metadata
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: []
This dataset is a remastered version of this dataset prepared using Adaption's 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:
Grade Improvement:
Percentile Chart:
