| --- |
| pretty_name: AmbiHTMLBench |
| license: mit |
| language: |
| - en |
| - zh |
| task_categories: |
| - image-to-text |
| tags: |
| - document-understanding |
| - html |
| - benchmark |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: pages |
| data_files: |
| - split: test |
| path: index/pages.jsonl |
| --- |
| |
| # AmbiHTMLBench |
|
|
| **Reconstruct document page images as executable HTML.** |
|
|
| [Code](https://github.com/theseus-labs-rsi/AmbiHTMLBench) | [Browse pages](https://ambihtmlbench.tech) | [Download ZIP](https://huggingface.co/datasets/Theseus-Lab/AmbiHTMLBench/resolve/main/archives/AmbiHTMLBench.zip?download=true) |
|
|
| AmbiHTMLBench evaluates content, structure, and visual fidelity in image-to-HTML |
| reconstruction. The benchmark covers institutional PDF documents, web-native |
| documentation, newspapers and magazines, and posters or design-heavy pages. |
|
|
| ## What is included |
|
|
| | Material | This release | |
| |---|---:| |
| | Reference page images | 1,115 | |
| | Annotated blocks | 28,939 | |
| | Annotation version | GT v5 | |
| | Evaluation split | `test` | |
|
|
| Each page has an original image and a complete block-annotation JSON file. |
| Images retain their original bytes, resolution and format. The `test` split is |
| for evaluation; it is not a training split. This package contains reference |
| materials, not model predictions or judge records. |
|
|
| ## Download and use |
|
|
| Download the [complete ZIP](https://huggingface.co/datasets/Theseus-Lab/AmbiHTMLBench/resolve/main/archives/AmbiHTMLBench.zip?download=true) and extract it, or fetch the repository: |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| |
| snapshot_download(repo_id="Theseus-Lab/AmbiHTMLBench", repo_type="dataset", |
| local_dir="AmbiHTMLBench", ignore_patterns=["archives/*"]) |
| ``` |
|
|
| Read a page from the downloaded directory: |
|
|
| ```python |
| import json |
| from pathlib import Path |
| from PIL import Image |
| |
| root = Path("AmbiHTMLBench") |
| rows = [json.loads(line) for line in (root / "index/pages.jsonl").read_text(encoding="utf-8").splitlines()] |
| page_id = "0001" |
| page = next(row for row in rows if row["page_id"] == page_id) |
| image = Image.open(root / page["image_path"]) |
| annotation = json.loads((root / page["annotation_path"]).read_text(encoding="utf-8")) |
| assert annotation["ID"] == int(page_id) |
| ``` |
|
|
| For the lightweight index only: |
|
|
| ```python |
| from datasets import load_dataset |
| |
| pages = load_dataset("Theseus-Lab/AmbiHTMLBench", "pages", split="test") |
| ``` |
|
|
| The viewer contains **one metadata row per page**. Full images and annotations |
| are in the linked page directories; loading the index does not download them. |
| Use a fixed Hub commit revision when reproducing an experiment. |
|
|
| ## Dataset structure |
|
|
| ```text |
| README.md |
| LICENSE |
| release.json |
| manifest.json |
| SHA256SUMS |
| index/pages.jsonl |
| pages/0001/image.<original-format> |
| pages/0001/annotation.json |
| ... |
| annotations/AmbiHTMLBench_GT_v5_1115.json |
| archives/AmbiHTMLBench.zip |
| ``` |
|
|
| Index rows contain `page_id`, `path`, `image_path`, `annotation_path`, |
| `image_width`, `image_height`, `block_count`, and `annotation_version`. |
| All file paths are relative to the dataset repository root. |
|
|
| Page IDs are four-digit strings (`0001` through `1115` in the full release). |
| Each ID links the image and ground truth in `pages/<page_id>/`; the index |
| provides their exact local paths. The numeric `ID` in each annotation and in |
| the aggregate ground truth identifies the same page. |
|
|
| Each `annotation.json` contains `ID` and the complete original `contentList`. |
| Blocks contain semantic labels in `name`, text/table/formula |
| content in `remark`, and pixel coordinates in `left`, `top`, `width`, `height` |
| where present. Optional block fields and Unicode text are retained. The aggregate |
| GT file contains the same page annotations. Source image URL fields are omitted |
| from the index, annotations, manifest and ZIP. Images are loaded from downloaded |
| files using the ID-to-path mapping; no source URL lookup is needed or provided. |
|
|
| `SHA256SUMS` covers expanded files and the ZIP, excluding itself. `manifest.json` |
| records source and image identities and expanded-file digests, excluding itself |
| and the ZIP. The ZIP contains the expanded release and manifest, without the |
| outer ZIP or `SHA256SUMS`. |
|
|
| ## Evaluation |
|
|
| Install and follow the [evaluation code](https://github.com/theseus-labs-rsi/AmbiHTMLBench). |
| Use the aggregate GT JSON and separately generated HTML predictions to measure |
| table, text and layout fidelity. For offline reference visualizations, resolve |
| each page's local image through the index. This GT v5 release is separate from |
| the frozen OLS5 subjective experiment's input snapshot. |
|
|
| ## Materials and intended use |
|
|
| Reference pages include diverse layouts and multilingual text. Images are |
| included in the release and can be used offline after download. |
| The public annotations are evaluation references and should not be supplied as |
| inputs to models being evaluated. Exposure or training contamination can affect |
| comparisons. |
|
|
| ## License |
|
|
| This dataset is released under the [MIT License](LICENSE). |
|
|
