Upload Task 3 VLM benchmark dataset from Colab

Generated from Task 3 Google Sheet URLs and adapted for VLM A/B generation.

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README.md

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 ---
-license: gpl-3.0
+pretty_name: top-papers-graph Task 3 VLM A/B benchmark
+language:
+- ru
+tags:
+- scientific-papers
+- vision-language
+- multimodal
+- benchmark
+- ab-testing
+- top-papers-graph
+size_categories:
+- n<1K
+configs:
+- config_name: task3_vlm_generation
+  data_files:
+  - split: test
+    path: data/task3_vlm_generation.jsonl
+- config_name: task3_cases_flat
+  data_files:
+  - split: test
+    path: data/task3_cases_flat.jsonl
 ---
+
+# top-papers-graph Task 3 VLM A/B benchmark
+
+Dataset repository target: `top-papers/top-papers-graph-benchmark`.
+
+This dataset contains Task 3 case-based prompts adapted for **single VLM generation**. Expert-created A/B review prompts are transformed into model-facing evidence extraction or reasoning tasks. Expert rationales and expected error modes are kept in metadata, not in the model messages, to reduce prompt leakage during A/B generation.
+
+## Main files
+
+- `data/task3_vlm_generation.jsonl` — primary model-facing records.
+- `data/task3_cases_flat.jsonl` — compact case metadata for auditing.
+- `metadata/build_summary.json` — build statistics and warnings.
+- `review_metadata/task3_case_rationales.jsonl` — expert-only rationale/diagnostic metadata; do not feed this file to the evaluated VLM.
+- `assets/images/` — optional rendered pages or explicitly supplied image files referenced by `images`.
+
+## Loading
+
+```python
+from datasets import load_dataset
+from huggingface_hub import snapshot_download
+from pathlib import Path
+
+repo_id = "top-papers/top-papers-graph-benchmark"
+ds = load_dataset(repo_id, "task3_vlm_generation", split="test")
+repo_root = Path(snapshot_download(repo_id, repo_type="dataset"))
+row = ds[0]
+image_paths = [repo_root / rel for rel in row["images"]]
+messages = row["messages"]
+```
+
+Each row follows the TRL-style multimodal convention used elsewhere in this repository: `messages` contains text and `{"type": "image"}` placeholders, while top-level `images` contains relative paths in the same order.
+
+## Build summary
+
+- Cases written: 182
+- Cases with images: 59
+- Manifests discovered: 20
+- Rendered PDF pages: 111