File size: 2,412 Bytes
251778f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
---
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: []
---

![banner](https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/8dea0ecf-8ed5-403e-9f75-76f17f1d1ac0.png)

This dataset is a remastered version of this [dataset](https://huggingface.co/datasets/Arnav-Gr0ver/ChartQA_Visual_Primitives) prepared using [Adaption's](https://adaptionlabs.ai/app/auth) 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:**
<img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/1ca746be-cad3-4e58-a714-54829fbf8b9c.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/29fca650-cc32-40d9-b081-0113429648f5.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/cf9a2200-33bb-45ee-92a5-e5963eae6181.png" alt="Percentile Chart" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />