Upload identic.py with huggingface_hub
Browse files- identic.py +29 -29
identic.py
CHANGED
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@@ -24,10 +24,10 @@ from typing import Dict, List, Tuple
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import datasets
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import pandas as pd
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from
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from
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from
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from
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_CITATION = """\
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@inproceedings{larasati-2012-identic,
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@@ -72,7 +72,7 @@ _SUPPORTED_TASKS = [Tasks.MACHINE_TRANSLATION, Tasks.POS_TAGGING]
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_SOURCE_VERSION = "1.0.0"
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_LANGUAGES = ["ind", "eng"]
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@@ -110,22 +110,22 @@ tagsets_map = {
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}
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def
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if variation not in SOURCE_VARIATION:
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raise NotImplementedError("'{var}' is not available".format(var=variation))
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ver = datasets.Version(version)
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if task == "seq_label":
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return
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name="identic_{lang}
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version=ver,
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description="IDENTIC {lang} source schema".format(lang=lang),
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schema="
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subset_id="identic",
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)
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else:
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return
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name="identic_{var}_{task}".format(var=variation, task=task),
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version=ver,
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description="IDENTIC {var} source schema".format(var=variation),
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@@ -149,7 +149,7 @@ class IdenticDataset(datasets.GeneratorBasedBuilder):
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"""
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
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# Details of the tagsets in https://septinalarasati.com/morphind/
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TAGSETS = [
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@@ -234,45 +234,45 @@ class IdenticDataset(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = (
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[
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name="identic_source",
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version=SOURCE_VERSION,
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description="identic source schema",
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schema="source",
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subset_id="identic",
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),
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name="identic_id_source",
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version=SOURCE_VERSION,
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description="identic source schema",
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schema="source",
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subset_id="identic",
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),
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name="identic_en_source",
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version=SOURCE_VERSION,
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description="identic source schema",
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schema="source",
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subset_id="identic",
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),
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name="
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version=
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description="Identic Nusantara schema",
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schema="
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subset_id="identic",
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),
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-
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name="
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version=
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description="Identic Nusantara schema",
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schema="
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subset_id="identic",
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),
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]
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+ [
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+ [
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+ [
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)
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DEFAULT_CONFIG_NAME = "identic_source"
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@@ -303,10 +303,10 @@ class IdenticDataset(datasets.GeneratorBasedBuilder):
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}
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)
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elif self.config.schema == "
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features = schemas.text2text_features
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elif self.config.schema == "
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features = schemas.seq_label_features(self.TAGSETS)
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return datasets.DatasetInfo(
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@@ -368,7 +368,7 @@ class IdenticDataset(datasets.GeneratorBasedBuilder):
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for key, example in enumerate(load_ud_data(path)):
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yield key, example
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elif self.config.schema == "
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for id, row in df.iterrows():
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yield id, {
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"id": str(id),
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@@ -378,7 +378,7 @@ class IdenticDataset(datasets.GeneratorBasedBuilder):
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"text_2_name": "eng",
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}
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elif self.config.schema == "
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if lang is None:
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lang = "id"
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path = filepath.parent / "{lang}.npp.conll".format(lang=lang)
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import datasets
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import pandas as pd
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from seacrowd.utils import schemas
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from seacrowd.utils.common_parser import load_ud_data
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from seacrowd.utils.configs import SEACrowdConfig
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from seacrowd.utils.constants import Tasks
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_CITATION = """\
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@inproceedings{larasati-2012-identic,
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_SOURCE_VERSION = "1.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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_LANGUAGES = ["ind", "eng"]
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}
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def seacrowd_config_constructor(version, variation=None, task="source", lang="id"):
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if variation not in SOURCE_VARIATION:
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raise NotImplementedError("'{var}' is not available".format(var=variation))
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ver = datasets.Version(version)
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if task == "seq_label":
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return SEACrowdConfig(
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name="identic_{lang}_seacrowd_seq_label".format(lang=lang),
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version=ver,
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description="IDENTIC {lang} source schema".format(lang=lang),
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schema="seacrowd_seq_label",
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subset_id="identic",
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)
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else:
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return SEACrowdConfig(
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name="identic_{var}_{task}".format(var=variation, task=task),
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version=ver,
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description="IDENTIC {var} source schema".format(var=variation),
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"""
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
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SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
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# Details of the tagsets in https://septinalarasati.com/morphind/
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TAGSETS = [
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BUILDER_CONFIGS = (
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[
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SEACrowdConfig(
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name="identic_source",
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version=SOURCE_VERSION,
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description="identic source schema",
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schema="source",
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subset_id="identic",
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),
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SEACrowdConfig(
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name="identic_id_source",
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version=SOURCE_VERSION,
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description="identic source schema",
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schema="source",
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subset_id="identic",
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),
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SEACrowdConfig(
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name="identic_en_source",
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version=SOURCE_VERSION,
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description="identic source schema",
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schema="source",
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subset_id="identic",
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),
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SEACrowdConfig(
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name="identic_seacrowd_t2t",
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version=SEACROWD_VERSION,
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description="Identic Nusantara schema",
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schema="seacrowd_t2t",
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subset_id="identic",
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),
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SEACrowdConfig(
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name="identic_seacrowd_seq_label",
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version=SEACROWD_VERSION,
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description="Identic Nusantara schema",
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schema="seacrowd_seq_label",
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subset_id="identic",
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),
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]
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+ [seacrowd_config_constructor(_SEACROWD_VERSION, var) for var in SOURCE_VARIATION]
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+ [seacrowd_config_constructor(_SEACROWD_VERSION, var, "seacrowd_t2t") for var in SOURCE_VARIATION]
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+ [seacrowd_config_constructor(_SEACROWD_VERSION, "raw", task="seq_label", lang=lang) for lang in ["en", "id"]]
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)
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DEFAULT_CONFIG_NAME = "identic_source"
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}
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)
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elif self.config.schema == "seacrowd_t2t":
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features = schemas.text2text_features
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elif self.config.schema == "seacrowd_seq_label":
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features = schemas.seq_label_features(self.TAGSETS)
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return datasets.DatasetInfo(
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for key, example in enumerate(load_ud_data(path)):
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yield key, example
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elif self.config.schema == "seacrowd_t2t":
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for id, row in df.iterrows():
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yield id, {
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"id": str(id),
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"text_2_name": "eng",
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}
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elif self.config.schema == "seacrowd_seq_label":
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if lang is None:
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lang = "id"
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path = filepath.parent / "{lang}.npp.conll".format(lang=lang)
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