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+---
+dataset_info:
+  - config_name: wtqa
+    features:
+      - name: question
+        dtype: string
+      - name: a
+        dtype: string
+      - name: b
+        dtype: string
+      - name: c
+        dtype: string
+      - name: d
+        dtype: string
+      - name: level
+        dtype: string
+      - name: true_label
+        dtype: string
+      - name: language
+        dtype: string
+    splits:
+      - name: test
+        num_examples: 1024
+  - config_name: wfc
+    features:
+      - name: url
+        dtype: string
+      - name: title
+        dtype: string
+      - name: type
+        dtype: string
+      - name: sugar
+        dtype: float64
+      - name: alcohol
+        dtype: float64
+      - name: country
+        dtype: string
+      - name: region
+        sequence: string
+      - name: grapes
+        sequence: string
+      - name: dryness
+        dtype: string
+      - name: acidity
+        dtype: string
+      - name: body
+        dtype: string
+    splits:
+      - name: test
+        num_examples: 1000
+  - config_name: fwp
+    features:
+      - name: wine
+        dtype: string
+      - name: recipe
+        dtype: string
+      - name: true_label
+        dtype: string
+      - name: wine_url
+        dtype: string
+    splits:
+      - name: test
+        num_examples: 1000
+configs:
+  - config_name: wtqa
+    data_files:
+      - split: test
+        path: wtqa/test-*
+  - config_name: wfc
+    data_files:
+      - split: test
+        path: wfc/test-*
+  - config_name: fwp
+    data_files:
+      - split: test
+        path: fwp/test-*
+license: cc-by-nc-4.0
+task_categories:
+  - question-answering
+  - text-classification
+
+language:
+  - en
+  - da
+  - de
+  - es
+  - fi
+  - it
+  - sk
+  - sv
+tags:
+  - wine
+  - sommelier
+  - benchmark
+pretty_name: SommBench
+size_categories:
+  - 1K<n<10K
+---
+
+# SommBench
+
+**SommBench** is a multilingual benchmark for assessing sommelier expertise in large language models. It comprises 3,024 expert-curated examples across eight languages (da, de, en, es, fi, it, sk, sv), designed by professional sommeliers to evaluate sensory grounding, factual wine knowledge, and practical pairing skills through three tasks: WTQA, WFC, and FWP.
+
+## Configs
+
+### `wtqa` — Wine Theory Question Answering (1,024 examples)
+Multiple-choice questions about wine knowledge at varying difficulty levels.
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `question` | `string` | The question text |
+| `a` | `string` | Answer choice A |
+| `b` | `string` | Answer choice B |
+| `c` | `string` | Answer choice C |
+| `d` | `string` | Answer choice D |
+| `level` | `string` | Difficulty level (Level 1–4) |
+| `true_label` | `string` | Correct answer key (a/b/c/d) |
+| `language` | `string` | Language code (da, de, en, es, fi, it, sk, sv) |
+
+### `wfc` — Wine Feature Completion (1,000 examples)
+Complete missing attributes of a wine profile from partial metadata using structured generation.
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `url` | `string` | Source URL |
+| `title` | `string` | Wine name/vintage |
+| `type` | `string` | Wine type (red, white, …) |
+| `sugar` | `float64` | Sugar content (g/L) |
+| `alcohol` | `float64` | Alcohol percentage |
+| `country` | `string` | Country of origin |
+| `region` | `list[string]` | Wine region(s) |
+| `grapes` | `list[string]` | Grape variety/varieties |
+| `dryness` | `string` | Dryness classification |
+| `acidity` | `string` | Acidity classification |
+| `body` | `string` | Body classification |
+
+### `fwp` — Food-Wine Pairing (1,000 examples)
+Binary classification of whether a wine pairs well with a given recipe.
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `wine` | `string` | Wine name |
+| `recipe` | `string` | Recipe / dish description |
+| `true_label` | `string` | Pairing label (yes/no) |
+| `wine_url` | `string` | Vivino/Alko URL for the wine |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+wtqa = load_dataset("sommify/test", "wtqa", split="test")
+wfc  = load_dataset("sommify/test", "wfc",  split="test")
+fwp  = load_dataset("sommify/test", "fwp",  split="test")
+```
+
+## Citation
+
+If you use SommBench in your research, please cite:
+
+```bibtex
+@misc{brach2026sommbenchassessingsommelierexpertise,
+      title={SommBench: Assessing Sommelier Expertise of Language Models},
+      author={William Brach and Tomas Bedej and Jacob Nielsen and Jacob Pichna and Juraj Bedej and Eemeli Saarensilta and Julie Dupouy and Gianluca Barmina and Andrea Blasi Núñez and Peter Schneider-Kamp and Kristian Košťál and Michal Ries and Lukas Galke Poech},
+      year={2026},
+      eprint={2603.12117},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2603.12117}
+}
+```
+## Links
+
+- **Paper:** [SommBench: Assessing Sommelier Expertise of Language Models](https://arxiv.org/abs/2603.12117)
+- **GitHub:** [https://github.com/sommify/sommbench](https://github.com/sommify/sommbench)
+