Add English Poetry Topic Clustering Benchmark - English Poetry Topic Clustering Dataset

README.md

@@ -1,3 +1,92 @@
 ---
-license: cc-by-4.0
+configs:
+- config_name: default
+  data_files:
+  - path: train-00000-of-00001.parquet
+    split: train
+  - path: val-00000-of-00001.parquet
+    split: val
+  - path: test-00000-of-00001.parquet
+    split: test
+dataset_info:
+  config_name: default
+  dataset_size: 10208409
+  download_size: 10208409
+  features:
+  - dtype: string
+    name: id
+  - dtype: string
+    name: author
+  - dtype: string
+    name: title
+  - dtype: string
+    name: topic
+  - dtype: string
+    name: text
+  - dtype: string
+    name: topic_code
+  splits:
+  - name: train
+    num_bytes: 6060818
+    num_examples: 8574
+  - name: val
+    num_bytes: 2150537
+    num_examples: 2825
+  - name: test
+    num_bytes: 1997054
+    num_examples: 2935
 ---
+
+# English Poetry Topic Clustering Benchmark
+
+## Dataset Description
+
+English poetry topic clustering benchmark for evaluating embedding models' performance on unsupervised poetry topic clustering tasks. Each record contains a poem and its topic clustering label.
+
+This dataset is derived from [AJMC2002/poems](https://huggingface.co/datasets/AJMC2002/poems) and split into train/validation/test sets with a 6:2:2 ratio while maintaining topic distribution.
+
+## Dataset Statistics
+
+| Metric | Value |
+|--------|-------|
+| **Total Poems** | 14,334 poems |
+| **Train Set** | 8,574 poems |
+| **Validation Set** | 2,825 poems |
+| **Test Set** | 2,935 poems |
+| **Total File Size** | 9.7 MB |
+
+## Data Fields
+
+- `id`: Unique poem identifier
+- `author`: Poem author
+- `title`: Poem title
+- `text`: Poem body/content
+- `topic`: Original topic label
+- `topic_code`: Topic clustering label (used for clustering evaluation)
+
+## Dataset Splits
+
+The dataset is split into three sets:
+- **train**: Training set (60% of data)
+- **val**: Validation set (20% of data)  
+- **test**: Test set (20% of data)
+
+The split maintains topic distribution across all sets.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("PoetryMTEB/EnglishPoetryTopicClustering")
+
+# Access different splits
+train_data = dataset['train']
+val_data = dataset['val']
+test_data = dataset['test']
+```
+
+## Citation
+
+If you use this dataset, please cite the original source:
+- Original dataset: AJMC2002/poems

dataset_infos.json

@@ -0,0 +1,57 @@
+{
+  "default": {
+    "description": "English Poetry Topic Clustering Benchmark - default config",
+    "citation": "",
+    "homepage": "",
+    "license": "apache-2.0",
+    "features": {
+      "id": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "author": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "title": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "topic": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "text": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "topic_code": {
+        "dtype": "string",
+        "_type": "Value"
+      }
+    },
+    "splits": {
+      "train": {
+        "name": "train",
+        "num_bytes": 6060818,
+        "num_examples": 8574,
+        "dataset_name": "EnglishPoetryTopicClustering"
+      },
+      "val": {
+        "name": "val",
+        "num_bytes": 2150537,
+        "num_examples": 2825,
+        "dataset_name": "EnglishPoetryTopicClustering"
+      },
+      "test": {
+        "name": "test",
+        "num_bytes": 1997054,
+        "num_examples": 2935,
+        "dataset_name": "EnglishPoetryTopicClustering"
+      }
+    },
+    "download_size": 10208409,
+    "dataset_size": 10208409,
+    "size_in_bytes": 10208409
+  }
+}

test-00000-of-00001.parquet

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val-00000-of-00001.parquet

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