init files

.gitattributes

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-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
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-*.rar filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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 *.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-# Audio files - uncompressed
-*.pcm filter=lfs diff=lfs merge=lfs -text
-*.sam filter=lfs diff=lfs merge=lfs -text
-*.raw filter=lfs diff=lfs merge=lfs -text
-# Audio files - compressed
-*.aac filter=lfs diff=lfs merge=lfs -text
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-*.mp3 filter=lfs diff=lfs merge=lfs -text
-*.ogg filter=lfs diff=lfs merge=lfs -text
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-# Image files - uncompressed
-*.bmp filter=lfs diff=lfs merge=lfs -text
-*.gif filter=lfs diff=lfs merge=lfs -text
-*.png filter=lfs diff=lfs merge=lfs -text
-*.tiff filter=lfs diff=lfs merge=lfs -text
-# Image files - compressed
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-*.webp filter=lfs diff=lfs merge=lfs -text

KoPI-NLLB.py

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+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Cleaned Indonesian split of the KoPI corpus."""
+import json
+import glob
+import gzip
+import textwrap
+import datasets
+import zstandard as zstd
+logger = datasets.logging.get_logger(__name__)
+
+_CITATION = """
+"""
+_DESCRIPTION = """\
+"""
+_HOMEPAGE = "https://huggingface.co/datasets/munggok/KoPI"
+_LICENSE = "CC0"
+_BASE_URL = {
+    "train":"https://huggingface.co/datasets/munggok/KoPI/resolve/main/raw/kopi-{index:012d}.json.zst",
+    "val":"https://huggingface.co/datasets/munggok/KoPI/resolve/main/raw/kopi-val-{index:012d}.json.zst"
+
+}
+_CONFIGS = {
+    "tiny": {"train": 10, "validation": 1},
+    "small": {"train": 30, "validation": 2},
+    "medium": {"train": 55, "validation": 2},
+    "large": {"train": 75, "validation": 3},
+    "full": {"train": 107, "validation": 4}
+}
+class KoPIConfig(datasets.BuilderConfig):
+    """BuilderConfig for the Clean KoPI corpus."""
+    def __init__(self, **kwargs):
+        """BuilderConfig for Clean KoPI corpus.
+        Args:
+            **kwargs: keyword arguments forwarded to super.
+        """
+        super().__init__(**kwargs)
+class KoPI(datasets.GeneratorBasedBuilder):
+    """KoPI corpus."""
+    BUILDER_CONFIGS = [
+        KoPIConfig(
+            name="tiny",
+            version=datasets.Version("1.0.0"),
+            description=textwrap.dedent(
+                f"""\
+                Tiny version only using 10 shard 
+                """
+            )
+        ),
+        KoPIConfig(
+            name="small",
+            version=datasets.Version("1.0.0"),
+            description=textwrap.dedent(
+                f"""\
+                small version only using 30 shard 
+                """
+            )
+        ),
+        KoPIConfig(
+            name="medium",
+            version=datasets.Version("1.0.0"),
+            description=textwrap.dedent(
+                f"""\
+                medion version only using 50 shard 
+                """
+            )
+        ),
+        KoPIConfig(
+            name="large",
+            version=datasets.Version("1.0.0"),
+            description=textwrap.dedent(
+                f"""\
+                large version only using 75 shard 
+                """
+            )
+        ),
+        KoPIConfig(
+            name="full",
+            version=datasets.Version("1.0.0"),
+            description=textwrap.dedent(
+                f"""\
+                The full cleaned version of KoPI corpus.
+                Estimated size of compressed files: 53GB
+                """
+            )
+        )
+    ]
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "url": datasets.Value("string"),
+                    "timestamp": datasets.Value("string"),
+                    "meta": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+    def _split_generators(self, dl_manager):
+        train = [_BASE_URL["train"].format(index=k + 1) for k in range(107)][0:_CONFIGS[self.config.name]['train']]
+        validation =  [_BASE_URL["val"].format(index=k + 108) for k in range(4)][0:_CONFIGS[self.config.name]['validation']]
+        train_downloaded_files = dl_manager.download(train)
+        validation_downloaded_files = dl_manager.download(validation)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": train_downloaded_files}),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION, gen_kwargs={"filepaths": validation_downloaded_files}
+            ),
+        ]
+    def _generate_examples(self, filepaths):
+        """This function returns the examples in the raw (text) form by iterating on all the files."""
+        id_ = 0
+        for filepath in filepaths:
+            logger.info(f"Generating examples from {filepath}")
+            with zstd.open(open(filepath, "rb"), "rt", encoding="utf-8") as f:
+                for line in f:
+                    if line:
+                        example = json.loads(line)
+                        if example.get('meta') is not None:
+                            yield id_, {'text':example['text'],'url':example['url'],'timestamp':example['timestamp'],'meta': example['meta']}
+                            id_ += 1
+                        else:
+                            yield id_, {'text':example['text'],'url':example['url'],'timestamp':example['timestamp'],'meta': "None"}
+                            id_ += 1

README.md

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----
-license: odc-by
----

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