| --- |
| pretty_name: Matplotlib Code-Image Pairs |
| license: other |
| 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 examples |
| - `images_contours_and_fields`: 47 examples |
| - `text_labels_and_annotations`: 46 examples |
| - `mplot3d`: 44 examples |
| - `subplots_axes_and_figures`: 35 examples |
| - `misc`: 25 examples |
| - `ticks`: 24 examples |
| - `axes_grid1`: 22 examples |
| - `statistics`: 21 examples |
| - `event_handling`: 20 examples |
|
|
| ## Row Schema |
|
|
| - `image`: rendered PNG for one figure |
| - `code`: full Python source for the example |
| - `example_id`: stable identifier derived from the Matplotlib gallery URL |
| - `figure_index`: zero-based figure index within the example |
| - `figure_name`: original rendered image filename |
| - `title`: example page title |
| - `example_page_url`: Matplotlib gallery page URL |
| - `source_url`: downloadable Python source URL when available |
| - `source_relpath`: source filename reported by the scraper |
| - `category_hint`: rough gallery category inferred from the URL path |
| - `status`: scraper/render status kept for provenance |
| - `num_figures`: number of figures reported for the source example |
| - `error`: render or scrape error text, usually null for successful rows |
|
|
| ## Build Process |
|
|
| 1. Crawl the official Matplotlib gallery. |
| 2. Download the Python source for each example page. |
| 3. Render examples with Matplotlib's non-interactive `Agg` backend. |
| 4. Keep static rendered image/code pairs and skip dynamic animation-style examples. |
| 5. Export one dataset row per rendered image. |
|
|
| ## Usage |
|
|
| Load the local saved dataset: |
|
|
| ```python |
| 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: |
|
|
| ```python |
| 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 dataset card uses `license: other` by default, |
| but you should verify the correct redistribution requirements before publishing publicly and retain appropriate |
| Matplotlib attribution and license notices. |
|
|
