annotations_creators: []
language:
- en
language_creators: []
license: []
multilinguality:
- monolingual
pretty_name: adaption-chart_qa_numeric
size_categories:
- 1K<n<10K
source_datasets:
- >-
extended|https://huggingface.co/datasets/Arnav-Gr0ver/ChartQA_Visual_Primitives
tags:
- adaption
- instruction-tuning
- data-analysis-visualization
- corporate-business
- market-analysis
task_categories: []
task_ids: []
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-chart_qa_numeric
This dataset contains question-answer pairs focused on extracting specific numeric values and years from chart-based contexts, covering topics like GDP, health indices, and tourism statistics. Each sample consists of a natural language prompt asking for a quantitative fact and a corresponding short completion providing the answer. The data appears to be a numeric subset of the ChartQA dataset, filtered for questions requiring scalar outputs rather than descriptive explanations.
Dataset size
There are 4,968 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 27.1%.
Domain
- Data-analysis-visualization (60%)
- Corporate-business (16%)
- Market-analysis (8%)
Language
- English (100%)
Tone
- Informative (74%)
- Analytical (18%)
- Objective (6%)
Evaluation Results
Quality Gains:
Grade Improvement:
Percentile Chart:
