---
license: apache-2.0
task_categories:
- text-classification
task_ids:
- multi-class-classification
language:
- ar
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
pretty_name: FannOrFlopClassification
tags:
- poetry
- arabic
- text-classification
- genre-classification
- meter-classification
- era-classification
- mteb
- poetrymteb
- embedding-evaluation
annotations_creators:
- expert-generated
source_datasets:
- omkarthawakar/FannOrFlop
configs:
- config_name: genre
  data_files:
  - split: train
    path: genre/train-*
  - split: validation
    path: genre/validation-*
  - split: test
    path: genre/test-*
  default: true
- config_name: meter
  data_files:
  - split: train
    path: meter/train-*
  - split: validation
    path: meter/validation-*
  - split: test
    path: meter/test-*
- config_name: era
  data_files:
  - split: train
    path: era/train-*
  - split: validation
    path: era/validation-*
  - split: test
    path: era/test-*
dataset_info:
- config_name: genre
  features:
  - name: id
    dtype: string
  - name: title
    dtype: string
  - name: author
    dtype: string
  - name: poem
    dtype: string
  - name: label
    dtype: int64
  - name: label_name
    dtype: string
  splits:
  - name: train
    num_examples: 5176
  - name: validation
    num_examples: 657
  - name: test
    num_examples: 1106
- config_name: meter
  features:
  - name: id
    dtype: string
  - name: title
    dtype: string
  - name: author
    dtype: string
  - name: poem
    dtype: string
  - name: label
    dtype: int64
  - name: label_name
    dtype: string
  splits:
  - name: train
    num_examples: 5176
  - name: validation
    num_examples: 657
  - name: test
    num_examples: 1106
- config_name: era
  features:
  - name: id
    dtype: string
  - name: title
    dtype: string
  - name: author
    dtype: string
  - name: poem
    dtype: string
  - name: label
    dtype: int64
  - name: label_name
    dtype: string
  splits:
  - name: train
    num_examples: 5176
  - name: validation
    num_examples: 657
  - name: test
    num_examples: 1106
---

# FannOrFlopClassification

Single-label **Arabic poetry classification** for PoetryMTEB embedding evaluation, derived from [Fann or Flop](https://huggingface.co/datasets/omkarthawakar/FannOrFlop) (EMNLP 2025).

Three configs share the **same poems and the same poet-aware train/validation/test split**:

| Config | Task | #classes |
|--------|------|---------:|
| `genre` | poetic genre / theme | 14 |
| `meter` | poetic meter (ʿarūḍ) | 19 |
| `era` | historical era | 12 |

## Dataset Card

| Item | Description |
|------|-------------|
| **Source** | [omkarthawakar/FannOrFlop](https://huggingface.co/datasets/omkarthawakar/FannOrFlop); paper [arXiv:2505.18152](https://arxiv.org/abs/2505.18152) |
| **Languages** | Arabic (`ar`) |
| **Size** | train=5176; validation=657; test=1106 (after filtering) |
| **Filtering** | Removed poems with unlabeled meter `غير محدد` (n=45). Raw=6984 → kept=6939. |
| **Label type** | Single-label multiclass (`label` int + `label_name` string) |
| **Splits** | Poet-aware ~8:1:1 (`train` / `validation` / `test`), **shared across configs** |
| **License** | [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0) (same as upstream) |
| **Evaluation metrics** | Classification on embeddings: **accuracy**, **macro/weighted F1** |

---

## Features

| Field | Type | Description |
|-------|------|-------------|
| `id` | string | Upstream poem id |
| `title` | string | Poem title |
| `author` | string | Poet name |
| `poem` | string | Poem body (verse index lines removed) |
| `label` | int64 | Class index (0 … C−1) |
| `label_name` | string | Arabic class name |

Label inventories: `label_taxonomy.json`.

---

## Label inventories (all splits pooled)

### genre

| id | name | count |
|---:|------|------:|
| 0 | مدح | 1354 |
| 1 | غزل | 894 |
| 2 | هجاء | 872 |
| 3 | حكمه | 705 |
| 4 | عامه | 609 |
| 5 | عتاب | 601 |
| 6 | رثاء | 466 |
| 7 | فراق | 458 |
| 8 | سياسية | 261 |
| 9 | دينية | 244 |
| 10 | شوق | 211 |
| 11 | اعتذار | 106 |
| 12 | صبر | 97 |
| 13 | حزينة | 61 |

### meter

| id | name | count |
|---:|------|------:|
| 0 | الطويل | 1791 |
| 1 | الكامل | 1298 |
| 2 | البسيط | 892 |
| 3 | الوافر | 783 |
| 4 | الخفيف | 533 |
| 5 | السريع | 329 |
| 6 | المتقارب | 303 |
| 7 | الرمل | 297 |
| 8 | الرجز | 289 |
| 9 | المنسرح | 202 |
| 10 | المجتث | 87 |
| 11 | الهزج | 80 |
| 12 | المديد | 35 |
| 13 | المتدارك | 5 |
| 14 | الدوبيت | 4 |
| 15 | موشح | 4 |
| 16 | المقتضب | 3 |
| 17 | المواليا | 3 |
| 18 | المضارع | 1 |

### era

| id | name | count |
|---:|------|------:|
| 0 | العصر العباسي | 2342 |
| 1 | العصر الحديث | 699 |
| 2 | العصر الأموي | 556 |
| 3 | المغرب والأندلس | 446 |
| 4 | الدولة الايوبية | 413 |
| 5 | الدولة الفاطمية | 409 |
| 6 | الدولة المملوكية | 408 |
| 7 | قبل الإسلام | 368 |
| 8 | الشعراء المخضرمون | 361 |
| 9 | العصر العثماني | 326 |
| 10 | عصر بين الدولتين | 321 |
| 11 | العصر الإسلامي | 290 |

---

## Construction method

1. Load [omkarthawakar/FannOrFlop](https://huggingface.co/datasets/omkarthawakar/FannOrFlop).
2. Drop poems whose `meter` is `غير محدد` (unlabeled).
3. Normalize `poem_verses` into `poem` (strip numeric verse indices).
4. Build frequency-ordered label vocabularies for `genre`, `meter`, `era`.
5. Poet-aware split ≈ 80% / 10% / 10%; reuse the same split for all three configs.

---

## How to load

```python
from datasets import load_dataset

genre = load_dataset("PoetryMTEB/FannOrFlopClassification", "genre")
meter = load_dataset("PoetryMTEB/FannOrFlopClassification", "meter")
era = load_dataset("PoetryMTEB/FannOrFlopClassification", "era")

print(genre["test"][0]["title"], genre["test"][0]["label_name"])
```

For embedding evaluation, encode `poem` (optionally prepend `title`), then train a linear / MLP classifier on `label`.

---

## License

Distributed under **Apache License 2.0**, consistent with the upstream FannOrFlop release.

---

## Citation / provenance

```bibtex
@inproceedings{alghallabi-etal-2025-fann,
  title = {{Fann or Flop: A Multigenre, Multiera Benchmark for Arabic Poetry Understanding in LLMs}},
  author = {{Alghallabi, Wafa and Thawkar, Ritesh and Ghaboura, Sara and More, Ketan and Thawakar, Omkar and Cholakkal, Hisham and Khan, Salman and Anwer, Rao Muhammad}},
  booktitle = {{Proceedings of EMNLP 2025}},
  year = {{2025}},
  url = {{https://arxiv.org/abs/2505.18152}},
}
```

- Upstream dataset: [https://huggingface.co/datasets/omkarthawakar/FannOrFlop](https://huggingface.co/datasets/omkarthawakar/FannOrFlop)
- This Hub packaging: `PoetryMTEB/FannOrFlopClassification`