File size: 2,751 Bytes
1c14d3f 6776d0e 1c14d3f 6776d0e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 | ---
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.
|