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| 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 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 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. | |