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diff --git a/README.md b/README.md
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+---
+license: apache-2.0
+mutilinguality:
+- multilingual
+task-categories:
+- text-retrieval
+viewer: true
+dataset_info:
+- config_name: afr
+  features:
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+  - name: validation
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+  dataset_size: 5053945004
+- config_name: amh
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+  - name: headline
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+  - name: content
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+  - name: url
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+  - name: validation
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+  dataset_size: 1239520711
+- config_name: arz
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+  - name: headline
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+  - name: content
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+  - name: validation
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+- config_name: eng
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+- config_name: hau
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+- config_name: kin
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+- config_name: mlg
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+- config_name: nya
+  features:
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+  - name: content
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+- config_name: orm
+  features:
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+  - name: headline
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+  - name: content
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+  - name: category
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+- config_name: por
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+- config_name: som
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+- config_name: sot
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+  - name: headline
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+  - name: content
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+  - name: category
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+  - name: validation
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+    num_examples: 4262
+  download_size: 224556522
+  dataset_size: 221710964
+- config_name: swa
+  features:
+  - name: id
+    dtype: string
+  - name: headline
+    dtype: string
+  - name: content
+    dtype: string
+  - name: category
+    dtype: string
+  - name: url
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+  splits:
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+  - name: validation
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+    num_examples: 115139
+  download_size: 3804265021
+  dataset_size: 3744915050
+- config_name: tir
+  features:
+  - name: id
+    dtype: string
+  - name: headline
+    dtype: string
+  - name: content
+    dtype: string
+  - name: category
+    dtype: string
+  - name: url
+    dtype: string
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+  - name: validation
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+    num_examples: 915
+  download_size: 35955368
+  dataset_size: 35616146
+- config_name: xho
+  features:
+  - name: id
+    dtype: string
+  - name: headline
+    dtype: string
+  - name: content
+    dtype: string
+  - name: category
+    dtype: string
+  - name: url
+    dtype: string
+  splits:
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+    num_examples: 23892
+  - name: validation
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+    num_examples: 2654
+  download_size: 129410950
+  dataset_size: 127501439
+- config_name: yor
+  features:
+  - name: id
+    dtype: string
+  - name: headline
+    dtype: string
+  - name: content
+    dtype: string
+  - name: category
+    dtype: string
+  - name: url
+    dtype: string
+  splits:
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+    num_examples: 73473
+  - name: validation
+    num_bytes: 21123764
+    num_examples: 8163
+  download_size: 217343993
+  dataset_size: 213597457
+- config_name: zul
+  features:
+  - name: id
+    dtype: string
+  - name: headline
+    dtype: string
+  - name: content
+    dtype: string
+  - name: category
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+  - name: url
+    dtype: string
+  splits:
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+  - name: validation
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+    num_examples: 7271
+  download_size: 314070508
+  dataset_size: 309731892
+---
+
+# Dataset Summary
+
+...
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diff --git a/wura.py b/wura.py
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index 0000000000000000000000000000000000000000..ef4ccde47d82712edab59a5609a5d77c028f7c84
--- /dev/null
+++ b/wura.py
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+import json
+from dataclasses import dataclass
+from string import Template
+
+import datasets
+from datasets.download.download_manager import DownloadManager
+
+_CITATION = ""
+_DESCRIPTION = \
+    """
+    Wura is large-scale pretraining data for 20 languages popularly spoken in Africa.
+    """
+_HOMEPAGE = "https://github.com/castorini/AfriTeVa-keji"
+_LICENSE = "Apache License 2.0"
+_DOCUMENT_DATASET_VERSION = "1.0.0"
+_PASSAGE_DATASET_VERSION = "1.0.0"
+_LANGUAGES = {
+    "Afrikaans": "afr",
+    "Amharic": "amh",
+    "Egyptian Arabic": "arz",
+    "English": "eng",
+    "French": "fra",
+    "Hausa": "hau",
+    "Igbo": "ibo",
+    "Gahuza": "kin",
+    "Malagasy": "mlg",
+    "Chichewa": "nya",
+    "Afaan Oromoo": "orm",
+    # "Nigerian Pidgin": "pcm",
+    "Portuguese": "por",
+    "Shona": "sna",
+    "Somali": "som",
+    "Sesotho": "sot",
+    "Swahili": "swa",
+    "Tigrinya": "tir",
+    "Xhosa": "xho",
+    "Yoruba": "yor",
+    "Zulu": "zul"
+}
+_DOCUMENT_DATASET_URL = Template("./documents-v1.0/${split}/${language}.jsonl")
+_PASSAGE_DATASET_URL = Template("./passages-v1.0/${split}/${language}.txt")
+
+INVALID_WINDOWS_CHARACTERS_IN_PATH = r"<>:/\|?*"
+
+
+@dataclass
+class WuraConfig(datasets.BuilderConfig):
+    level: str = "document"
+
+
+class WuraDataset(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        WuraConfig(
+            name=language,
+            version=datasets.Version(_DOCUMENT_DATASET_VERSION),
+            description=f"Wura dataset for language: {language}\n{_DESCRIPTION}",
+        ) for language in _LANGUAGES.values()
+    ]
+
+    DEFAULT_CONFIG_NAME = "afr"
+    
+    def _info(self):
+        if self.config.level == "document":
+            features = ["id", "headline", "content", "category", "url"]
+        elif self.config.level == "passage":
+            features = ["id", "text"]
+        else:
+            raise ValueError("level can only be one of `document` or `passage`")
+        
+        features = {feature: datasets.Value("string") for feature in features}
+
+        return datasets.DatasetInfo(
+            description=self.config.description,
+            features=datasets.Features(features),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+            license=_LICENSE
+        )
+    
+    def _split_generators(self, dl_manager: DownloadManager):
+        if self.config.level == "document":
+            data_files = {
+                split: _DOCUMENT_DATASET_URL.substitute(
+                    split=split,
+                    language=self.config.name,
+                ) for split in ["train", "eval"]
+            }
+        elif self.config.level == "passage":
+            data_files = {
+                split: _PASSAGE_DATASET_URL.substitute(
+                    split=split,
+                    language=self.config.name,
+                ) for split in ["train", "eval"]
+            }
+        else:
+            raise ValueError("level can only be one of `document` or `passage`")
+        
+        language_files = dl_manager.download_and_extract(data_files)
+        
+        splits = [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": language_files["train"]}
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"filepath": language_files["eval"]}
+            )
+        ]
+        return splits
+    
+    def _generate_examples(self, filepath: str):
+        with open(filepath, encoding="utf-8") as f:
+            for idx, line in enumerate(f):
+                if self.config.level == "document":
+                    data = json.loads(line)
+                    data["id"] = idx
+                else:
+                    data = {"id": idx, "text": line.strip()}
+
+                yield idx, data