mathiascreutz
commited on
Commit
•
4840694
1
Parent(s):
6bb0ab7
Testing configs
Browse files- opusparcus.py +25 -25
opusparcus.py
CHANGED
@@ -45,7 +45,7 @@ _LICENSE = ""
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_URLs = {
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"validation": "validation.jsonl",
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"test": "test.jsonl"
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@@ -136,20 +136,22 @@ class Opusparcus(datasets.GeneratorBasedBuilder):
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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data_dir = dl_manager.download_and_extract(_URLs)
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return [
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# datasets.SplitGenerator(
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# name=datasets.Split.TRAIN,
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# # These kwargs will be passed to _generate_examples
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# gen_kwargs={
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# "filepath": data_dir["train"],
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# "split": "train",
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# },
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# ),
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datasets.SplitGenerator(
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name=datasets.Split.
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"lang": self.config.lang,
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"quality": self.config.quality,
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"filepath": data_dir["test"],
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"split": "test"
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},
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@@ -159,7 +161,7 @@ class Opusparcus(datasets.GeneratorBasedBuilder):
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"lang": self.config.lang,
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"quality":
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"filepath": data_dir["validation"],
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"split": "validation",
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},
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@@ -170,21 +172,19 @@ class Opusparcus(datasets.GeneratorBasedBuilder):
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self, lang, quality, filepath, split # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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):
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# lang, qualitystr = configname.split("\.")
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# quality = int(qualitystr)
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""" Yields examples as (key, example) tuples. """
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# This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
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# The `key` is here for legacy reason (tfds) and is not important in itself.
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_URLs = {
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"train": "train_",
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"validation": "validation.jsonl",
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"test": "test.jsonl"
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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data_dir = dl_manager.download_and_extract(_URLs)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"lang": self.config.lang,
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"quality": self.config.quality,
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"filepath": data_dir["train"],
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"split": "train",
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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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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"lang": self.config.lang,
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"quality": 100,
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"filepath": data_dir["test"],
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"split": "test"
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},
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"lang": self.config.lang,
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"quality": 100,
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"filepath": data_dir["validation"],
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"split": "validation",
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},
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self, lang, quality, filepath, split # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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):
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""" Yields examples as (key, example) tuples. """
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# This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
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# The `key` is here for legacy reason (tfds) and is not important in itself.
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if split == datasets.Split.TEST:
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with open(filepath, encoding="utf-8") as f:
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for id_, row in enumerate(f):
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data = json.loads(row)
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if data["lang"] == lang:
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yield id_, {
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"lang": data["lang"] + "-quality-" + str(quality),
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"sent1": data["sent1"],
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"sent2": data["sent2"],
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"annot_score": data["annot_score"],
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"gem_id": data["gem_id"],
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}
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