README.md

metadata

license: cc-by-nc-4.0
task_categories:
  - text-classification
task_ids:
  - multi-class-classification
language:
  - te
multilinguality:
  - monolingual
size_categories:
  - n<1K
pretty_name: Padyam2GadyamMeterClassification
tags:
  - poetry
  - telugu
  - meter-classification
  - chandassu
  - text-classification
  - mteb
  - poetrymteb
  - embedding-evaluation
annotations_creators:
  - expert-generated
source_datasets:
  - TeluguLLMResearch/Padyam2Gadyam
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: label
        dtype: int64
      - name: label_name
        dtype: string
    splits:
      - name: train
        num_examples: 468
      - name: test
        num_examples: 118

Padyam2GadyamMeterClassification

Single-label Telugu poetic meter (chandassu) classification for PoetryMTEB embedding evaluation, derived from Padyam2Gadyam.

Dataset Card

Item	Description
Source	TeluguLLMResearch/Padyam2Gadyam; paper arXiv:2606.02806
Languages	Telugu (te)
Size	train=468; test=118 (no validation; MTEB Classification uses train→fit, test→score)
Classes	7 meters with frequency ≥ 10
Filtering	Dropped 14 poems in rare meters (count < 10); raw=600 → kept=586
Splits	Stratified by meter ≈ 80% / 19% (train / test), seed=42
License	CC BY-NC 4.0 (same as upstream)
Evaluation metrics	Classification on embeddings: accuracy, macro/weighted F1

---

Features

Field	Type	Description
id	string	Example id
poem	string	Classical Telugu poem text
label	int64	Meter class index (0 … C−1)
label_name	string	Meter name in Telugu

Codebook: label_taxonomy.json.

Label inventory (kept)

id	label_name	gloss	count
0	కందం	Kandam (坎达体)	216
1	ఉత్పలమాల	Utpalamāla (优钵罗鬘)	115
2	చంపకమాల	Champakamāla (瞻波迦鬘)	79
3	మత్తేభము	Mattebhamu (醉象律)	79
4	శార్దూలము	Śārdūlamu (虎律)	43
5	తేటగీతి	Tēṭagīti (澄歌体)	35
6	ఆటవెలది	Āṭaveladi (戏舞体)	19

Dropped meters (count < 10)

meter	count
సీసము+తేటగీతి	6
మాలిని	2
చంపకమాల-పంచపాది	2
తరళము	1
ఉత్పలమాల-పంచపాది	1
ఉత్సాహము	1
మత్తకోకిల	1

---

Construction method

1. Load TeluguLLMResearch/Padyam2Gadyam.
2. Count Meter; keep classes with frequency ≥ 10.
3. Map kept meters to contiguous label ids (frequency-descending order).
4. Stratified train/test split by meter (no validation split).

---

How to load

from datasets import load_dataset

ds = load_dataset("PoetryMTEB/Padyam2GadyamMeterClassification")
print(ds["test"][0]["label_name"], ds["test"][0]["poem"][:60])

For embedding evaluation, encode poem, fit a classifier on train labels, score on test.

---

License

Distributed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0), consistent with the upstream dataset.

---

Citation / provenance

@misc{kranti2026translatingclassicalpoetrymodern,
      title={Translating Classical Poetry into Modern Prose}, 
      author={Chalamalasetti Kranti and Sowmya Vajjala},
      year={2026},
      eprint={2606.02806},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2606.02806}, 
}

• Dataset: https://huggingface.co/datasets/TeluguLLMResearch/Padyam2Gadyam
• Paper: https://arxiv.org/abs/2606.02806
• This Hub packaging: PoetryMTEB/Padyam2GadyamMeterClassification