holylovenia
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Upload kopi_cc.py with huggingface_hub
Browse files- kopi_cc.py +14 -14
kopi_cc.py
CHANGED
@@ -16,7 +16,7 @@
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"""
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KoPI-CC corpus
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[
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"""
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import gzip
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@@ -26,16 +26,16 @@ from typing import List
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import datasets
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import zstandard as zstd
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from
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from
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from
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DEFAULT_SOURCE_VIEW_NAME, Tasks)
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_DATASETNAME = "kopi_cc"
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_LANGUAGES = ["ind"]
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_LOCAL = False
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_SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
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_UNIFIED_VIEW_NAME =
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_URL = "https://commoncrawl.org/"
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_CITATION = """\
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@ARTICLE{2022arXiv220106642A,
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@@ -112,18 +112,18 @@ _ALL_CONFIG = ["all-raw", "all-dedup", "all-neardup", "all-neardup_clean"] + _SN
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_SOURCE_VERSION = "2018.12.01"
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-
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def
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"""Construct
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if schema != "source" and schema != "
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raise ValueError(f"Invalid schema: {schema}")
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if snapshot == "":
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raise ValueError(f"Snapshot is required. Choose one of these Snapshot: {_ALL_CONFIG}.")
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elif snapshot in _SNAP_CONFIG + _ALL_CONFIG:
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return
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name=f"{_DATASETNAME}_{snapshot}_{schema}",
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version=datasets.Version(version),
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description=f"KoPI-CC with {schema} schema for {snapshot}",
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@@ -138,7 +138,7 @@ class KoPICC(datasets.GeneratorBasedBuilder):
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DEFAULT_CONFIG_NAME = "2021_17_dedup"
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BUILDER_CONFIGS = [
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def _info(self):
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if self.config.schema == "source":
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@@ -150,7 +150,7 @@ class KoPICC(datasets.GeneratorBasedBuilder):
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"meta": datasets.Value("string"),
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}
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)
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elif self.config.schema == "
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features = schemas.self_supervised_pretraining.features
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return datasets.DatasetInfo(
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@@ -201,7 +201,7 @@ class KoPICC(datasets.GeneratorBasedBuilder):
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meta["identification"] = example["metadata"]["identification"]
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meta["annotations"] = example["metadata"]["annotation"]
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meta["line_identifications"] = example["metadata"]["sentence_identifications"]
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if self.config.schema == "
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yield id_, {"id": str(id_), "text": example["content"]}
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id_ += 1
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else:
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@@ -212,7 +212,7 @@ class KoPICC(datasets.GeneratorBasedBuilder):
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for line in f:
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if line:
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example = json.loads(line)
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if self.config.schema == "
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yield id_, {"id": str(id_), "text": example["text"]}
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id_ += 1
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else:
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"""
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KoPI-CC corpus
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[seacrowd_schema_name] = ssp
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"""
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import gzip
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import datasets
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import zstandard as zstd
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from seacrowd.utils import schemas
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from seacrowd.utils.configs import SEACrowdConfig
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from seacrowd.utils.constants import (DEFAULT_SEACROWD_VIEW_NAME,
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DEFAULT_SOURCE_VIEW_NAME, Tasks)
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_DATASETNAME = "kopi_cc"
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_LANGUAGES = ["ind"]
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_LOCAL = False
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_SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
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_UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
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_URL = "https://commoncrawl.org/"
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_CITATION = """\
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@ARTICLE{2022arXiv220106642A,
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_SOURCE_VERSION = "2018.12.01"
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_SEACROWD_VERSION = "2024.06.20"
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def seacrowd_config_constructor(snapshot, schema, version):
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"""Construct SEACrowdConfig"""
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if schema != "source" and schema != "seacrowd_ssp":
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raise ValueError(f"Invalid schema: {schema}")
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if snapshot == "":
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raise ValueError(f"Snapshot is required. Choose one of these Snapshot: {_ALL_CONFIG}.")
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elif snapshot in _SNAP_CONFIG + _ALL_CONFIG:
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return SEACrowdConfig(
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name=f"{_DATASETNAME}_{snapshot}_{schema}",
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version=datasets.Version(version),
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description=f"KoPI-CC with {schema} schema for {snapshot}",
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DEFAULT_CONFIG_NAME = "2021_17_dedup"
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BUILDER_CONFIGS = [seacrowd_config_constructor(sn, "source", _SOURCE_VERSION) for sn in _ALL_CONFIG] + [seacrowd_config_constructor(sn, "seacrowd_ssp", _SEACROWD_VERSION) for sn in _ALL_CONFIG]
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def _info(self):
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if self.config.schema == "source":
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"meta": datasets.Value("string"),
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}
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)
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elif self.config.schema == "seacrowd_ssp":
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features = schemas.self_supervised_pretraining.features
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return datasets.DatasetInfo(
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meta["identification"] = example["metadata"]["identification"]
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meta["annotations"] = example["metadata"]["annotation"]
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meta["line_identifications"] = example["metadata"]["sentence_identifications"]
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if self.config.schema == "seacrowd_ssp":
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yield id_, {"id": str(id_), "text": example["content"]}
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id_ += 1
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else:
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for line in f:
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if line:
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example = json.loads(line)
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if self.config.schema == "seacrowd_ssp":
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yield id_, {"id": str(id_), "text": example["text"]}
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id_ += 1
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else:
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