add data

.gitattributes

@@ -53,3 +53,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+data/*.txt filter=lfs diff=lfs merge=lfs -text

cc100-samples.py

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+
+import datasets
+
+_DESCRIPTION = """\
+This corpus is subset of cc100, contains the first 10,000 lines of each file. 
+"""
+_VERSION = "1.0.0"
+
+# Please note: due to the size of the data, only few examples are provided.
+# However, you can pass the lang parameter in config to fetch data of any language in the corpus
+_LANGUAGES = [
+    "am", "ar", "as", "az", "be", "bg", "bn", "bn_rom", "br", "bs", "ca", "cs", "cy", "da", "de",
+    "el", "en", "eo", "es", "et", "eu", "fa", "ff", "fi", "fr", "fy", "ga", "gd", "gl", "gn", "gu",
+    "ha", "he", "hi", "hi_rom", "hr", "ht", "hu", "hy", "id", "ig", "is", "it", "ja", "jv", "ka",
+    "kk", "km", "kn", "ko", "ku", "ky", "la", "lg", "li", "ln", "lo", "lt", "lv", "mg", "mk", "ml",
+    "mn", "mr", "ms", "my", "my_zaw", "ne", "nl", "no", "ns", "om", "or", "pa", "pl", "ps", "pt",
+    "qu", "rm", "ro", "ru", "sa", "si", "sc", "sd", "sk", "sl", "so", "sq", "sr", "ss", "su", "sv",
+    "sw", "ta", "ta_rom", "te", "te_rom", "th", "tl", "tn", "tr", "ug", "uk", "ur", "ur_rom", "uz",
+    "vi", "wo", "xh", "yi", "yo", "zh-Hans", "zh-Hant", "zu",
+]
+
+
+class Cc100Config(datasets.BuilderConfig):
+    def __init__(self, *args, lang=None, **kwargs):
+        super().__init__(
+            *args,
+            name=f"{lang}",
+            **kwargs,
+        )
+        self.lang = lang
+
+
+class Cc100(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        Cc100Config(
+            lang=lang,
+            description=f"Language: {lang}",
+            version=datasets.Version(_VERSION),
+        )
+        for lang in _LANGUAGES
+    ]
+    BUILDER_CONFIG_CLASS = Cc100Config
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "text": datasets.Value("string"),
+                },
+            ),
+            supervised_keys=None,
+        )
+
+    def _split_generators(self, dl_manager):
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"datapath": f"data/{self.config.lang}.txt"},
+            )
+        ]
+
+    def _generate_examples(self, datapath):
+        with open(datapath, encoding="utf-8") as f:
+            for sentence_counter, row in enumerate(f):
+                result = (
+                    sentence_counter,
+                    {
+                        "id": str(sentence_counter),
+                        "text": row,
+                    },
+                )
+                yield result

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