Update files from the datasets library (from 1.16.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.16.0
- README.md +1 -0
- ted_hrlr.py +20 -15
README.md
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@@ -1,4 +1,5 @@
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---
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paperswithcode_id: null
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pretty_name: TEDHrlr
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paperswithcode_id: null
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ted_hrlr.py
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"""TED talk high/low-resource paired language data set from Qi, et al. 2018."""
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import os
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import datasets
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@@ -116,41 +114,48 @@ class TedHrlr(datasets.GeneratorBasedBuilder):
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)
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def _split_generators(self, dl_manager):
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source, target = self.config.language_pair
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data_dir =
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return [
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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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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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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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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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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):
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"""This function returns the examples in the raw (text) form."""
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assert len(target_sentences) == len(source_sentences), "Sizes do not match: %d vs %d for %s vs %s." % (
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len(source_sentences),
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"""TED talk high/low-resource paired language data set from Qi, et al. 2018."""
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import datasets
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)
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def _split_generators(self, dl_manager):
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archive = dl_manager.download(_DATA_URL)
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source, target = self.config.language_pair
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data_dir = "datasets/%s_to_%s" % (source, target)
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return [
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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": data_dir + "/" + f"{source.replace('_', '-')}.train",
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"target_file": data_dir + "/" + f"{target}.train",
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"files": dl_manager.iter_archive(archive),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={
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"source_file": data_dir + "/" + f"{source.split('_')[0]}.dev",
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"target_file": data_dir + "/" + f"{target}.dev",
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"files": dl_manager.iter_archive(archive),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"source_file": data_dir + "/" + f"{source.split('_')[0]}.test",
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"target_file": data_dir + "/" + f"{target}.test",
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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):
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"""This function returns the examples in the raw (text) form."""
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source_sentences, target_sentences = None, 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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if source_sentences is not None and target_sentences is not None:
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break
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assert len(target_sentences) == len(source_sentences), "Sizes do not match: %d vs %d for %s vs %s." % (
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len(source_sentences),
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