flexthink
commited on
Commit
•
e0e90b5
1
Parent(s):
a3cebb6
Fixed a sample with incorrect annotations
Browse files- dataset/homograph_valid.json +2 -2
- librig2p-nostress-space.py +7 -10
dataset/homograph_valid.json
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:d06ae492e1a337694a14da231fd3e68b9b70beff6dedcb9e1cae4fbf82705cf2
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+
size 697913
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librig2p-nostress-space.py
CHANGED
@@ -19,7 +19,9 @@ _DATA_TYPES = ["lexicon", "sentence", "homograph"]
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_SPLITS = [
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f"{data_type}_{split_type}"
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for data_type in _DATA_TYPES
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-
for split_type in _SPLIT_TYPES
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class GraphemeToPhoneme(datasets.GeneratorBasedBuilder):
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def __init__(self, base_url=None, splits=None, *args, **kwargs):
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@@ -50,21 +52,17 @@ class GraphemeToPhoneme(datasets.GeneratorBasedBuilder):
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)
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def _get_url(self, split):
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return f
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def _split_generator(self, dl_manager, split):
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url = self._get_url(split)
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path = dl_manager.download_and_extract(url)
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return datasets.SplitGenerator(
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name=split,
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gen_kwargs={"datapath": path, "datatype": split},
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)
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def _split_generators(self, dl_manager):
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return [
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self._split_generator(dl_manager, split)
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for split in self.splits
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]
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def _generate_examples(self, datapath, datatype):
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with open(datapath, encoding="utf-8") as f:
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@@ -81,7 +79,6 @@ class GraphemeToPhoneme(datasets.GeneratorBasedBuilder):
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"homograph_char_start": item.get("homograph_char_start", 0),
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"homograph_char_end": item.get("homograph_char_end", 0),
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"homograph_phn_start": item.get("homograph_phn_start", 0),
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"homograph_phn_end": item.get("homograph_phn_end", 0)
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-
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}
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yield sentence_counter, resp
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_SPLITS = [
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f"{data_type}_{split_type}"
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for data_type in _DATA_TYPES
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for split_type in _SPLIT_TYPES
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]
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class GraphemeToPhoneme(datasets.GeneratorBasedBuilder):
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def __init__(self, base_url=None, splits=None, *args, **kwargs):
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)
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def _get_url(self, split):
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return f"{self.base_url}/{split}.json"
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def _split_generator(self, dl_manager, split):
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url = self._get_url(split)
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path = dl_manager.download_and_extract(url)
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return datasets.SplitGenerator(
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name=split, gen_kwargs={"datapath": path, "datatype": split},
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)
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def _split_generators(self, dl_manager):
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return [self._split_generator(dl_manager, split) for split in self.splits]
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def _generate_examples(self, datapath, datatype):
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with open(datapath, encoding="utf-8") as f:
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"homograph_char_start": item.get("homograph_char_start", 0),
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"homograph_char_end": item.get("homograph_char_end", 0),
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"homograph_phn_start": item.get("homograph_phn_start", 0),
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"homograph_phn_end": item.get("homograph_phn_end", 0),
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}
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yield sentence_counter, resp
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