Datasets:

danielrosehill
/

Tech-Graphics-Benchmark-Runs

license: cc-by-4.0
pretty_name: Tech Graphics Benchmark (generations)
task_categories:
  - text-to-image
  - image-to-image
tags:
  - diagrams
  - text-rendering
  - benchmark

Tech Graphics Benchmark: generations

Write-up: Can image models spell the labels? A first look at my Tech Graphics Benchmark

Every image generated for Tech-Graphics-Benchmark, one folder per round.

Prompts: danielrosehill/Tech-Graphics-Benchmark
Annotations (raw eval data): danielrosehill/Tech-Graphics-Benchmark-Ratings

Layout: <run_id>/manifest.jsonl + <run_id>/images/<gen_id>.png. Manifest rows are shuffled and gen_ids are opaque, so the annotation Space stays blind.

Field	Meaning
`gen_id`, `run_id`, `prompt_id`, `attempt`	Identity: prompt and which try (1..N)
`model`, `endpoint`, `provider`	Model label, provider endpoint ID, provider (`fal`)
`image`	Path relative to the dataset root
`seed`	Seed the provider reported, or null
`requested_size`	Size the round asked for (`image_size`, or `aspect_ratio` + `resolution`)
`width`, `height`	Delivered size in pixels
`usd_per_image`, `price_basis`	Cost per image and where it came from (list price unless stated)
`created`	Local generation time