chart-reasoning
chart-reasoning-verified
chart-reasoning-verified
Chart reasoning examples generated from an explicit latent representation.
The data, the question and the answer are computed before the chart is
drawn, so the image is a rendering of known ground truth rather than the
source of it. No model was asked to label anything.
Each row carries both a rendered chart and a text serialisation of the same
chart, so the set is usable for vision-language training and for text-only
language model training without… See the full description on the dataset page: https://huggingface.co/datasets/vinod-anbalagan/chart-reasoning-verified.chart-reasoning-mix-v1
Chart Reasoning Mix v1
Training data for fine-tuning compact LLMs (Phi-3 Mini, Qwen 2.5 3B)
to map (natural-language question + SQL result schema) to a
storytelling-grade chart specification.
Part of the SQL Agent LLMOps project.
Total
Sources
Storytelling fields
35,167 rows
2 (nvBench real + OpenAI synth)
chart_type, encoding, title, sort, color_strategy, rationale
Part of the SQL Agent LLMOps project
Dataset
ModelRole… See the full description on the dataset page: https://huggingface.co/datasets/DanielRegaladoCardoso/chart-reasoning-mix-v1.simple_vlm_chart_reasoningmulti-chart-infographic-reasoningsdc-gradient-chart-xhard-v1
sdc-gradient-chart-xhard-v1
Gradient chart and heatmap — Extra Hard tier
Dataset Info
Rows: 2
Columns: 3
Columns
Column
Type
Description
image
Image(mode=None, decode=True)
Chart PNG
caption
Value('string')
Description
name
Value('string')
Chart ID
Generation Parameters
{
"script_name": "run_extra_hard_zero_shot.py",
"model": "gpt-5-2",
"description": "Gradient chart and heatmap \u2014 Extra Hard tier",
"experiment_id":… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/sdc-gradient-chart-xhard-v1.sdc-gradient-chart-medium-v1
sdc-gradient-chart-medium-v1
Gradient chart and heatmap images — Medium tier
Dataset Info
Rows: 2
Columns: 3
Columns
Column
Type
Description
image
Image(mode=None, decode=True)
Chart image (PNG)
caption
Value('string')
Chart description
name
Value('string')
Chart identifier
Generation Parameters
{
"script_name": "run_medium_zero_shot.py",
"model": "gpt-5-2",
"description": "Gradient chart and heatmap images \u2014 Medium… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/sdc-gradient-chart-medium-v1.