Upload kopi_cc_news.py with huggingface_hub

kopi_cc_news.py

@@ -0,0 +1,139 @@
+# coding=utf-8
+# Copyright 2022 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.
+
+"""
+KoPI-CC_NEWS corpus
+
+[nusantara_schema_name] = ssp
+"""
+
+import json
+from typing import List
+
+import datasets
+import zstandard as zstd
+
+from nusacrowd.utils import schemas
+from nusacrowd.utils.configs import NusantaraConfig
+from nusacrowd.utils.constants import (DEFAULT_NUSANTARA_VIEW_NAME,
+                                       DEFAULT_SOURCE_VIEW_NAME, Tasks)
+
+_DATASETNAME = "kopi_cc_news"
+_LOCAL = False
+_LANGUAGES = ["ind"]  # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
+_SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
+_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
+_SUPPORTED_TASKS = [Tasks.SELF_SUPERVISED_PRETRAINING]
+_URL = "https://commoncrawl.org/"
+_CITATION = """\
+
+"""
+
+_DESCRIPTION = """\
+    KoPI(Korpus Perayapan Indonesia)-CC_News is Indonesian Only Extract from CC NEWS Common Crawl from 2016-2022(july) ,each snapshots get extracted using warcio,trafilatura and filter using fasttext
+"""
+
+_HOMEPAGE = "https://huggingface.co/datasets/munggok/KoPI-CC_News"
+
+_LICENSE = "CC0"
+
+_URLS = "https://huggingface.co/datasets/munggok/KoPI-CC_News/resolve/main/data/cc_news_{year}_id.jsonl.zst"
+
+_YEAR = ["2016", "2017", "2018", "2019", "2020", "2021", "2022"]
+
+_ALL_CONFIG = _YEAR + ["all"]
+
+_SOURCE_VERSION = "2018.12.01"
+
+_NUSANTARA_VERSION = "1.0.0"
+
+
+def nusantara_config_constructor(year, schema, version):
+    """Construct NusantaraConfig"""
+    if schema != "source" and schema != "nusantara_ssp":
+        raise ValueError(f"Invalid schema: {schema}")
+
+    if year == "":
+        raise ValueError(f"Snapshot is required. Choose one of these Snapshot: {_ALL_CONFIG}.")
+    elif year in _ALL_CONFIG:
+        return NusantaraConfig(
+            name=f"{_DATASETNAME}_{year}_{schema}",
+            version=datasets.Version(version),
+            description=f"KoPI-CC_News with {schema} schema for {year}",
+            schema=schema,
+            subset_id="kopi_cc_news",
+        )
+    else:
+        raise ValueError(f"Invalid language: {year}. Choose one of these snapshots: {_ALL_CONFIG}.")
+
+
+class KoPICCNEWS(datasets.GeneratorBasedBuilder):
+
+    DEFAULT_CONFIG_NAME = "2016"
+
+    BUILDER_CONFIGS = [nusantara_config_constructor(sn, "source", _SOURCE_VERSION) for sn in _ALL_CONFIG] + [nusantara_config_constructor(sn, "nusantara_ssp", _NUSANTARA_VERSION) for sn in _ALL_CONFIG]
+
+    def _info(self):
+        if self.config.schema == "source":
+            features = datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "timestamp": datasets.Value("string"),
+                    "url": datasets.Value("string"),
+                    "meta": datasets.Value("string"),
+                }
+            )
+        elif self.config.schema == "nusantara_ssp":
+            features = schemas.self_supervised_pretraining.features
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager) -> List[datasets.SplitGenerator]:
+        """Returns SplitGenerators."""
+        name = self.config.name.replace("_" + self.config.schema, "")
+        name = name.replace(_DATASETNAME + "_", "")
+        if name == "all":
+            urls = [_URLS.format(year=m) for m in _YEAR]
+        else:
+            urls = [_URLS.format(year=name)]
+        path = dl_manager.download(urls)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepaths": path, "split": "train"},
+            ),
+        ]
+
+    def _generate_examples(self, filepaths, split):
+        """This function returns the examples in the raw (text) form by iterating on all the files."""
+        id_ = 0
+        for filepath in filepaths:
+            with zstd.open(open(filepath, "rb"), "rt", encoding="utf-8") as f:
+                for line in f:
+                    if line:
+                        example = json.loads(line)
+                        if self.config.schema == "nusantara_ssp":
+                            yield id_, {"id": str(id_), "text": example["text"]}
+                            id_ += 1
+                        else:
+                            yield id_, {"text": example["text"], "url": example["url"], "timestamp": example["timestamp"], "meta": example["meta"]}
+                            id_ += 1