DanielRegaladoCardoso/svg-chart-render-v1

SVG Chart Render Mix v1

Training data for fine-tuning a small code model (DeepSeek Coder 1.3B) to map (chart specification JSON) to inline SVG code.

Part of the SQL Agent LLMOps project.

Part of the SQL Agent LLMOps project

Schema

Note: chart_spec and metadata are stored as JSON strings in the parquet. Parse with json.loads(row["chart_spec"]) after loading.

chart_spec structure

{
  "chart_type": "bar|line|scatter|donut|histogram|area",
  "data": [{"x": "value", "y": "value", "color": "value|null"}],
  "encoding": {"x": "col_name", "y": "col_name", "color": "col_name|null"},
  "title": "string or null",
  "x_label": "string or null",
  "y_label": "string or null"
}

Splits

Source attribution

Pipeline

Build script: `training/data_pipelines/build_svg_mix.py`

Three stages:

1. 1.synth-charts -- load nvBench chart configs, replay each in matplotlib (Agg/SVG backend), augment with NL paraphrases as candidate titles.
2. 2.svgen -- stream umuthopeyildirim/svgen-500k, keep only chart-shaped SVGs.
3. 3.combine-push -- dedup by SVG hash, 95/2.5/2.5 split, push to HF with card.

Usage

from datasets import load_dataset
import json

ds = load_dataset("DanielRegaladoCardoso/svg-chart-render-v1")
ex = ds["train"][0]

spec = json.loads(ex["chart_spec"])
print(spec["chart_type"])
print(ex["svg_code"][:200])

SFT format

import json

def to_sft(row):
    return {
        "messages": [
            {"role": "system", "content": "You render chart specifications as inline SVG."},
            {"role": "user", "content": "Render this chart spec as SVG:\n\n" + row["chart_spec"]},
            {"role": "assistant", "content": row["svg_code"]},
        ]
    }

Known limitations

• —SVGs from synth-matplotlib carry matplotlib's stylistic defaults (font, axes, ticks). The model will produce matplotlib-flavored SVGs.
• —svgen500k-* rows have no structured chart_spec -- only freeform title and _freeform_description are populated.
• —SVGs are capped at 50 KB to keep training tractable.
• —Only 6 chart types covered (bar, line, scatter, donut, histogram, area).

Citation

@dataset{regalado2026svgmix,
  author = {Regalado Cardoso, Daniel},
  title  = {SVG Chart Render Mix v1},
  year   = {2026},
  url    = {https://huggingface.co/datasets/DanielRegaladoCardoso/svg-chart-render-v1}
}

License

Pipeline and curation: Apache-2.0. nvBench data is MIT-licensed. svgen-500k rows carry per-row license fields from their upstream sources. See the source attribution table.

Built by Daniel Regalado Cardoso -- MSBA, University of Miami -- April 2026.