| --- |
| license: gemma |
| task_categories: |
| - image-to-text |
| language: |
| - en |
| size_categories: |
| - 10K<n<100K |
| tags: |
| - synthetic |
| - slug-generation |
| - editorial-images |
| - distillation |
| pretty_name: slugvision |
| --- |
| |
| # slugvision |
|
|
| ~32,000 image → URL-slug pairs for training small vision-language models to |
| generate 3–5 word kebab-case permalink slugs, e.g. `three-brown-teddy-bears`, |
| `nursing-workforce-growth-scaling`. Built as the distillation corpus for |
| [slugvision-500m](https://huggingface.co/kelnei/slugvision-500m) and |
| [slugvision-2.2b](https://huggingface.co/kelnei/slugvision-2.2b). |
|
|
| The distribution mimics editorial-site image uploads (article cards): a mix |
| of everyday photos, conceptual editorial illustrations, product shots, |
| clinical stock imagery, and web-page screenshots. All slugs were authored by |
| a locally hosted Gemma-family teacher (26B-class); roughly half the corpus |
| pairs each image with the article headline it was generated for, which |
| trains a titled mode where the slug reflects the article topic rather than |
| just the visible content. |
|
|
| ## Slices |
|
|
| | Slice | Images | Labels file | Images included? | Title mode | |
| |---|---|---|---|---| |
| | photo | 20,000 | `photo/slugs_photos.jsonl` | **No** — COCO train2017 (see below) | untitled | |
| | illustration | 5,000 | `illustration/slugs_illustrations.jsonl` | Yes (FLUX.1-schnell renders) | titled | |
| | product | 2,500 | `product/slugs_products.jsonl` | Yes (FLUX.1-schnell renders) | untitled | |
| | clinical | 2,500 | `clinical/slugs_clinical.jsonl` | Yes (FLUX.1-schnell renders) | half titled / half untitled | |
| | screenshot | 2,000 | `screenshot/slugs_screenshots.jsonl` | Yes (rendered from bundled HTML) | titled | |
|
|
| **COCO images are not redistributed** — they are Flickr-sourced with mixed |
| per-image licenses. `photo/slugs_photos.jsonl` keys each slug by its COCO |
| train2017 filename (e.g. `000000000776.jpg`); download the images from |
| [cocodataset.org](https://cocodataset.org/#download) and join on filename. |
| Every other slice's images were generated for this dataset and ship here. |
|
|
| ## Layout |
|
|
| ``` |
| photo/slugs_photos.jsonl labels keyed by COCO filename |
| illustration/ |
| slugs_illustrations.jsonl labels (+ generation headline as title) |
| illustration_prompts.jsonl teacher-authored FLUX prompts (headline, scene, style) |
| images/illus-NNNNNN.jpg 5,000 renders |
| product/ (same shape: labels, prompts, images/prod-NNNNNN.jpg) |
| clinical/ |
| ... labels, prompts, images/clin-NNNNNN.jpg |
| clinical_titles_half.jsonl which images were labeled with a title |
| screenshot/ |
| slugs_screenshots.jsonl labels (page headline as title) |
| screenshot_prompts.jsonl page index (id, topic, headline) |
| pages/shot-NNNNNN.html 2,000 teacher-authored self-contained pages |
| images/shot-NNNNNN.jpg rendered screenshots (varied viewports) |
| train.jsonl the exact 30,739-pair training split |
| eval.jsonl the frozen 1,000-image eval split (200/slice) |
| ``` |
|
|
| Label record shape: |
|
|
| ```json |
| {"image": "illus-000014.jpg", "slug": "iron-absorption-mechanism-process", |
| "raw": "iron-absorption-mechanism-process", |
| "title": "How Iron Absorption Works in the Human Body", "valid": true} |
| ``` |
|
|
| `slug` is the normalized label (lowercase kebab-case); `raw` is the teacher's |
| verbatim reply; `valid` flags 3–5 word format compliance (97.7–99.8% per |
| slice). `title: null` means the untitled prompt mode. `train.jsonl` / |
| `eval.jsonl` records use repo-relative image paths plus a `slice` field — |
| photo-slice paths point at COCO filenames you must supply yourself. |
|
|
| ## Generation pipeline |
|
|
| 1. **Prompts/pages**: the teacher authored FLUX prompts (headline + scene + |
| style) for illustrations, products, and clinical imagery, and complete |
| self-contained HTML pages for screenshots. |
| 2. **Images**: FLUX.1-schnell (4 steps) rendered the three generated slices; |
| Playwright/Chromium screenshotted the HTML at weighted random viewports. |
| 3. **Labels**: the teacher labeled every image — with the source headline in |
| context for titled slices, image-only otherwise. |
|
|
| All generation, training, and eval scripts live in the project repo: |
| [github.com/kelnei/slugvision](https://github.com/kelnei/slugvision). |
|
|
| ## License notes |
|
|
| - Slugs, prompts, and HTML pages are outputs of a Gemma-family model — |
| usable per the [Gemma Terms of Use](https://ai.google.dev/gemma/terms) |
| (hence the license tag). |
| - Generated images are FLUX.1-schnell outputs (Apache-2.0 model). |
| - COCO annotations/filenames referenced under CC-BY 4.0; images not included. |
|
|
