pretty_name: Matplotlib Code-Image Pairs
license: other
license_name: matplotlib-license
license_link: https://matplotlib.org/stable/project/license.html
tags:
- matplotlib
- code
- plotting
- computer-vision
- synthetic
Matplotlib Code-Image Pairs
Dataset Summary
This dataset contains static Matplotlib figure images paired with the Python source code that generated them. It was built from the official Matplotlib gallery and excludes animation-style examples. Each row corresponds to one rendered image. Examples that produce multiple figures contribute multiple rows.
Dataset Composition
- Image/code rows: 643
- Source examples: 452
- Examples with multiple figures: 74
- Included statuses: ok
- Source gallery: https://matplotlib.org/stable/gallery/index.html
Top Categories
lines_bars_and_markers: 48 examplesimages_contours_and_fields: 47 examplestext_labels_and_annotations: 46 examplesmplot3d: 44 examplessubplots_axes_and_figures: 35 examplesmisc: 25 examplesticks: 24 examplesaxes_grid1: 22 examplesstatistics: 21 examplesevent_handling: 20 examples
Row Schema
image: rendered PNG for one figurecode: full Python source for the exampleexample_id: stable identifier derived from the Matplotlib gallery URLfigure_index: zero-based figure index within the examplefigure_name: original rendered image filenametitle: example page titleexample_page_url: Matplotlib gallery page URLsource_url: downloadable Python source URL when availablesource_relpath: source filename reported by the scrapercategory_hint: rough gallery category inferred from the URL pathstatus: scraper/render status kept for provenancenum_figures: number of figures reported for the source exampleerror: render or scrape error text, usually null for successful rows
Build Process
- Crawl the official Matplotlib gallery.
- Download the Python source for each example page.
- Render examples with Matplotlib's non-interactive
Aggbackend. - Keep static rendered image/code pairs and skip dynamic animation-style examples.
- Export one dataset row per rendered image.
Usage
Load the local saved dataset:
from datasets import load_from_disk
ds = load_from_disk("/usr/project/xtmp/ap843/hf_datasets/matplotlib_code_image_pairs")["train"]
Load from the Hugging Face Hub after pushing:
from datasets import load_dataset
ds = load_dataset("ajayvikram/matplotlib-code-image", split="train")
License And Attribution
This dataset is derived from Matplotlib gallery examples. The card metadata uses license: other with
license_name: matplotlib-license and license_link: https://matplotlib.org/stable/project/license.html because the Matplotlib project uses a
project-specific license rather than a standard Hugging Face license identifier. The official Matplotlib license
permits use, distribution, and derivative works provided the Matplotlib copyright notice and license agreement
are retained. This is an interpretation of the official license page, not legal advice.