README.md

---
license: cc-by-sa-4.0
task_categories:
- text-classification
task_ids:
- multi-class-classification
language:
- en
- de
- es
- cs
multilinguality:
- multilingual
size_categories:
- 10K<n<100K
pretty_name: Multilingual Poetry Meter Classification
tags:
- poetry
- meter-classification
- prosody
- multilingual
- text-classification
- mteb
- poetrymteb
- embedding-evaluation
annotations_creators:
- found
source_datasets:
- riazhsks/multilingual-annotated-poems
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  default: true
dataset_info:
- config_name: default
  features:
  - name: id
    dtype: string
  - name: poem
    dtype: string
  - name: title
    dtype: string
  - name: author
    dtype: string
  - name: language
    dtype: string
  - name: label
    dtype: int64
  - name: label_name
    dtype: string
  splits:
  - name: train
    num_examples: 24464
  - name: test
    num_examples: 6114
---

# Multilingual Poetry Meter Classification

Multilingual **metrical foot classification** for PoetryMTEB embedding evaluation, built from EN/DE/ES/CS corpora with full text in [multilingual-annotated-poems](https://github.com/riazhsks/multilingual-annotated-poems).

Hungarian and modern Czech (C3P) standalone annotation files are excluded (no poem text in-repo).

## Dataset Card

| Item | Description |
|------|-------------|
| **Source** | [https://github.com/riazhsks/multilingual-annotated-poems](https://github.com/riazhsks/multilingual-annotated-poems) English / German / Spanish / CCV JSONL |
| **Languages** | `en`, `de`, `es`, `cs` |
| **Size** | train=24464; test=6114 (no validation) |
| **Classes** | 7 meters with frequency ≥ 10 (after per-language cap) |
| **Filtering** | Valid `metrical_foot`; drop noisy tags (`s`/`c`/`single`/…); length ∈ [40, 8000]; ≤10000 poems / language (stratified by meter) |
| **Splits** | Stratified by `language×meter` ≈ 80% / 19%, seed=42 |
| **License** | [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) |
| **Dataset version** | `1.0.0` |
| **Evaluation metrics** | **accuracy**, **macro/weighted F1** |

## Features

| Field | Type | Description |
|-------|------|-------------|
| `id` | string | Example id |
| `poem` | string | Poem text |
| `title` | string | Title |
| `author` | string | Author |
| `language` | string | `en` / `de` / `es` / `cs` |
| `label` | int64 | Meter class index |
| `label_name` | string | Metrical foot (e.g. `iambic`) |

### Language distribution

| language | train | test | total |
|----------|------:|-----:|------:|
| `en` | 1067 | 267 | 1334 |
| `de` | 7995 | 1998 | 9993 |
| `es` | 7402 | 1849 | 9251 |
| `cs` | 8000 | 2000 | 10000 |

### Label inventory (kept)

| id | label_name | gloss | train | test | total |
|---:|------------|-------|------:|-----:|------:|
| 0 | `iambic` | Iambic (抑扬格) | 14785 | 3696 | 18481 |
| 1 | `trochaic` | Trochaic (扬抑格) | 4375 | 1094 | 5469 |
| 2 | `polymetric` | Polymetric / mixed (多格律) | 4326 | 1081 | 5407 |
| 3 | `dactylic` | Dactylic (扬抑抑格) | 514 | 127 | 641 |
| 4 | `anapestic` | Anapestic (抑抑扬格) | 317 | 79 | 396 |
| 5 | `amphibrachic` | Amphibrachic (抑扬抑格) | 136 | 34 | 170 |
| 6 | `hexameter` | Hexameter (六音步) | 11 | 3 | 14 |

### Dropped / unused meters (examples)

| meter | count |
|-------|------:|
| sapphicusminor | 2 |
| prosodiakos | 2 |
| pherekrateus | 1 |
| elegiambus | 1 |
| glykoneus | 1 |

## Construction method

1. Load EN/DE/ES/CCV JSONL with `text` + `metrical_foot`.
2. Normalize meters; drop invalid/noisy tags; length-filter.
3. Cap each language at 10000 (stratified by meter) for balance.
4. Keep meters with ≥ 10 examples; assign frequency-descending ids.
5. Stratified train/test by language×meter.

## How to load

```python
from datasets import load_dataset

ds = load_dataset("PoetryMTEB/MultilingualPoetryMeterClassification")
print(ds["test"][0]["language"], ds["test"][0]["label_name"])
```

## Citation

```bibtex
@misc{riazhsks_multilingual_annotated_poems,
  title={Multilingual Annotated Poems},
  author={riazhsks},
  year={2025},
  url={https://github.com/riazhsks/multilingual-annotated-poems}
}
```

Also cite the upstream corpora used in that repository (CCV, DLK, Spanish sonnet corpora, poetry-eval) as appropriate.

Hub packaging: `PoetryMTEB/MultilingualPoetryMeterClassification` (v1.0.0).