First commit.

Added readme and script with generated urls

README.md

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+# Dataset Summary
+We present *rosetta-balcanica* a manually extracted multilingual machine translation dataset for low resource 
+western Balkan languages. The documents were sourced from Organization for Security and Co-operation in Europe (OSCE)
+website  by applying appropriate language filters. Filtered list of documents can be found [here](https://www.osce.org/resources/documents?filters=%20sm_translations%3A%28sq%29&solrsort=score%20desc&rows=10).
+
+# Languages Supported
+Currently, our dataset has documents sourced from [Macedonian](https://github.com/ebegoli/rosetta-balcanica) and [Albanian](https://en.wikipedia.org/wiki/Albanian_language)(also known as Shqip).

rosetta_balcanica.py

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+#!/usr/bin/env python
+
+from pyexpat import features
+import datasets
+
+supported_wb = ['ma', 'sh']
+
+_DESCRIPTION="""
+Evaluation datasets for low resource western Balkan languages. Currently, we include translatino
+datasets for Macedonian and Albanian (also known as Shqip).
+"""
+
+_CITATION="""
+TBA
+"""
+
+_VERSION='1.0.0'
+
+# Construct the URLs from Github. The URLs are a nested dictionary of the format:
+# [language_pair][language][split]
+_URL_PREFIX='https://raw.githubusercontent.com/ebegoli/rosetta-balcanica/main/dataset/huggingface_hub'
+_URLS = {}
+for lang in supported_wb:  
+  lang_pair = f'en-{lang}'
+  _URLS[lang_pair] = {
+      'en': {
+        'train': f'{_URL_PREFIX}/{lang_pair}/train_en.txt',
+        'test': f'{_URL_PREFIX}/{lang_pair}/test_en.txt',
+      },
+      f'{lang}': {
+        'train': f'{_URL_PREFIX}/{lang_pair}/train_{lang}.txt',
+        'test': f'{_URL_PREFIX}/{lang_pair}/test_{lang}.txt',
+      }
+  }
+
+class RosettaBalcanicaConfig(datasets.BuilderConfig):
+  """BuilderConfig for RosettaBalcanica
+  """
+  def __init__(self, wb_lang=None, **kwargs):
+    super(RosettaBalcanicaConfig, self).__init__(
+      name=f'{wb_lang}en',
+      description=f'Translation dataset between en and {wb_lang}',
+      version=datasets.Version(_VERSION, ""),
+      **kwargs
+    )
+    
+    assert wb_lang in supported_wb, (f"Invalid west Balkan language: {wb_lang}. Supported languages are {supported_wb}.")
+    self.wb_lang = wb_lang  
+
+
+class RosettaBalcanica(datasets.GeneratorBasedBuilder):
+  """Rosetta Balcanica low resource western Balkan languates machine translation dataset.
+  """
+
+  BUILDER_CONFIGS = [
+    RosettaBalcanicaConfig(
+      wb_lang=wb_lang,
+    )
+    for wb_lang in supported_wb
+  ]
+
+  def _info(self):
+    return datasets.DatasetInfo(
+      description=_DESCRIPTION,
+      features=datasets.Features(
+        {
+          'id': datasets.Value('string'),
+          'translation': datasets.Translation(languages=('en', self.config.wb_lang)),
+        },
+      ),
+      supervised_keys=('en', self.config.wb_lang),
+      citation=_CITATION,
+    )
+
+  def _split_generators(self, dl_manager):
+      data_dir = f'rosetta_balcanica/en-{self.config.wb_lang}'
+      files = {}
+      for split in ('train', 'test'):
+        files[split] = {
+          'en': f'{data_dir}/{split}_en',
+          self.config.wb_lang: f'{data_dir}/{split}_{self.config.wb_lang}',
+        }
+
+      return [
+        datasets.SplitGenerator(name=datasets.Split.TRAIN, gdefault_lang_kwargs=files['train']),
+        datasets.SplitGenerator(name=datasets.Split.TEST, gdefault_lang_kwargs=files['test']),        
+      ]
+
+  def _generate_examples(self, en_path, wb_path):
+      with open(en_path, encoding='utf-8') as f1, open(wb_path, encoding='utf-8') as f2:
+        for sent_counter, (en_sent, wb_sent) in enumerate(zip(f1, f2)):
+          en_sent = en_sent.strip()
+          wb_sent = wb_sent.strip()
+          result = (
+            sent_counter,
+            {
+              'id': str(sent_counter),
+              'translation': {'en': en_sent, f'{self.config.wb_lang}': wb_sent},
+            },
+          )
+          yield result
+
+
+
+    
+