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| pretty_name: codey-bench | |
| license: cc-by-nc-4.0 | |
| language: | |
| - ko | |
| - en | |
| task_categories: | |
| - text-generation | |
| tags: | |
| - structured-output | |
| - json | |
| - web-design | |
| size_categories: | |
| - n<1K | |
| configs: | |
| - config_name: ko | |
| default: true | |
| data_files: | |
| - split: test | |
| path: data/ko/test.jsonl | |
| - config_name: en | |
| data_files: | |
| - split: test | |
| path: data/en/test.jsonl | |
| - config_name: ko-synth | |
| data_files: | |
| - split: test | |
| path: data/ko-synth/test.jsonl | |
| # codey-bench | |
| Each row is a product brief for a web page (Markdown). The model receives the brief and must | |
| produce one **Codey Design Document (CDD)** as JSON, the page's structured design: sections, | |
| blocks and theme. A reference document is included for each brief. | |
| `system_prompt.txt` is the system message for every row. It states the task and the CDD | |
| format, and ends with "Answer with one JSON object and nothing else." | |
| ## Subsets | |
| | subset | rows | language | briefs and references | | |
| |---|---|---|---| | |
| | `ko` (default) | 20 | Korean | written by product planners | | |
| | `en` | 99 | English | synthesized with gpt-4.1 | | |
| | `ko-synth` | 98 | Korean | Korean versions of `en`, same `id`s | | |
| ## Fields | |
| | field | description | | |
| |---|---| | |
| | `id` | document id; `en` and `ko-synth` share ids | | |
| | `lang` | `ko` or `en` | | |
| | `domain` | business domain, e.g. `hair-salon`, `agency` | | |
| | `brief` | the Markdown brief, used as the user message | | |
| | `reference` | the reference CDD as a JSON string | | |
| | `gold_schema_valid` | the reference conforms to the CDD schema (always `true`) | | |
| | `gold_gate_errors` | number of rendering-rule violations in the reference; 0 for every `ko` row. Synthesized references keep asset metadata keys and section links that the renderer rejects | | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| from huggingface_hub import hf_hub_download | |
| ds = load_dataset("AISeedCorp/codey-bench", "ko", split="test") | |
| system = open(hf_hub_download("AISeedCorp/codey-bench", "system_prompt.txt", repo_type="dataset")).read() | |
| messages = [{"role": "system", "content": system}, | |
| {"role": "user", "content": ds[0]["brief"]}] | |
| ``` | |
| ## License | |
| CC BY-NC 4.0. | |