Add SahittoCategoryClassification (11 Bangla poem categories; CC BY 4.0)

README.md

@@ -1,3 +1,169 @@
----
-license: cc-by-nc-4.0
----
+---
+license: cc-by-4.0
+task_categories:
+- text-classification
+task_ids:
+- multi-class-classification
+language:
+- bn
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+pretty_name: SahittoCategoryClassification
+tags:
+- poetry
+- bangla
+- bengali
+- genre-classification
+- theme-classification
+- text-classification
+- mteb
+- poetrymteb
+- embedding-evaluation
+annotations_creators:
+- expert-generated
+source_datasets:
+- bangla-poem-dataset-sahitto
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
+  default: true
+dataset_info:
+- config_name: default
+  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: 1763
+  - name: validation
+    num_examples: 222
+  - name: test
+    num_examples: 222
+---
+
+# SahittoCategoryClassification
+
+Single-label **Bangla poem category / genre classification** for PoetryMTEB embedding evaluation, derived from the **Bangla Poem Dataset (SAHITTO)**.
+
+## Dataset Card
+
+| Item | Description |
+|------|-------------|
+| **Source** | [Bangla Poem Dataset (Mendeley)](https://data.mendeley.com/datasets/zgmrk5m566/2), DOI [10.17632/zgmrk5m566.2](https://doi.org/10.17632/zgmrk5m566.2); poems collected from [banglarkobita.com](https://banglarkobita.com/) |
+| **Languages** | Bangla / Bengali (`bn`) |
+| **Size** | train=1763; validation=222; test=222 |
+| **Classes** | 11 poem categories (题材/主题) |
+| **Splits** | Stratified by category ≈ 80% / 10% / 10% (`train` / `validation` / `test`), seed=42 |
+| **License** | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) (same as upstream) |
+| **Evaluation metrics** | Classification on embeddings: **accuracy**, **macro/weighted F1** |
+
+---
+
+## Features
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `id` | string | Example id |
+| `title` | string | Poem title |
+| `author` | string | Writer name (Bangla) |
+| `poem` | string | Poem body |
+| `label` | int64 | Category index (0 … C−1) |
+| `label_name` | string | Category name in English (upstream `label`) |
+
+Codebook: `label_taxonomy.json`.
+
+### Categories
+
+| id | label_name | Bangla | count |
+|---:|------------|--------|------:|
+| 0 | Miscellaneous | বিবিধ কবিতা | 811 |
+| 1 | Love | প্রেমের কবিতা | 500 |
+| 2 | Metaphor | রূপক কবিতা | 316 |
+| 3 | Separation | বিরহের কবিতা | 131 |
+| 4 | Humanity | মানবতাবাদী কবিতা | 79 |
+| 5 | Children | ছোটদের ছড়া-কবিতা | 78 |
+| 6 | Patriotic | দেশাত্মবোধক কবিতা | 76 |
+| 7 | Policy | নীতি কবিতা | 67 |
+| 8 | Religious | ধর্মীয় কবিতা | 62 |
+| 9 | Nature | প্রকৃতির কবিতা | 55 |
+| 10 | War | যুদ্ধের কবিতা | 32 |
+
+---
+
+## Construction method
+
+1. Load `SAHITTO.ods` (sheet `Poems`: `title`, `poem`, `writer`, `label`).
+2. Keep all 11 category labels; map to contiguous `label` ids (frequency-descending).
+3. Stratified train / validation / test split by category.
+
+---
+
+## How to load
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("PoetryMTEB/SahittoCategoryClassification")
+print(ds["test"][0]["label_name"], ds["test"][0]["title"])
+```
+
+For embedding evaluation, encode `poem` (optionally prepend `title`), fit a classifier on `train`, optionally tune on `validation`, score on `test`.
+
+---
+
+## License
+
+Distributed under **Creative Commons Attribution 4.0 International (CC BY 4.0)**, consistent with the upstream Mendeley release.
+
+---
+
+## Citation / provenance
+
+Please cite the Bangla poem genre classification paper and the Mendeley dataset:
+
+```bibtex
+@INPROCEEDINGS{10174592,
+  author={Pasha, Syed Tangim and Islam, Ashraful and Rahman, Mohammed Masudur and Ahmed, Eshtiak and Ahmed Foysal, Md. Ferdouse and Zahangir Alam, Md},
+  booktitle={2023 IEEE World AI IoT Congress (AIIoT)}, 
+  title={Genre Classification of Bangla Poem Using Machine Learning and Deep Learning Techniques}, 
+  year={2023},
+  pages={0236-0242},
+  doi={10.1109/AIIoT58121.2023.10174592}
+}
+```
+
+Dataset citation:
+
+```bibtex
+@misc{pasha2022banglapoem,
+  author = {Pasha, Syed Tangim},
+  title = {Bangla Poem Dataset},
+  year = {2022},
+  publisher = {Mendeley Data},
+  version = {V2},
+  doi = {10.17632/zgmrk5m566.2},
+  url = {https://data.mendeley.com/datasets/zgmrk5m566/2}
+}
+```
+
+- Mendeley: [https://data.mendeley.com/datasets/zgmrk5m566/2](https://data.mendeley.com/datasets/zgmrk5m566/2)
+- Paper: [https://doi.org/10.1109/AIIoT58121.2023.10174592](https://doi.org/10.1109/AIIoT58121.2023.10174592)
+- This Hub packaging: `PoetryMTEB/SahittoCategoryClassification`

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7727488c48437342359e778c4a91dd045529741458e727a545d396efcc0efd4
+size 255571

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34f201daf603042be2c76aaaad33a2dac0184fcd147416bfa36c4989261adde8
+size 1869930

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:106c2454b53c62c2b5842db49fecc5ea8837713a437883d180fff54c422b174c
+size 230041

dataset_infos.yaml

@@ -0,0 +1,38 @@
+configs:
+- config_name: default
+  data_files:
+  - path: data/train-*.parquet
+    split: train
+  - path: data/validation-*.parquet
+    split: validation
+  - path: data/test-*.parquet
+    split: test
+  default: true
+dataset_info:
+  configs:
+  - config_name: default
+    dataset_size: 2355542
+    download_size: 2355542
+    features:
+    - dtype: string
+      name: id
+    - dtype: string
+      name: title
+    - dtype: string
+      name: author
+    - dtype: string
+      name: poem
+    - dtype: int64
+      name: label
+    - dtype: string
+      name: label_name
+    splits:
+    - name: train
+      num_bytes: 1869930
+      num_examples: 1763
+    - name: validation
+      num_bytes: 230041
+      num_examples: 222
+    - name: test
+      num_bytes: 255571
+      num_examples: 222

label_taxonomy.json

@@ -0,0 +1,88 @@
+{
+  "description": "Category codebook for SahittoCategoryClassification",
+  "source_ods": "d:\\知识图谱\\世界诗歌\\Datasets\\Bangla Poem Dataset\\Bangla Poem Dataset\\SAHITTO.ods",
+  "mendeley": "https://data.mendeley.com/datasets/zgmrk5m566/2",
+  "doi": "10.17632/zgmrk5m566.2",
+  "split": {
+    "method": "stratified-by-category",
+    "ratios": [
+      0.8,
+      0.1,
+      0.1
+    ],
+    "seed": 42,
+    "sizes": {
+      "train": 1763,
+      "validation": 222,
+      "test": 222
+    }
+  },
+  "labels": {
+    "names": [
+      "Miscellaneous",
+      "Love",
+      "Metaphor",
+      "Separation",
+      "Humanity",
+      "Children",
+      "Patriotic",
+      "Policy",
+      "Religious",
+      "Nature",
+      "War"
+    ],
+    "name2id": {
+      "Miscellaneous": 0,
+      "Love": 1,
+      "Metaphor": 2,
+      "Separation": 3,
+      "Humanity": 4,
+      "Children": 5,
+      "Patriotic": 6,
+      "Policy": 7,
+      "Religious": 8,
+      "Nature": 9,
+      "War": 10
+    },
+    "id2name": {
+      "0": "Miscellaneous",
+      "1": "Love",
+      "2": "Metaphor",
+      "3": "Separation",
+      "4": "Humanity",
+      "5": "Children",
+      "6": "Patriotic",
+      "7": "Policy",
+      "8": "Religious",
+      "9": "Nature",
+      "10": "War"
+    },
+    "counts": {
+      "Miscellaneous": 811,
+      "Love": 500,
+      "Metaphor": 316,
+      "Separation": 131,
+      "Humanity": 79,
+      "Children": 78,
+      "Patriotic": 76,
+      "Policy": 67,
+      "Religious": 62,
+      "Nature": 55,
+      "War": 32
+    },
+    "bangla_names": {
+      "Miscellaneous": "বিবিধ কবিতা",
+      "Love": "প্রেমের কবিতা",
+      "Metaphor": "রূপক কবিতা",
+      "Separation": "বিরহের কবিতা",
+      "Humanity": "মানবতাবাদী কবিতা",
+      "Children": "ছোটদের ছড়া-কবিতা",
+      "Patriotic": "দেশাত্মবোধক কবিতা",
+      "Policy": "নীতি কবিতা",
+      "Religious": "ধর্মীয় কবিতা",
+      "Nature": "প্রকৃতির কবিতা",
+      "War": "যুদ্ধের কবিতা"
+    },
+    "n_classes": 11
+  }
+}