Matilde commited on
Commit
46d84db
1 Parent(s): f38bf80

Update homo_ita.py

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  1. homo_ita.py +4 -21
homo_ita.py CHANGED
@@ -1,9 +1,4 @@
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- # coding=utf-8
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- # Copyright 2021 Artem Ploujnikov
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-
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-
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- # Lint as: python3
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- import json
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  import datasets
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@@ -11,11 +6,11 @@ _DESCRIPTION = """\
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  Grapheme-to-Phoneme training, validation and test sets
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  """
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- _BASE_URL = "https://huggingface.co/datasets/flexthink/librig2p-nostress-space/resolve/main/dataset"
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- _HOMEPAGE_URL = "https://huggingface.co/datasets/flexthink/librig2p-nostress-space"
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  _NA = "N/A"
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  _SPLIT_TYPES = ["train", "valid", "test"]
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- _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
@@ -39,12 +34,6 @@ class GraphemeToPhoneme(datasets.GeneratorBasedBuilder):
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  "origin": datasets.Value("string"),
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  "char": datasets.Value("string"),
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  "phn": datasets.Sequence(datasets.Value("string")),
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- "homograph": datasets.Value("string"),
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- "homograph_wordid": datasets.Value("string"),
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- "homograph_char_start": datasets.Value("int32"),
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- "homograph_char_end": datasets.Value("int32"),
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- "homograph_phn_start": datasets.Value("int32"),
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- "homograph_phn_end": datasets.Value("int32"),
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  },
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  ),
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  supervised_keys=None,
@@ -74,11 +63,5 @@ class GraphemeToPhoneme(datasets.GeneratorBasedBuilder):
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  "origin": item["origin"],
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  "char": item["char"],
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  "phn": item["phn"],
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- "homograph": item.get("homograph", _NA),
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- "homograph_wordid": item.get("homograph_wordid", _NA),
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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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+ import csv
 
 
 
 
 
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  import datasets
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  Grapheme-to-Phoneme training, validation and test sets
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  """
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+ _BASE_URL = "https://huggingface.co/datasets/Matilde/Homo_ita/tree/main"
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+ _HOMEPAGE_URL = "https://huggingface.co/datasets/Matilde/Homo_ita"
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  _NA = "N/A"
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  _SPLIT_TYPES = ["train", "valid", "test"]
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+ _DATA_TYPES = ["lexicon", "sentence"]
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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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  "origin": datasets.Value("string"),
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  "char": datasets.Value("string"),
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  "phn": datasets.Sequence(datasets.Value("string")),
 
 
 
 
 
 
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  },
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  ),
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  supervised_keys=None,
 
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  "origin": item["origin"],
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  "char": item["char"],
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  "phn": item["phn"],
 
 
 
 
 
 
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  }
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  yield sentence_counter, resp