Boo Bench v1.0: 179 pages in four rooms, one repetition_overshoot rule per page

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README.md

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+---
+license: apache-2.0
+configs:
+- config_name: boo-bench
+  features:
+  - name: pdf
+    dtype: string
+  - name: category
+    dtype: string
+  - name: id
+    dtype: string
+  - name: type
+    dtype: string
+  - name: rule
+    dtype: string
+  - name: page
+    dtype: int64
+  - name: expected_markdown
+    dtype: string
+  - name: tags
+    sequence: string
+  data_files:
+  - split: real
+    path: real.jsonl
+  - split: trap
+    path: trap.jsonl
+  - split: ghost
+    path: ghost.jsonl
+  - split: script
+    path: script.jsonl
+language:
+- en
+- multilingual
+pretty_name: Boo Bench
+size_categories:
+- n<1K
+tags:
+- document-parsing
+- pdf
+- ocr
+- benchmark
+- evaluation
+- repetition
+- hallucination
+- vlm
+---
+
+# 👻 Boo Bench
+
+![Boo Bench: a haunted house for document parsers](thumbnails/boobench_teaser.png)
+
+**Quick links:** [\[💻 Code: ParseBench\]](https://github.com/run-llama/ParseBench) [\[📊 ParseBench dataset\]](https://huggingface.co/datasets/llamaindex/ParseBench)
+
+Some pages make a vision model lose its nerve: a dot leader that never ends, a grid of 192 ghosts, a code written in
+O and 0, a script it has barely seen. The frightened model keeps going, one more dot, one more row, one more ghost,
+and writes more than the page holds. **That is a Boo.**
+
+**Boo Bench** is a haunted house of **179 pages built to scare document parsers into repeating themselves**, and one
+rule per page that catches it: *the output may repeat nothing more than the page holds.* Writing a leader in another
+character, splitting, merging or dropping a repetition never fails; only overshoot does. An empty answer fails too, so
+a parser cannot pass by saying nothing.
+
+## The four rooms
+
+![Four rooms: real pages, trap pages, ghost pages and haunted scripts](thumbnails/boobench_rooms.png)
+
+| Room (split) | Pages | Ground truth | What is inside |
+|---|---:|---|---|
+| 🕯️ `real` | 100 | the page's text layer | Real pages with a repetition: dot leaders, fill-in blanks, rules of `=`, rows of `0.00`, repeated lines, in 23 kinds. Chosen from 131k candidate pages (out of 2.64M) as the ones that came closest to tricking production parsers, one per document. |
+| 🕸️ `trap` | 48 | exact, generated | 16 trap families × 3 Halloween-themed pages: near-identical rows, sequences and lists that stop early, fill-in forms, repeated blocks, repetition written as an instruction (`la la la (×3)`), dense number grids, codes (Morse, binary, bar glyphs), box drawing and text art, tiled watermarks, homoglyphs (`O0`, `l1I`), stacked diacritics, right-to-left and vertical text, rare emoji sequences, nearly blank pages, giant words. |
+| 👻 `ghost` | 16 | exact, generated | Grids, rows and tallies of ghost, pumpkin, bat, spider and skull emoji: the purest temptation to loop. |
+| 💀 `script` | 15 | none needed | Scans of the UDHR's Article 1, the alphabet and the digits in 15 scripts (Armenian, Canadian syllabics, Cherokee, Ethiopic, Gujarati, Kannada, Khmer, Malayalam, Mongolian, Myanmar, Sinhala, Syriac, Tamil, Thaana, Vietnamese). The page repeats nothing, so any repetition is a loop. |
+
+Trap, ghost and script pages are image-only PDFs, so a parser has to read the pixels.
+
+## What a Boo looks like
+
+![A Boo: the page's table holds 159 x check marks, the parser wrote 8,181](thumbnails/boobench_boo_example.png)
+
+A rotated table of study criteria marks each cell with an `x`: 159 of them on the page. The parser wrote 8,181 `x`
+in one run, until its output ran out. The page is on the left, the parser's output on the right, the loop in red.
+
+## Running it
+
+Boo Bench runs with the [ParseBench](https://github.com/run-llama/ParseBench) CLI, on any of its pipelines:
+
+```bash
+pip install parse-bench            # or: uv tool install parse-bench
+
+parse-bench run llamaparse_agentic --dataset boo                # downloads to ./data/boo, runs, scores, opens the report
+parse-bench run llamaparse_agentic --dataset boo --group script # one room: real, trap, ghost or script
+parse-bench download --dataset boo
+parse-bench status --dataset boo
+```
+
+The score is the rule pass rate: the share of pages with no Boo, overall and per room.
+
+### On your own documents
+
+```bash
+parse-bench boo make ./my_docs                         # writes <name>.test.json next to every PDF
+parse-bench run llamaparse_agentic --input_dir ./my_docs
+```
+
+`boo make` reads each PDF's text layer and writes one `repetition_overshoot` rule budgeted from it, the way the
+`real` room was built. A PDF without a text layer is skipped (`--scans` tests it as a page that repeats nothing).
+
+## The rule: `repetition_overshoot`
+
+The output is cleaned of markdown and HTML syntax (table separators, grids, rules, bold markers, tags), look-alike
+characters are folded (`O`/`0`, `I`/`l`/`ǀ`/`1`, `$`/`5`) so a misread is not a loop, and the page fails on the worst
+overshoot of:
+
+| Budget | Limit |
+|---|---|
+| One fill run (dots, dashes, underscores, `=`, `·`, `…`, `▪`) | 2 × the page's longest + 40, one line of the page (250), or 2 × the page's block of leader lines + 40 |
+| All fill together | 2 × the page's total + 40, or 250 per line of the page |
+| A run of one character, a 2-8 character unit or a token | 2 × its count on the page + 20 |
+| A repeated line or HTML table row | 2 × the count of its rarest word on the page + 40 |
+| A whole table written out again | 2 × its count on the page (at least once) |
+
+On a text-layer page, a value the text layer lacks (a number drawn in a chart) is not budgeted, and a value repeated
+across a table's distinct rows (a chart transcribed point by point) is data, not a loop. On a generated page the
+reference is exact, so every copy counts. Every generated page passes with its exact transcription, written plainly,
+with blank lines, as a markdown list or as an HTML table, and fails when its last row is looped 150 times.
+
+## Leaderboard
+
+![Who got spooked? The Boo Bench leaderboard](thumbnails/boobench_leaderboard.png)
+
+Ghost-free: pages answered without a Boo, out of 179. **Boos** count loops, loops hidden inside an answer they broke
+(for example a JSON response), and pages that came back empty. **Lost** counts pages still being written when the
+10-minute clock ran out. Equal scores share a rank.
+
+| Rank | Parser | Kind | Ghost-free | Boos | Lost |
+|---:|---|---|---:|---:|---:|
+| 1 | LlamaParse Agentic | Document parser | 100.0% | 0 | 0 |
+| 1 | LlamaParse Agentic Plus | Document parser | 100.0% | 0 | 0 |
+| 1 | Datalab Accurate | Document parser | 100.0% | 0 | 0 |
+| 1 | Datalab Fast | Document parser | 100.0% | 0 | 0 |
+| 5 | Datalab Balanced | Document parser | 99.4% | 1 | 0 |
+| 5 | Extend (2.0) | Document parser | 99.4% | 1 | 0 |
+| 5 | GPT-6 Luna | Frontier VLM | 99.4% | 1 | 0 |
+| 5 | GPT-6.1 Terra | Frontier VLM | 99.4% | 1 | 0 |
+| 5 | Reducto | Document parser | 99.4% | 1 | 0 |
+| 5 | Reducto (non-agentic) | Document parser | 99.4% | 1 | 0 |
+| 5 | Reducto (r-1) | Document parser | 99.4% | 1 | 0 |
+| 12 | Azure DI (Layout) | Document parser | 98.9% | 2 | 0 |
+| 12 | Claude Sonnet 5.5 | Frontier VLM | 98.9% | 2 | 0 |
+| 12 | Grok 4.6 | Frontier VLM | 98.9% | 2 | 0 |
+| 12 | Muse Spark 1.3 | Frontier VLM | 98.9% | 2 | 0 |
+| 16 | LlamaParse Cost Effective | Document parser | 98.3% | 3 | 0 |
+| 17 | AWS Textract | Document parser | 97.8% | 4 | 0 |
+| 17 | Claude Haiku 5.5 | Frontier VLM | 97.8% | 4 | 0 |
+| 17 | Gemini 3.8 Flash | Frontier VLM | 97.8% | 4 | 0 |
+| 17 | Gemini 4 Argon | Frontier VLM | 97.8% | 4 | 0 |
+| 21 | Claude Opus 5.5 | Frontier VLM | 97.2% | 5 | 0 |
+| 22 | Gemini 3.5 Flash-Lite | Frontier VLM | 96.6% | 6 | 0 |
+| 23 | Extend (v1) | Document parser | 96.1% | 7 | 0 |
+| 24 | Mistral OCR 4.1 | Document parser | 95.0% | 9 | 0 |
+| 24 | Mistral OCR 4.1 (Annotation) | Document parser | 95.0% | 9 | 0 |
+| 26 | Infinity-Parser 2 Flash | Open VLM | 93.3% | 12 | 0 |
+| 27 | Databricks AI Parse | Document parser | 92.7% | 13 | 0 |
+| 28 | HunyuanOCR 1.5 | Open VLM | 92.2% | 14 | 0 |
+| 28 | Pulse Ultra 2 | Document parser | 92.2% | 14 | 0 |
+| 30 | MinerU 2605 Pro | Open VLM | 91.6% | 15 | 0 |
+| 31 | Chandra 2 | Open VLM | 91.1% | 16 | 0 |
+| 32 | Extend Light (1.0) | Document parser | 89.4% | 19 | 0 |
+| 33 | olmOCR 2 7B | Open VLM | 88.8% | 20 | 0 |
+| 34 | GLM-OCR | Open VLM | 86.6% | 24 | 0 |
+| 35 | Qwen 3.8 27B | Open VLM | 82.1% | 24 | 8 |
+| 36 | PaddleOCR-VL 1.6 | Open VLM | 77.1% | 14 | 27 |
+| 37 | Nemotron Omni 30B | Open VLM | 61.5% | 12 | 57 |
+
+## Data format
+
+The rows follow the ParseBench format, one per page:
+
+| Field | Meaning |
+|---|---|
+| `pdf` | path of the page, `docs/<room>/<id>.pdf` |
+| `category` | the room: `real`, `trap`, `ghost` or `script` |
+| `id` | the page's name |
+| `type` | `repetition_overshoot` |
+| `rule` | the rule's budgets, as a JSON string: `reference_text`, `page_fill_runs`, `page_lines`, and the slacks |
+| `page` | unused (every document is one page) |
+| `expected_markdown` | the exact transcription, for trap and ghost pages |
+| `tags` | the room, plus `kind:` (real pages), `family:` (trap pages) or `script:` (scans) |
+
+## Known limitations
+
+- The `real` room's ground truth is a text layer, not a human transcription. The budgets are loose on purpose (a text
+  layer can undercount a leader drawn with a symbol font), and a garbled text layer can still undercount a value the
+  page shows many times.
+- The factor of 2 means a loop shorter than the page's own count of that unit passes.
+- `real/Exhibit_D_Gift-Loan_Disclosure_p1` has a resource cycle that some PDF libraries refuse to open. A parser that
+  cannot read it returns nothing for it, which counts as a Boo.
+
+## License and citation
+
+Apache 2.0, like ParseBench. The `real` pages are single pages of publicly available documents. If you use Boo Bench,
+please cite ParseBench:
+
+```bibtex
+@misc{zhang2026parsebench,
+      title={ParseBench: A Document Parsing Benchmark for AI Agents},
+      author={Boyang Zhang and Sebastián G. Acosta and Preston Carlson and Sacha Bron and Pierre-Loïc Doulcet and Simon Suo},
+      year={2026},
+      eprint={2604.08538},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2604.08538},
+}
+```

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