Datasets:
Update files from the datasets library (from 1.16.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.16.0
scielo.py
CHANGED
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@@ -15,8 +15,6 @@
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"""Parallel corpus of full-text articles in Portuguese, English and Spanish from SciELO"""
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import os
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import datasets
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@@ -74,7 +72,7 @@ class Scielo(datasets.GeneratorBasedBuilder):
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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lang_pair = self.config.name.split("-")
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fname = self.config.name.replace("-", "_")
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@@ -83,9 +81,10 @@ class Scielo(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"source_file":
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"target_file":
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"target_file_2":
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},
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),
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]
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@@ -94,24 +93,25 @@ class Scielo(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"source_file":
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"target_file":
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},
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),
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]
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def _generate_examples(self, source_file, target_file, target_file_2=None):
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if self.config.name == "en-pt-es":
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with open(target_file_2, encoding="utf-8") as f:
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target_2_sentences = f.read().split("\n")
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source, target, target_2 = tuple(self.config.name.split("-"))
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for idx, (l1, l2, l3) in enumerate(zip(source_sentences, target_sentences,
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result = {"translation": {source: l1, target: l2, target_2: l3}}
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yield idx, result
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else:
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"""Parallel corpus of full-text articles in Portuguese, English and Spanish from SciELO"""
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import datasets
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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archive = dl_manager.download(_URLS[self.config.name])
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lang_pair = self.config.name.split("-")
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fname = self.config.name.replace("-", "_")
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"source_file": f"{fname}.en",
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"target_file": f"{fname}.pt",
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"target_file_2": f"{fname}.es",
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"files": dl_manager.iter_archive(archive),
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},
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),
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]
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"source_file": f"{fname}.{lang_pair[0]}",
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"target_file": f"{fname}.{lang_pair[1]}",
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"files": dl_manager.iter_archive(archive),
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},
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),
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]
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def _generate_examples(self, source_file, target_file, files, target_file_2=None):
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for path, f in files:
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if path == source_file:
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source_sentences = f.read().decode("utf-8").split("\n")
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elif path == target_file:
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target_sentences = f.read().decode("utf-8").split("\n")
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elif self.config.name == "en-pt-es" and path == target_file_2:
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target_sentences_2 = f.read().decode("utf-8").split("\n")
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if self.config.name == "en-pt-es":
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source, target, target_2 = tuple(self.config.name.split("-"))
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for idx, (l1, l2, l3) in enumerate(zip(source_sentences, target_sentences, target_sentences_2)):
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result = {"translation": {source: l1, target: l2, target_2: l3}}
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yield idx, result
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else:
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