Upload parallel_su_id.py with huggingface_hub
Browse files- parallel_su_id.py +12 -12
parallel_su_id.py
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@@ -4,13 +4,13 @@ from typing import List
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import datasets
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import json
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from
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from
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from
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_DATASETNAME = "parallel_su_id"
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_SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
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_UNIFIED_VIEW_NAME =
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_LANGUAGES = ["ind", "sun"] # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
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_LOCAL = False
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@@ -40,25 +40,25 @@ _URLs = {"ind": "https://dataverse.telkomuniversity.ac.id/api/access/datafile/:p
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_SUPPORTED_TASKS = [Tasks.MACHINE_TRANSLATION]
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_SOURCE_VERSION = "1.0.0"
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class ParallelSuId(datasets.GeneratorBasedBuilder):
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"""Parallel Su-Id is a machine translation dataset containing Indonesian-Sundanese parallel sentences collected from the online Sundanese language magazine Mangle, West Java Dakwah Council, and Balebat."""
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BUILDER_CONFIGS = [
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name="parallel_su_id_source",
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version=datasets.Version(_SOURCE_VERSION),
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description="Parallel Su-Id source schema",
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schema="source",
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subset_id="parallel_su_id",
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),
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name="
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version=datasets.Version(
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description="Parallel Su-Id Nusantara schema",
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schema="
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subset_id="parallel_su_id",
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),
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]
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@@ -68,7 +68,7 @@ class ParallelSuId(datasets.GeneratorBasedBuilder):
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def _info(self):
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if self.config.schema == "source":
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features = datasets.Features({"id": datasets.Value("string"), "text": datasets.Value("string"), "label": datasets.Value("string")})
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elif self.config.schema == "
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features = schemas.text2text_features
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return datasets.DatasetInfo(
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@@ -109,7 +109,7 @@ class ParallelSuId(datasets.GeneratorBasedBuilder):
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"label": data['ind'][i].replace("\n","")
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}
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yield i, ex
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elif self.config.schema == "
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for i in range(len(data[lang])):
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ex = {
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"id": i,
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import datasets
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import json
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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 Tasks, DEFAULT_SOURCE_VIEW_NAME, DEFAULT_SEACROWD_VIEW_NAME
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_DATASETNAME = "parallel_su_id"
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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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_LANGUAGES = ["ind", "sun"] # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
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_LOCAL = False
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_SUPPORTED_TASKS = [Tasks.MACHINE_TRANSLATION]
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_SOURCE_VERSION = "1.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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class ParallelSuId(datasets.GeneratorBasedBuilder):
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"""Parallel Su-Id is a machine translation dataset containing Indonesian-Sundanese parallel sentences collected from the online Sundanese language magazine Mangle, West Java Dakwah Council, and Balebat."""
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BUILDER_CONFIGS = [
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SEACrowdConfig(
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name="parallel_su_id_source",
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version=datasets.Version(_SOURCE_VERSION),
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description="Parallel Su-Id source schema",
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schema="source",
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subset_id="parallel_su_id",
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),
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SEACrowdConfig(
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name="parallel_su_id_seacrowd_t2t",
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version=datasets.Version(_SEACROWD_VERSION),
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description="Parallel Su-Id Nusantara schema",
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schema="seacrowd_t2t",
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subset_id="parallel_su_id",
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),
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]
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def _info(self):
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if self.config.schema == "source":
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features = datasets.Features({"id": datasets.Value("string"), "text": datasets.Value("string"), "label": datasets.Value("string")})
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elif self.config.schema == "seacrowd_t2t":
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features = schemas.text2text_features
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return datasets.DatasetInfo(
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"label": data['ind'][i].replace("\n","")
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}
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yield i, ex
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elif self.config.schema == "seacrowd_t2t":
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for i in range(len(data[lang])):
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ex = {
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"id": i,
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