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Add split statistics and per-category counts by train/val/test

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  1. README.md +32 -20
README.md CHANGED
@@ -69,7 +69,7 @@ Single-label **Bangla poem category / genre classification** for PoetryMTEB embe
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  |------|-------------|
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  | **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/) |
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  | **Languages** | Bangla / Bengali (`bn`) |
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- | **Size** | train=1763; validation=222; test=222 |
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  | **Classes** | 11 poem categories (题材/主题) |
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  | **Splits** | Stratified by category ≈ 80% / 10% / 10% (`train` / `validation` / `test`), seed=42 |
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  | **License** | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) (same as upstream) |
@@ -77,6 +77,36 @@ Single-label **Bangla poem category / genre classification** for PoetryMTEB embe
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  ---
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  ## Features
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  | Field | Type | Description |
@@ -88,31 +118,13 @@ Single-label **Bangla poem category / genre classification** for PoetryMTEB embe
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  | `label` | int64 | Category index (0 … C−1) |
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  | `label_name` | string | Category name in English (upstream `label`) |
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- Codebook: `label_taxonomy.json`.
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-
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- ### Categories
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-
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- | id | label_name | Bangla | count |
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- |---:|------------|--------|------:|
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- | 0 | Miscellaneous | বিবিধ কবিতা | 811 |
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- | 1 | Love | প্রেমের কবিতা | 500 |
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- | 2 | Metaphor | রূপক কবিতা | 316 |
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- | 3 | Separation | বিরহের কবিতা | 131 |
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- | 4 | Humanity | মানবতাবাদী কবিতা | 79 |
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- | 5 | Children | ছোটদের ছড়া-কবিতা | 78 |
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- | 6 | Patriotic | দেশাত্মবোধক কবিতা | 76 |
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- | 7 | Policy | নীতি কবিতা | 67 |
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- | 8 | Religious | ধর্মীয় কবিতা | 62 |
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- | 9 | Nature | প্রকৃতির কবিতা | 55 |
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- | 10 | War | যুদ্ধের কবিতা | 32 |
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-
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  ---
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  ## Construction method
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  1. Load `SAHITTO.ods` (sheet `Poems`: `title`, `poem`, `writer`, `label`).
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  2. Keep all 11 category labels; map to contiguous `label` ids (frequency-descending).
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- 3. Stratified train / validation / test split by category.
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  ---
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  |------|-------------|
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  | **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/) |
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  | **Languages** | Bangla / Bengali (`bn`) |
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+ | **Size** | **2207** poems total; train=1763 (79.9%); validation=222 (10.1%); test=222 (10.1%) |
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  | **Classes** | 11 poem categories (题材/主题) |
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  | **Splits** | Stratified by category ≈ 80% / 10% / 10% (`train` / `validation` / `test`), seed=42 |
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  | **License** | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) (same as upstream) |
 
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  ---
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+ ## Split statistics
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+
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+ | Split | #poems | ratio |
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+ |-------|-------:|------:|
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+ | train | 1763 | 79.88% |
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+ | validation | 222 | 10.06% |
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+ | test | 222 | 10.06% |
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+ | **total** | **2207** | 100% |
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+
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+ ### Per-category counts by split
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+ | id | label_name | Bangla | train | validation | test | total |
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+ |---:|------------|--------|------:|-----------:|-----:|------:|
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+ | 0 | Miscellaneous | বিবিধ কবিতা | 649 | 81 | 81 | 811 |
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+ | 1 | Love | প্রেমের কবিতা | 400 | 50 | 50 | 500 |
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+ | 2 | Metaphor | রূপক কবিতা | 252 | 32 | 32 | 316 |
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+ | 3 | Separation | বিরহের কবিতা | 105 | 13 | 13 | 131 |
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+ | 4 | Humanity | মানবতাবাদী কবিতা | 63 | 8 | 8 | 79 |
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+ | 5 | Children | ছোটদের ছড়া-কবিতা | 62 | 8 | 8 | 78 |
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+ | 6 | Patriotic | দেশাত্মবোধক কবিতা | 60 | 8 | 8 | 76 |
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+ | 7 | Policy | নীতি কবিতা | 53 | 7 | 7 | 67 |
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+ | 8 | Religious | ধর্মীয় কবিতা | 50 | 6 | 6 | 62 |
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+ | 9 | Nature | প্রকৃতির কবিতা | 43 | 6 | 6 | 55 |
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+ | 10 | War | যুদ্ধের কবিতা | 26 | 3 | 3 | 32 |
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+ | | **Sum** | | **1763** | **222** | **222** | **2207** |
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+
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+ Codebook: `label_taxonomy.json`.
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+
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+ ---
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+
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  ## Features
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  | Field | Type | Description |
 
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  | `label` | int64 | Category index (0 … C−1) |
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  | `label_name` | string | Category name in English (upstream `label`) |
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  ---
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  ## Construction method
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  1. Load `SAHITTO.ods` (sheet `Poems`: `title`, `poem`, `writer`, `label`).
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  2. Keep all 11 category labels; map to contiguous `label` ids (frequency-descending).
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+ 3. Stratified train / validation / test split by category (each class appears in all three splits).
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  ---
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