Upload nusatranslation_mt.py with huggingface_hub
Browse files- nusatranslation_mt.py +18 -18
nusatranslation_mt.py
CHANGED
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@@ -6,13 +6,13 @@ import re
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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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_DATASETNAME = "nusatranslation_mt"
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_SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
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_UNIFIED_VIEW_NAME =
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_LANGUAGES = ["ind", "btk", "bew", "bug", "jav", "mad", "mak", "min", "mui", "rej", "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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@@ -41,7 +41,7 @@ _SUPPORTED_TASKS = [Tasks.MACHINE_TRANSLATION]
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_SOURCE_VERSION = "1.0.0"
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_URLS = {
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"train": "https://raw.githubusercontent.com/IndoNLP/nusa-writes/main/data/nusa_kalimat-mt-{lang}-train.csv",
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@@ -69,7 +69,7 @@ class NusaTranslationMT(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = (
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[
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name=f"nusatranslation_mt_ind_{subset}_source",
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version=datasets.Version(_SOURCE_VERSION),
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description=f"nusatranslation_mt ind2{subset} source schema",
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@@ -79,17 +79,17 @@ class NusaTranslationMT(datasets.GeneratorBasedBuilder):
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for subset in _LANGUAGES[1:]
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]
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+ [
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name=f"nusatranslation_mt_ind_{subset}
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version=datasets.Version(
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description=f"nusatranslation_mt ind2{subset} Nusantara schema",
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schema="
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subset_id=f"nusatranslation_mt",
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)
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for subset in _LANGUAGES[1:]
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]
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+ [
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name=f"nusatranslation_mt_{subset}_ind_source",
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version=datasets.Version(_SOURCE_VERSION),
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description=f"nusatranslation_mt {subset}2ind source schema",
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@@ -99,11 +99,11 @@ class NusaTranslationMT(datasets.GeneratorBasedBuilder):
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for subset in _LANGUAGES[1:]
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]
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+ [
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name=f"nusatranslation_mt_{subset}
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version=datasets.Version(
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description=f"nusatranslation_mt {subset}2ind Nusantara schema",
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schema="
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subset_id=f"nusatranslation_mt",
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)
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for subset in _LANGUAGES[1:]
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@@ -115,7 +115,7 @@ class NusaTranslationMT(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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@@ -172,7 +172,7 @@ class NusaTranslationMT(datasets.GeneratorBasedBuilder):
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return src_lang, tgt_lang, self._merge_subsets(dfs, subsets, revert=(src_lang != "ind"))
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def _generate_examples(self, filepath: Path) -> Tuple[int, Dict]:
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if self.config.schema != "source" and self.config.schema != "
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raise ValueError(f"Invalid config schema: {self.config.schema}")
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# print(filepath)
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@@ -191,7 +191,7 @@ class NusaTranslationMT(datasets.GeneratorBasedBuilder):
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}
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yield idx, ex
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elif self.config.schema == "
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for idx, row in enumerate(df.itertuples()):
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ex = {
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"id": str(idx),
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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.configs import SEACrowdConfig
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from seacrowd.utils.constants import DEFAULT_SEACROWD_VIEW_NAME, DEFAULT_SOURCE_VIEW_NAME, Tasks
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_DATASETNAME = "nusatranslation_mt"
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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", "btk", "bew", "bug", "jav", "mad", "mak", "min", "mui", "rej", "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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_SOURCE_VERSION = "1.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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_URLS = {
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"train": "https://raw.githubusercontent.com/IndoNLP/nusa-writes/main/data/nusa_kalimat-mt-{lang}-train.csv",
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BUILDER_CONFIGS = (
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[
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SEACrowdConfig(
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name=f"nusatranslation_mt_ind_{subset}_source",
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version=datasets.Version(_SOURCE_VERSION),
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description=f"nusatranslation_mt ind2{subset} source schema",
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for subset in _LANGUAGES[1:]
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]
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+ [
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SEACrowdConfig(
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name=f"nusatranslation_mt_ind_{subset}_seacrowd_t2t",
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version=datasets.Version(_SEACROWD_VERSION),
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description=f"nusatranslation_mt ind2{subset} Nusantara schema",
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schema="seacrowd_t2t",
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subset_id=f"nusatranslation_mt",
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)
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for subset in _LANGUAGES[1:]
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]
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+ [
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SEACrowdConfig(
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name=f"nusatranslation_mt_{subset}_ind_source",
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version=datasets.Version(_SOURCE_VERSION),
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description=f"nusatranslation_mt {subset}2ind source schema",
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for subset in _LANGUAGES[1:]
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]
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+ [
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SEACrowdConfig(
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name=f"nusatranslation_mt_{subset}_ind_seacrowd_t2t",
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version=datasets.Version(_SEACROWD_VERSION),
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description=f"nusatranslation_mt {subset}2ind Nusantara schema",
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schema="seacrowd_t2t",
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subset_id=f"nusatranslation_mt",
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)
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for subset in _LANGUAGES[1:]
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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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return src_lang, tgt_lang, self._merge_subsets(dfs, subsets, revert=(src_lang != "ind"))
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def _generate_examples(self, filepath: Path) -> Tuple[int, Dict]:
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if self.config.schema != "source" and self.config.schema != "seacrowd_t2t":
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raise ValueError(f"Invalid config schema: {self.config.schema}")
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# print(filepath)
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}
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yield idx, ex
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elif self.config.schema == "seacrowd_t2t":
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for idx, row in enumerate(df.itertuples()):
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ex = {
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"id": str(idx),
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