README.md

---
license: cc-by-sa-4.0
task_categories:
- text-classification
task_ids:
- multi-class-classification
language:
- cs
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
pretty_name: Czech Verse Form Classification
tags:
- poetry
- czech
- form-classification
- poetic-form
- text-classification
- mteb
- poetrymteb
- embedding-evaluation
annotations_creators:
- found
source_datasets:
- riazhsks/multilingual-annotated-poems
- versotym/corpusCzechVerse
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: label
    dtype: int64
  - name: label_name
    dtype: string
  splits:
  - name: train
    num_examples: 7018
  - name: test
    num_examples: 1754
---

# Czech Verse Form Classification

Single-label **Czech poetic form classification** for PoetryMTEB, using **gold** `form` labels from the Corpus of Czech Verse (CCV) subset packaged in [multilingual-annotated-poems](https://github.com/riazhsks/multilingual-annotated-poems).

Only poems with a non-empty original form label are kept (most CCV poems are unlabeled for form). Rule-based auto-form labels are **not** used.

## Dataset Card

| Item | Description |
|------|-------------|
| **Source** | [https://github.com/riazhsks/multilingual-annotated-poems](https://github.com/riazhsks/multilingual-annotated-poems) → `corpora/czech_poems_processed_ccv.jsonl`; upstream [CCV](https://github.com/versotym/corpusCzechVerse) |
| **Languages** | Czech (`cs`) |
| **Size** | train=7018; test=1754 (no validation) |
| **Classes** | 19 forms with frequency ≥ 10 |
| **Filtering** | Gold form only; length ∈ [40, 8000]; rare forms dropped |
| **Splits** | Stratified by form ≈ 80% / 19%, seed=42 |
| **License** | [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) (packaging; cite CCV) |
| **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 |
| `label` | int64 | Form class index |
| `label_name` | string | Czech form name |

### Label inventory (kept)

| id | label_name | gloss | train | test | source_count* |
|---:|------------|-------|------:|-----:|--------------:|
| 0 | `sonet` | Sonnet (十四行) | 4483 | 1121 | 5604 |
| 1 | `strofa venuše a adonise` | Venus and Adonis stanza | 578 | 145 | 723 |
| 2 | `ritornel` | Ritornello | 534 | 133 | 667 |
| 3 | `madrigal` | Madrigal | 472 | 118 | 590 |
| 4 | `hrdinský kuplet` | Heroic couplet | 170 | 43 | 213 |
| 5 | `stance` | Stance / stanza form | 169 | 42 | 211 |
| 6 | `siciliána` | Siciliana | 108 | 27 | 135 |
| 7 | `gazel` | Ghazal | 85 | 21 | 106 |
| 8 | `elegické distichon` | Elegiac couplet | 84 | 21 | 105 |
| 9 | `sapfická strofa` | Sapphic stanza | 73 | 18 | 91 |
| 10 | `rondó` | Rondeau | 69 | 17 | 86 |
| 11 | `tercína` | Terza rima | 43 | 11 | 54 |
| 12 | `rondel` | Rondel | 42 | 11 | 53 |
| 13 | `sestina` | Sestina | 31 | 8 | 39 |
| 14 | `sonet anglický` | English sonnet | 29 | 7 | 36 |
| 15 | `limerik` | Limerick | 20 | 5 | 25 |
| 16 | `alkajská strofa` | Alcaic stanza | 10 | 2 | 12 |
| 17 | `spenserova strofa` | Spenserian stanza | 10 | 2 | 12 |
| 18 | `chaucerova strofa` | Chaucerian stanza / rhyme royal | 8 | 2 | 10 |

### Dropped forms (count &lt; 10)

| form | count |
|------|------:|
| asklepiadská strofa 4 | 6 |
| kasída | 4 |
| arte mayor | 3 |
| triolet | 2 |
| burnsova strofa | 2 |
| huitain | 1 |

## Construction method

1. Load CCV JSONL from multilingual-annotated-poems.
2. Keep rows with gold `form` + `text` (skip `null` form).
3. Length filter; keep classes ≥ 10.
4. Frequency-descending label ids; stratified train/test.

## How to load

```python
from datasets import load_dataset

ds = load_dataset("PoetryMTEB/CzechVerseFormClassification")
print(ds["test"][0]["label_name"])
```

## Citation

```bibtex
@article{ccv2015,
  author  = {Plecháč, Petr and Kolár, Robert},
  title   = {The Corpus of Czech Verse},
  journal = {Studia Metrica et Poetica},
  volume  = {2},
  number  = {1},
  year    = {2015},
  pages   = {107--118},
  doi     = {10.12697/smp.2015.2.1.05}
}

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

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