add 2021_43

2021_39/raw/2021_39_raw.py

@@ -0,0 +1,118 @@
+# 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 mC4 corpus."""
+import json
+import glob
+import gzip
+import textwrap
+import datasets
+import zstandard as zstd
+logger = datasets.logging.get_logger(__name__)
+
+file = sorted(glob.glob('/data/KoPI-CC/2021_39/raw/*.zst'))
+_CITATION = """
+@article{JMLR:v21:20-074,
+  author  = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
+  title   = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
+  journal = {Journal of Machine Learning Research},
+  year    = {2020},
+  volume  = {21},
+  number  = {140},
+  pages   = {1-67},
+  url     = {http://jmlr.org/papers/v21/20-074.html}
+}
+"""
+_DESCRIPTION = """\
+A thoroughly cleaned version of the Italian portion of the multilingual 
+colossal, cleaned version of Common Crawl's web crawl corpus (mC4) by AllenAI.
+Based on Common Crawl dataset: "https://commoncrawl.org".
+This is the processed version of Google's mC4 dataset by AllenAI, with further cleaning
+detailed in the repository README file.
+"""
+_HOMEPAGE = "https://github.com/allenai/allennlp/discussions/5056"
+_LICENSE = "Open Data Commons Attribution License (ODC-By) v1.0"
+_BASE_URL = "https://huggingface.co/datasets/munggok/mc4-id/resolve/main/mc4-id-filter/c4-id{split_suffix}.tfrecord-{index:05d}-of-{n_shards:05d}.json.gz"
+_CONFIGS = {
+    "tiny": {"train": 100, "validation": 1},
+    "small": {"train": 250, "validation": 2},
+    "medium": {"train": 500, "validation": 4},
+    "large": {"train": 750, "validation": 6},
+    "full": {"train": 1016, "validation": 8}
+}
+class OscarConfig(datasets.BuilderConfig):
+    """BuilderConfig for the Clean mC4 Italian."""
+    def __init__(self, **kwargs):
+        """BuilderConfig for Clean mC4 Italian.
+        Args:
+            **kwargs: keyword arguments forwarded to super.
+        """
+        super().__init__(**kwargs)
+class Oscar(datasets.GeneratorBasedBuilder):
+    """mC4, a colossal, cleaned version of Common Crawl's web crawl corpus."""
+    BUILDER_CONFIGS = [
+        OscarConfig(
+            name="full",
+            version=datasets.Version("1.0.0"),
+            description=textwrap.dedent(
+                f"""\
+                The full cleaned version of the Italian portion of the multilingual C4 corpus.
+                Estimated size of compressed files: 103GB
+                """
+            )
+        )
+    ]
+    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):
+        data_urls = {}
+        train_downloaded_files = file
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": train_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)
+                        meta = dict()
+                        meta["warc_headers"] = example["warc_headers"]
+                        meta["warc_headers"]["warc-identified-content-language"] = example[
+                            "warc_headers"
+                        ].get("warc-identified-content-language")
+                        meta["identification"] = example["metadata"]["identification"]
+                        meta["annotations"] = example["metadata"]["annotation"]
+                        meta["line_identifications"] = example["metadata"][
+                            "sentence_identifications"
+                        ]
+                        yield id_, {'text':example['content'],'url':example['warc_headers']['warc-target-uri'],'timestamp':example['warc_headers']['warc-date'],"meta": json.dumps(meta)}
+                        id_ += 1

2021_43/raw/2021_43_raw.py

@@ -0,0 +1,118 @@
+# 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 mC4 corpus."""
+import json
+import glob
+import gzip
+import textwrap
+import datasets
+import zstandard as zstd
+logger = datasets.logging.get_logger(__name__)
+
+file = sorted(glob.glob('/data/KoPI-CC/2021_43/raw/*.zst'))
+_CITATION = """
+@article{JMLR:v21:20-074,
+  author  = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
+  title   = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
+  journal = {Journal of Machine Learning Research},
+  year    = {2020},
+  volume  = {21},
+  number  = {140},
+  pages   = {1-67},
+  url     = {http://jmlr.org/papers/v21/20-074.html}
+}
+"""
+_DESCRIPTION = """\
+A thoroughly cleaned version of the Italian portion of the multilingual 
+colossal, cleaned version of Common Crawl's web crawl corpus (mC4) by AllenAI.
+Based on Common Crawl dataset: "https://commoncrawl.org".
+This is the processed version of Google's mC4 dataset by AllenAI, with further cleaning
+detailed in the repository README file.
+"""
+_HOMEPAGE = "https://github.com/allenai/allennlp/discussions/5056"
+_LICENSE = "Open Data Commons Attribution License (ODC-By) v1.0"
+_BASE_URL = "https://huggingface.co/datasets/munggok/mc4-id/resolve/main/mc4-id-filter/c4-id{split_suffix}.tfrecord-{index:05d}-of-{n_shards:05d}.json.gz"
+_CONFIGS = {
+    "tiny": {"train": 100, "validation": 1},
+    "small": {"train": 250, "validation": 2},
+    "medium": {"train": 500, "validation": 4},
+    "large": {"train": 750, "validation": 6},
+    "full": {"train": 1016, "validation": 8}
+}
+class OscarConfig(datasets.BuilderConfig):
+    """BuilderConfig for the Clean mC4 Italian."""
+    def __init__(self, **kwargs):
+        """BuilderConfig for Clean mC4 Italian.
+        Args:
+            **kwargs: keyword arguments forwarded to super.
+        """
+        super().__init__(**kwargs)
+class Oscar(datasets.GeneratorBasedBuilder):
+    """mC4, a colossal, cleaned version of Common Crawl's web crawl corpus."""
+    BUILDER_CONFIGS = [
+        OscarConfig(
+            name="full",
+            version=datasets.Version("1.0.0"),
+            description=textwrap.dedent(
+                f"""\
+                The full cleaned version of the Italian portion of the multilingual C4 corpus.
+                Estimated size of compressed files: 103GB
+                """
+            )
+        )
+    ]
+    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):
+        data_urls = {}
+        train_downloaded_files = file
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": train_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)
+                        meta = dict()
+                        meta["warc_headers"] = example["warc_headers"]
+                        meta["warc_headers"]["warc-identified-content-language"] = example[
+                            "warc_headers"
+                        ].get("warc-identified-content-language")
+                        meta["identification"] = example["metadata"]["identification"]
+                        meta["annotations"] = example["metadata"]["annotation"]
+                        meta["line_identifications"] = example["metadata"][
+                            "sentence_identifications"
+                        ]
+                        yield id_, {'text':example['content'],'url':example['warc_headers']['warc-target-uri'],'timestamp':example['warc_headers']['warc-date'],"meta": json.dumps(meta)}
+                        id_ += 1

2021_43/raw/id_meta_0.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8b7da10f810a75619e169e386cd0439a82944e03f163f41a0c0cf9cbce15ea99
+size 216039803

2021_43/raw/id_meta_1.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:91bc96d1d7b86b256dff6308907a2f7066682096304f726628c0490fa1fafc8b
+size 221156078

2021_43/raw/id_meta_10.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31cbee58a5490616078cd775d441b11ad31164ca840bc3b7836ad2b076cbdeb3
+size 224980292

2021_43/raw/id_meta_11.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:808b49f810176c78b919816ba3b35a0b5291b480d0b19065d30607e5e74e816c
+size 245037996

2021_43/raw/id_meta_12.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:673fd7d893bdf8643f5c0e086a86aadae58be7aefeb56f37241eb899722d8144
+size 217054896

2021_43/raw/id_meta_13.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:78decd076931966dfce7e3b034beabeadaf7238834135e04cb6773b80118b1c2
+size 235449131

2021_43/raw/id_meta_14.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:70de5b719bc62c61a0c39ec560a2a9789fee34027135a46a893d5bdd7fb70d6c
+size 236134405

2021_43/raw/id_meta_15.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a2d2b738ec0a238c45f7ee22168bfc9152134bd3cd4c340f5f60c4bb0a2d5961
+size 226982137

2021_43/raw/id_meta_16.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1a3322e114a2188d898fea02444c077adc5101c3887b5e653364c171f98c1994
+size 207666945

2021_43/raw/id_meta_17.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:38c95391cf2279638e29fbb281fb1b39e4f81ec8402a9e6668e0a88ecc7f8d55
+size 231178903

2021_43/raw/id_meta_18.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b4531dc643836b03d490f03dfe016c835b4154d1e19a1897230c6baef77da8b
+size 219346451

2021_43/raw/id_meta_19.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:91462d0e97e443132476d446de50542ca170c28234b6dfe29a69a1caa3b6e0c5
+size 221209959

2021_43/raw/id_meta_2.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a162ce5f21547e946fecbdc30a245198130f89201dc83bf2827683394a4863ce
+size 214267502

2021_43/raw/id_meta_20.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b3ff391b04b523fb1680538f9a67529184248245726009c5e36cb6c747502e28
+size 211595064

2021_43/raw/id_meta_21.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3da3dbcca1dade6fab7fb9b3ead7a1419a4de45dc7f301d5f10adabe01c92746
+size 229849969

2021_43/raw/id_meta_22.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c9d25e2298779e903aed944f29c8a64512a316c4d8f4bfa46c0d9a35755ef90
+size 225686520

2021_43/raw/id_meta_23.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec3bdebd3fb1d96c1d20fcac289504b5bd85026ed634433ed6575771b44bb157
+size 243511363

2021_43/raw/id_meta_24.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:965cc16e72158a8378e7fa3e227d30db16edf2d795d19b05ce3d70f5487c4fa4
+size 231492953

2021_43/raw/id_meta_25.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5588ae1cada9b8b50ff6a077819c4f85c6fc56f6a2075b85dcd549fb34697b54
+size 234309813

2021_43/raw/id_meta_26.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7e311febdf815e65a2519be7152c7da2e9d22d67c73caca0891e48846507dcd6
+size 190426726

2021_43/raw/id_meta_27.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c3aa80c3d9d14d0e54d130b737415934bfeb931e852cf789124cb3130f75eb20
+size 203695712

2021_43/raw/id_meta_28.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2df9a03b08b1b01a7569adf9e63f85ddc970b3738e38addca040fd0038d6e22f
+size 236046797

2021_43/raw/id_meta_29.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc441d81a357f2364a638eacc2fe888c3c52f076e4c43b5adaeea7ea8566ada9
+size 218366538

2021_43/raw/id_meta_3.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:13ffebd26976fdeafa3b2a005094f2502174af2a3145b8a4ca8025253cd61335
+size 248084429

2021_43/raw/id_meta_30.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:096ac1064ac25555bc094351720c5580b4297fcbf3eee6e1f5b1c6eebfae90bd
+size 220982008

2021_43/raw/id_meta_31.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09df17a1e45b379645a40257fb6a14f5845f261bce561aa7b9548ad84713e743
+size 240241870

2021_43/raw/id_meta_32.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d5a429c1315dc9b6fa4ae0c5bcb3ad7622d0c9aecc7e53908c1c09701f936aa0
+size 32393788

2021_43/raw/id_meta_33.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:99690951236b65cb2c13a5aef12a84dc4012785af94e47ee29fcd547d44e308a
+size 44545305

2021_43/raw/id_meta_34.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:70a63a8669df3d138c3d781fad3c3f482e60ffe74b1ba1e1e19e87791b683354
+size 27033451

2021_43/raw/id_meta_35.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9c243aac1b6715cf42cc3510e7bfe52af6d258bda44a3e83cb2488b811ed0010
+size 41590047

2021_43/raw/id_meta_4.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:da24a812adca9dcc0e644908e2724a563e8638f73538c16fdf390269754fcac4
+size 227280434

2021_43/raw/id_meta_5.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95fd92892a6e5678d12e7ddcb81047ce90eb3afa1fde526cff9edda85c9c7b1c
+size 224084192

2021_43/raw/id_meta_6.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7b566294b5e2bb8ef884162f567ae7db774123c64ab446f977ad6c2f7cf64512
+size 228154536

2021_43/raw/id_meta_7.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:451aa9465c88243917ba0e8bf1b090ddfaafa1330d0421a4afa3d504ed85521e
+size 228589114

2021_43/raw/id_meta_8.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aef9df81b381984fdaebbd8eec08674f08094b75600ecb65b06c8dbc3197ee1b
+size 216915798

2021_43/raw/id_meta_9.jsonl.zst

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cffb60c1e3f24651748c3af75f77f0847a11a79525ffe57d472be66ba00f7ca3
+size 204397509