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README.md

@@ -1,3 +1,37 @@
 ---
-license: cc-by-4.0
+language:
+- en
+tags:
+- medieval
+- latin
+- text-classification
+pretty_name: Abalone
+size_categories:
+- 100<n<1K
+task_categories:  # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
+- text-classification
 ---
+# Abalone
+The [Medieval Latin](https://openportal.isti.cnr.it/doc?id=people______::37b90c87470ef85c78e72b8a3c753293) authorship attribution dataset.
+Which Victorian author wrote the given text?
+
+Note: Only epistolas are included in this version of the dataset.
+
+# Configurations and tasks
+| **Configuration** | **Task**                  | Description                                                   |
+|-------------------|---------------------------|---------------------------------------------------------------|
+| authorship        | Classification                | Which Latin author wrote the given text?|
+
+# Usage
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("mstz/medieval_latin", "authorship")["train"]
+```
+
+# Features
+|**Feature**        |**Type**       |
+|-------------------|---------------|
+| content               | `[string]`    |
+| epistola               | `[string]`    |
+| author               | `[string]`    |

medieval_latin.py

@@ -0,0 +1,82 @@
+"""Medieval Latin."""
+
+from typing import List
+from functools import partial
+
+import datasets
+
+import pandas
+
+
+VERSION = datasets.Version("1.0.0")
+_ORIGINAL_FEATURE_NAMES = [
+    "epistola",
+    "author",
+    "content"
+]
+_BASE_FEATURE_NAMES = [
+    "epistola",
+    "author",
+    "content"
+]
+
+DESCRIPTION = "MedievalLatin dataset from the Gungor thesis.\"."
+_HOMEPAGE = "https://openportal.isti.cnr.it/doc?id=people______::37b90c87470ef85c78e72b8a3c753293"
+_URLS = ("https://openportal.isti.cnr.it/doc?id=people______::37b90c87470ef85c78e72b8a3c753293")
+_CITATION = """
+@techreport{oai:it.cnr:prodotti:438795,
+	title = {MedLatin1 and MedLatin2: Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts},
+	author = {Corbara S. and Moreo A. and Sebastiani F. and Tavoni M.},
+	institution = {Research report, 2020},
+	year = {2020}
+}"""
+
+# Dataset info
+urls_per_split = {
+    "train": "https://huggingface.co/datasets/mstz/medieval_latin/raw/main/epistolas.json",
+}
+features_types_per_config = {
+    "authorship": {
+        "epistola": datasets.Value("string"),
+        "author": datasets.Value("string"),
+        "content": datasets.Value("string")
+    }
+}
+features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
+
+
+class MedievalLatinConfig(datasets.BuilderConfig):
+    def __init__(self, **kwargs):
+        super(MedievalLatinConfig, self).__init__(version=VERSION, **kwargs)
+        self.features = features_per_config[kwargs["name"]]
+
+
+class MedievalLatin(datasets.GeneratorBasedBuilder):
+    # dataset versions
+    DEFAULT_CONFIG = "authorship"
+    BUILDER_CONFIGS = [
+        MedievalLatinConfig(name="authorship",
+                        description="authorship"),
+    ]
+
+
+    def _info(self):
+        info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE,
+                                    features=features_per_config[self.config.name])
+
+        return info
+    
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        downloads = dl_manager.download_and_extract(urls_per_split)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads["train"]})
+        ]
+    
+    def _generate_examples(self, filepath: str):       
+        data = pandas.read_json(filepath)
+
+        for row_id, row in data.iterrows():
+            data_row = dict(row)
+
+            yield row_id, data_row