Datasets:
| {"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"], "retired": "Retired 2026-10-28: the anime/manga style ask doesn't match how the benchmark author actually illustrates repos and posts (photoreal banners, often with sloths or other animals; a blocky mascot in a real scene; neon or crayon title art). Both saved annotations of round 2026-10-28-informal were on these prompts and scored rating_overall 2/10 despite passing every validation tick: 'looks like something you'd hang up in a kindergarten instead of put on a tech blog' (tgb-t2i-01, Ideogram V4.5); 'functional diagram, just not terribly exciting' (tgb-t2i-02, FLUX.3 Klein). Those annotations stay in the ratings dataset."} | |
| {"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"], "retired": "Retired 2026-10-28: the anime/manga style ask doesn't match how the benchmark author actually illustrates repos and posts (photoreal banners, often with sloths or other animals; a blocky mascot in a real scene; neon or crayon title art). Both saved annotations of round 2026-10-28-informal were on these prompts and scored rating_overall 2/10 despite passing every validation tick: 'looks like something you'd hang up in a kindergarten instead of put on a tech blog' (tgb-t2i-01, Ideogram V4.5); 'functional diagram, just not terribly exciting' (tgb-t2i-02, FLUX.3 Klein). Those annotations stay in the ratings dataset."} | |
| {"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"], "retired": "Retired 2026-10-28: the anime/manga style ask doesn't match how the benchmark author actually illustrates repos and posts (photoreal banners, often with sloths or other animals; a blocky mascot in a real scene; neon or crayon title art). Both saved annotations of round 2026-10-28-informal were on these prompts and scored rating_overall 2/10 despite passing every validation tick: 'looks like something you'd hang up in a kindergarten instead of put on a tech blog' (tgb-t2i-01, Ideogram V4.5); 'functional diagram, just not terribly exciting' (tgb-t2i-02, FLUX.3 Klein). Those annotations stay in the ratings dataset."} | |
| {"id": "tgb-t2i-04", "modality": "text-to-image", "style": "cover art, free style", "prompt": "Cover art for a blog post about fine-tuning a speech recognition model on one person's voice so it understands both tech jargon and Hebrew words dropped into English sentences. Two earlier specialist models (a tech-vocabulary model and a code-switching model) feed into one combined model that does both without getting worse at either. Show the idea visually: sound waves from a speaker turning into accurate text, two streams merging into one, a sense of things clicking into place. Warm, colourful and characterful, with a nod to Israeli street food (the models are named after foods: the combined one is Sabich, a stuffed pita). Leave clear space at the top for a title. Do not try to write a title or any sentences.", "input_image": null, "expected_text": [], "validation": [], "structure_checks": ["two streams visibly merge into one", "speech turning into text is legible as an idea", "clear space left at the top", "any text that appears is real, correctly spelled words; no pseudo-text or garbled glyphs"], "notes": "Descriptive prompt with no exact strings, no title and no diagram elements: ratings only, no validation ticks. structure_checks are a checklist for the ratings.", "retired": "Retired 2026-10-28: a descriptive prompt with no text, title or diagram asked for gives nothing to validate, so it doesn't belong in a text-and-structure benchmark (annotator, 2026-10-28: 'doesn't meet the validation criteria for the benchmark itself'). Annotations already made stay in the ratings dataset."} | |
| {"id": "tgb-t2i-09", "modality": "text-to-image", "style": "photoreal animal hero, descriptive", "prompt": "Hero image for a blog post about running large language models on a GPU at home instead of paying for cloud APIs. Photorealistic and a little funny: a sloth in a cosy home office at night, lit by the glow of a large desktop PC with a big graphics card visible through its glass side panel, fans spinning. The sloth looks proud and slightly overheated. Through the window, a faint city skyline. Leave clear, uncluttered space on the left third for a title to be added later. Do not write any text, logos, labels or numbers anywhere in the image.", "input_image": null, "expected_text": [], "validation": [], "structure_checks": ["photoreal sloth with a home GPU rig", "left third left clear for a title", "any text that appears fails: no logos, brand names or pseudo-text on the PC or screen"], "notes": "Descriptive prompt with no exact strings, no title and no diagram elements: ratings only, no validation ticks. Invented text or brand names on the PC count against the ratings.", "retired": "Retired 2026-10-28: a descriptive prompt with no text, title or diagram asked for gives nothing to validate, so it doesn't belong in a text-and-structure benchmark (annotator, 2026-10-28: 'doesn't meet the validation criteria for the benchmark itself'). Annotations already made stay in the ratings dataset."} | |