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README.md

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+---
+license: cc-by-4.0
+pretty_name: Tech Graphics Benchmark (test prompts)
+task_categories:
+- text-to-image
+- image-to-image
+tags:
+- diagrams
+- text-rendering
+- benchmark
+---
+
+# Tech Graphics Benchmark: test prompts
+
+Test prompts for [Tech-Graphics-Benchmark](https://github.com/danielrosehill/Tech-Graphics-Benchmark): can an image model make a colourful, stylised tech diagram without getting the text or the arrows wrong?
+
+`prompts.jsonl`, one record per prompt:
+
+| Field | Meaning |
+|---|---|
+| `id` | `tgb-t2i-NN` (text-to-image) or `tgb-i2i-NN` (image-to-image) |
+| `modality` | `text-to-image` or `image-to-image` |
+| `style` | The visual style asked for |
+| `prompt` | Exact text sent to the model |
+| `input_image` | Path under `inputs/` for image-to-image, else `null` |
+| `expected_text` | Every string that must appear, spelled exactly. Pass/fail ground truth |
+| `structure_checks` | Arrow, layout and content instructions the grader checks |
+
+`inputs/whiteboard-mcp-01.jpg` is from [Sample-Whiteboards](https://github.com/danielrosehill/Sample-Whiteboards) (`whiteboards/030426.jpg`, photographed 2026-04-03).

prompts.jsonl

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+{"id": "tgb-t2i-01", "modality": "text-to-image", "style": "anime / manga", "prompt": "Create a bright, colourful anime-style explainer diagram for a blog post about fine-tuning speech recognition models for domain vocabulary. Title at the top, exactly: \"Fine-Tuning for Domain Vocabulary\". Two side-by-side panels. Left panel heading: \"Whisper Small\". Right panel heading: \"Whisper Large\". In each panel, a box labelled \"Base Model\" on the left with an arrow pointing right to a box labelled \"Fine-Tuned Model\". Above each arrow, the label \"+ 2 hrs domain audio\". Under the left panel's boxes: \"WER 18.4%\" under Base Model and \"WER 7.1%\" under Fine-Tuned Model. Under the right panel's boxes: \"WER 9.6%\" under Base Model and \"WER 5.2%\" under Fine-Tuned Model. At the bottom, a caption banner reading exactly: \"Smaller models gain more from fine-tuning\". A cheerful anime character in the corner points at the left panel. No other text.", "input_image": null, "expected_text": ["Fine-Tuning for Domain Vocabulary", "Whisper Small", "Whisper Large", "Base Model", "Fine-Tuned Model", "+ 2 hrs domain audio", "WER 18.4%", "WER 7.1%", "WER 9.6%", "WER 5.2%", "Smaller models gain more from fine-tuning"], "structure_checks": ["two side-by-side panels", "in each panel an arrow from Base Model to Fine-Tuned Model", "WER figures sit under the correct box in the correct panel", "character points at the left panel", "no extra text"]}
+{"id": "tgb-t2i-02", "modality": "text-to-image", "style": "manga, bold ink with flat colour", "prompt": "Create a manga-style technical diagram, bold ink lines with flat bright colours, showing a speech-to-text pipeline. Four boxes in a single left-to-right row, connected by arrows pointing right: \"Audio In\" -> \"Voice Activity Detection\" -> \"Transcription\" -> \"Text Out\". Below the row, a separate box labelled \"Custom Vocabulary\" with one arrow pointing up into \"Transcription\" only. A small speech bubble coming out of \"Text Out\" says exactly: \"Kubernetes, not Cooper Nettys!\". No other text.", "input_image": null, "expected_text": ["Audio In", "Voice Activity Detection", "Transcription", "Text Out", "Custom Vocabulary", "Kubernetes, not Cooper Nettys!"], "structure_checks": ["four boxes in one row, left to right, in the stated order", "three right-pointing arrows between them", "Custom Vocabulary sits below the row", "exactly one arrow from Custom Vocabulary, pointing into Transcription", "speech bubble comes from Text Out", "no extra text"]}
+{"id": "tgb-i2i-01", "modality": "image-to-image", "style": "keep handwriting, add colour", "prompt": "Turn this whiteboard photo into a clean, colourful diagram. Remove the whiteboard frame, glare and background, and correct the perspective to a straight-on view on a white background. Keep my handwriting style but make it neater and easy to read. Keep every label, box and arrow exactly where it is and pointing the same way. Fix obvious misspellings of technical names (\"Proxmox\", \"Replicate\", \"Remote\") but do not add, remove or reword any label. Add colour: give each group of related boxes its own soft colour and make the arrows a contrasting colour.", "input_image": "inputs/whiteboard-mcp-01.jpg", "expected_text": ["WAN", "Telegram", "CF / Tailscale", "OpenClaw", "Docker", "VM", "META MCP", "META MCP 2", "Desktop Client", "No proxy possible", "LAN use", "LAN MCPs", "NAS", "HA", "SBCs", "Proxmox", "SSE Remote MCPs", "Replicate", "Google"], "structure_checks": ["Desktop Client -> META MCP 2", "Desktop Client -> VM", "WAN -> OpenClaw (labelled CF / Tailscale)", "META MCP -> LAN MCPs", "META MCP -> SSE Remote MCPs", "LAN MCPs -> NAS, HA, SBCs, Proxmox", "SSE Remote MCPs -> Replicate, Google", "upward arrow labelled LAN use", "handwriting character kept", "no labels added or dropped"]}
+{"id": "tgb-i2i-02", "modality": "image-to-image", "style": "anime, clean sans-serif labels", "prompt": "Redraw this whiteboard sketch as a vibrant anime-style infographic. Replace all of my handwritten labels with a clean sans-serif font, spelled correctly. Keep the same layout: every label, box and arrow stays in the same relative position and every arrow points the same way. Draw the two little faces as small cute anime characters, keeping their labels (\"Desktop Client\" and \"Telegram\"). Do not add, remove or reword any label.", "input_image": "inputs/whiteboard-mcp-01.jpg", "expected_text": ["WAN", "Telegram", "CF / Tailscale", "OpenClaw", "Docker", "VM", "META MCP", "META MCP 2", "Desktop Client", "No proxy possible", "LAN use", "LAN MCPs", "NAS", "HA", "SBCs", "Proxmox", "SSE Remote MCPs", "Replicate", "Google"], "structure_checks": ["Desktop Client -> META MCP 2", "Desktop Client -> VM", "WAN -> OpenClaw (labelled CF / Tailscale)", "META MCP -> LAN MCPs", "META MCP -> SSE Remote MCPs", "LAN MCPs -> NAS, HA, SBCs, Proxmox", "SSE Remote MCPs -> Replicate, Google", "upward arrow labelled LAN use", "all labels in sans-serif type", "no labels added or dropped"]}