README.md

---
license: mit
task_categories:
- text-classification
task_ids:
- multi-class-classification
language:
- te
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
pretty_name: ChandassuMeterClassification
tags:
- poetry
- telugu
- meter-classification
- chandassu
- text-classification
- mteb
- poetrymteb
- embedding-evaluation
annotations_creators:
- expert-generated
source_datasets:
- BodduSriPavan111/chandassu
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: 3721
  - name: test
    num_examples: 930
---

# ChandassuMeterClassification

Single-label **Telugu poetic meter (chandassu / type) classification** for PoetryMTEB, derived from the Chandassu corpus ([Kaggle](https://www.kaggle.com/datasets/boddusripavan111/chandassu) / [Mendeley](https://data.mendeley.com/datasets/46wrt7v53c/1) / [Hugging Face](https://huggingface.co/datasets/BodduSriPavan111/chandassu); local `Chandassu_Dataset.csv`).

## Dataset Card

| Item | Description |
|------|-------------|
| **Source** | [Kaggle](https://www.kaggle.com/datasets/boddusripavan111/chandassu); [Mendeley Data](https://data.mendeley.com/datasets/46wrt7v53c/1) (DOI: [10.17632/46wrt7v53c.1](https://doi.org/10.17632/46wrt7v53c.1)); [Hugging Face](https://huggingface.co/datasets/BodduSriPavan111/chandassu); paper [arXiv:2510.01233](https://arxiv.org/abs/2510.01233) |
| **Languages** | Telugu (`te`) |
| **Size** | train=3721; test=930 (no validation) |
| **Classes** | 8 meters (`type` field) |
| **Splits** | Stratified ≈ 80% / 19% by meter, with **cross-dataset anti-leakage** vs `PoetryMTEB/Padyam2GadyamMeterClassification` |
| **License** | [MIT](https://opensource.org/licenses/MIT) (same as upstream) |
| **Evaluation metrics** | Classification on embeddings: **accuracy**, **macro/weighted F1** |

### Cross-dataset split constraint

Relative to [PoetryMTEB/Padyam2GadyamMeterClassification](https://huggingface.co/datasets/PoetryMTEB/Padyam2GadyamMeterClassification):

1. **Chandassu train** does **not** contain poems that appear in **Padyam test**
2. **Chandassu test** does **not** contain poems that appear in **Padyam train**

Matching uses whitespace-normalized poem text. Forced assignments:  
Padyam-train overlaps → Chandassu **train** (20 poems);  
Padyam-test overlaps → Chandassu **test** (6 poems).

Verified after split: `chandassu_train ∩ pady_test = 0`, `chandassu_test ∩ pady_train = 0`.

---

## Features

| Field | Type | Description |
|-------|------|-------------|
| `id` | string | Example id |
| `poem` | string | Telugu poem (`raw_padyam_text`) |
| `label` | int64 | Meter class index |
| `label_name` | string | Meter type (romanized), e.g. `kandamu` |

Codebook: `label_taxonomy.json`.

### Labels

| id | label_name | gloss | count |
|---:|------------|-------|------:|
| 0 | `aataveladi` | Āṭaveladi / ఆటవెలది (戏舞体) | 995 |
| 1 | `kandamu` | Kandam / కందం (坎达体) | 683 |
| 2 | `teytageethi` | Tēṭagīti / తేటగీతి (澄歌体) | 676 |
| 3 | `seesamu` | Sīsamu / సీసము (席萨体) | 672 |
| 4 | `mattebhamu` | Mattebhamu / మత్తేభము (醉象律) | 617 |
| 5 | `champakamaala` | Champakamāla / చంపకమాల (瞻波迦鬘) | 389 |
| 6 | `vutpalamaala` | Utpalamāla / ఉత్పలమాల (优钵罗鬘) | 329 |
| 7 | `saardulamu` | Śārdūlamu / శార్దూలము (虎律) | 290 |

---

## Construction method

1. Load local `Chandassu_Dataset.csv` / upstream Chandassu.
2. Load `PoetryMTEB/Padyam2GadyamMeterClassification` train/test poems; force overlapping Chandassu rows into compatible splits (anti-leakage).
3. Stratified train/test split of remaining rows by `type` (seed=42).
4. Map `type` → contiguous `label` ids (frequency-descending).

---

## How to load

```python
from datasets import load_dataset

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

---

## License

Distributed under the **MIT License**, consistent with the upstream Chandassu release.

---

## Citation / provenance

```bibtex
@misc{pavan2025computationalsociallinguisticstelugu,
      title={Computational Social Linguistics for Telugu Cultural Preservation: Novel Algorithms for Chandassu Metrical Pattern Recognition}, 
      author={Boddu Sri Pavan and Boddu Swathi Sree},
      year={2025},
      eprint={2510.01233},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2510.01233}, 
}
```

- Kaggle: [https://www.kaggle.com/datasets/boddusripavan111/chandassu](https://www.kaggle.com/datasets/boddusripavan111/chandassu)
- Mendeley Data: [https://data.mendeley.com/datasets/46wrt7v53c/1](https://data.mendeley.com/datasets/46wrt7v53c/1) (DOI: [10.17632/46wrt7v53c.1](https://doi.org/10.17632/46wrt7v53c.1))
- Hugging Face: [https://huggingface.co/datasets/BodduSriPavan111/chandassu](https://huggingface.co/datasets/BodduSriPavan111/chandassu)
- Paper: [https://arxiv.org/abs/2510.01233](https://arxiv.org/abs/2510.01233)
- Related (anti-leakage partner): [PoetryMTEB/Padyam2GadyamMeterClassification](https://huggingface.co/datasets/PoetryMTEB/Padyam2GadyamMeterClassification)
- This Hub packaging: `PoetryMTEB/ChandassuMeterClassification`