|
Download README.md from YaxinLuo/PosterBench: direct link, hf CLI and curl.
- Browser
- Download file 2.91 kB
-
https://huggingface.co/datasets/YaxinLuo/PosterBench/resolve/main/README.md
- Command line
-
hf download hf://datasets/YaxinLuo/PosterBench/README.md
-
curl -L -o README.md https://huggingface.co/datasets/YaxinLuo/PosterBench/resolve/main/README.md
2.91 kB
| license: mit | |
| pretty_name: PosterBench | |
| language: | |
| - en | |
| tags: | |
| - benchmark | |
| - academic-posters | |
| - poster-generation | |
| - metadata-only | |
| - arxiv:2608.13560 | |
| size_categories: | |
| - n<1K | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: test | |
| path: data/test.jsonl | |
| # PosterBench | |
| PosterBench is a 100-paper, image-native benchmark for academic poster | |
| generation introduced in [AutoDesign: Meta-Harness Optimization for | |
| Long-Horizon Agentic Design](https://arxiv.org/abs/2608.13560). | |
| This Hugging Face release is **metadata only**. It does not host or redistribute | |
| the underlying paper PDFs, full text, abstracts, figures, tables, or | |
| thumbnails. Each row identifies the exact benchmark paper version and records | |
| the official landing page, access policy, license information where available, | |
| and expected SHA-256. | |
| ## Load | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("YaxinLuo/PosterBench", split="test") | |
| ``` | |
| For the fixed 10-paper development subset, use | |
| [`YaxinLuo/PosterBench-mini`](https://huggingface.co/datasets/YaxinLuo/PosterBench-mini). | |
| ## Dataset structure | |
| The dataset contains 100 rows: 20 papers from each of five disciplines. | |
| - `id`: stable `discipline/case_id` identifier | |
| - `discipline`: benchmark discipline | |
| - `case_id`: stable case identifier | |
| - `title`, `authors`, `year`: bibliographic metadata | |
| - `identifiers`: DOI, arXiv, and OpenAlex identifiers where available | |
| - `landing_url`: official landing page | |
| - `download_policy`: `open_access` or `manual_access_required` | |
| - `pdf_url`: present only when the exact version has an approved Creative | |
| Commons or public-domain license | |
| - `license_url`: license for that exact paper version, when verified | |
| - `expected_sha256`: SHA-256 of the exact version used by the benchmark | |
| - `schema_version`: manifest schema version | |
| The benchmark downloader automatically downloads only records with an HTTPS | |
| PDF URL, an approved Creative Commons or public-domain license, and an exact | |
| hash match. All other records require users to obtain the paper independently | |
| through a lawful source available to them. | |
| ## License and rights boundary | |
| The MIT license for this repository applies only to the PosterBench metadata, | |
| benchmark-specific annotations, and documentation authored by the AutoDesign | |
| project. It does **not** apply to or grant any rights in the underlying papers | |
| or their contents. Each paper remains subject to its own copyright and license. | |
| Users are responsible for confirming that their access and use are lawful. | |
| ## Source and reproducibility | |
| - [AutoDesign repository](https://github.com/Yaxin9Luo/AutoDesign) | |
| - [PosterBench evaluation guide](https://github.com/Yaxin9Luo/AutoDesign/tree/main/eval) | |
| - [Canonical manifest](https://github.com/Yaxin9Luo/AutoDesign/blob/main/eval/benchmark_manifest.jsonl) | |
| - [Paper page](https://huggingface.co/papers/2608.13560) | |
| Please cite the AutoDesign paper when using PosterBench. | |