance (30%)
+- Legal (8%)
+
+### Language
+- English (100%)
+
+### Tone
+- Informative (70%)
+- Analytical (14%)
+- Objective (14%)
+
+### Evaluation Results
+
+- **Quality Gains:**
+<img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/d4ecaf29-afb4-4f09-b63b-cc117125e7f5.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/9bc779e1-2599-4998-ac6f-30b59e1b3456.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/7860e6e4-171a-4ded-aba5-673d92182a6e.png" alt="Percentile Chart" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />