JP-SystemsX
commited on
Commit
•
e26c06b
1
Parent(s):
7af7df3
Clean Up + Minor Error Handling
Browse files- .gitignore +1 -0
- super_eurlex.py +19 -37
.gitignore
CHANGED
@@ -4,3 +4,4 @@ requirements.txt
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parquet_converter.py
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text_data3/
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meta_data3/
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parquet_converter.py
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text_data3/
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meta_data3/
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+
*.pyc
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super_eurlex.py
CHANGED
@@ -48,35 +48,15 @@ _URLS = {
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"second_domain": "https://huggingface.co/great-new-dataset-second_domain.zip",
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}
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AVAILABLE_LANGUAGES=['DE']#, 'EN'
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-
SECTORS=['0', '1', '2', '3', '4', '5', '6', '8', '9', 'C', 'E']
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# Features to override the standard most Features were scrapped as a sequence
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# of strings with only the following exceptions
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FEATURES = {
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'celex_id': datasets.Value("string"),
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'current_consolidated_version': datasets.Sequence(datasets.Value("string")),
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'customs_duties_authorisation_to_defer_application_of_cct': datasets.Sequence(datasets.Value("string")),
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'customs_duties_community_tariff_quotas': datasets.Sequence(datasets.Value("string")),
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'customs_duties_suspensions': datasets.Sequence(datasets.Value("string")),
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'directory_code': datasets.Sequence(datasets.Value("string")),
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'eurovoc': datasets.Sequence(datasets.Value("string")),
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'form': datasets.Sequence(datasets.Value("string")),
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'harmonisation_of_customs_law_community_transit': datasets.Sequence(datasets.Value("string")),
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'harmonisation_of_customs_law_customs_territory': datasets.Sequence(datasets.Value("string")),
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'harmonisation_of_customs_law_origin_of_goods': datasets.Sequence(datasets.Value("string")),
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'harmonisation_of_customs_law_value_for_customs_purposes': datasets.Sequence(datasets.Value("string")),
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'harmonisation_of_customs_law_various': datasets.Sequence(datasets.Value("string")),
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'subject_matter': datasets.Sequence(datasets.Value("string")),
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'text_cleaned': datasets.Value("string"),
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'text_html_cleaned': datasets.Value("string"),
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'text_html_raw': datasets.Value("string"),
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-
'02.40.10.20_customs_union_and_free_movement_of_goods_/_specific_customs_rules_/_movement_of_goods_/_extra-community_trade_efta_agreements':datasets.Sequence(datasets.Value("string")),
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'13.20.40.00_industrial_policy_and_internal_market_/_industrial_policy_sectoral_operations_/_textiles':datasets.Sequence(datasets.Value("string")),
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'13.20.60.00_industrial_policy_and_internal_market_/_industrial_policy_sectoral_operations_/_information_technology,_telecommunications_and_data-processing':datasets.Sequence(datasets.Value("string")),
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'13.10.30.00_industrial_policy_and_internal_market_/_industrial_policy_general,_programmes,_statistics_and_research_/_research_and_technological_development':datasets.Sequence(datasets.Value("string")),
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-
'13.10.30.10_industrial_policy_and_internal_market_/_industrial_policy_general,_programmes,_statistics_and_research_/_research_and_technological_development_/_general_principles': datasets.Sequence(datasets.Value("string")),
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'13.30.19.00_industrial_policy_and_internal_market_/_internal_market_approximation_of_laws_/_fertilisers': datasets.Sequence(datasets.Value("string")),
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'13.10.30.20_industrial_policy_and_internal_market_/_industrial_policy_general,_programmes,_statistics_and_research_/_research_and_technological_development_/_research_sectors': datasets.Sequence(datasets.Value("string")),
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}
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FEATURES_IN_SECTOR={
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'0':['celex_id', 'text_html_raw', 'text_html_cleaned', 'text_cleaned', 'form'],
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@@ -310,18 +290,18 @@ FEATURES_IN_SECTOR={
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AVAILABLE_FEATURES={sector: datasets.Features({feature:(FEATURES[feature] if feature in FEATURES else datasets.Sequence(datasets.Value("string"))) for feature in FEATURES_IN_SECTOR[sector]}) for sector in SECTORS}
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SECTOR_DESCRIPTIONS={
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'0':"",
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'1':"",
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'2':"",
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'3':"",
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'4':"",
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'5':"",
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'6':"",
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'7':"",
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'8':"",
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'9':"",
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'C':"",
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'E':"",
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}
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@@ -376,7 +356,7 @@ class SuperEurlex(datasets.GeneratorBasedBuilder):
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for lang in AVAILABLE_LANGUAGES for sect in SECTORS
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]
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-
DEFAULT_CONFIG_NAME = "3.DE" # It's not mandatory to have a default configuration. Just use one if it make sense.
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def _info(self):
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# TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
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@@ -407,7 +387,11 @@ class SuperEurlex(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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urls = {'text': self.config.text_data_url,
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'meta': self.config.meta_data_url} #_URLS[self.config.name]
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-
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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@@ -437,8 +421,6 @@ class SuperEurlex(datasets.GeneratorBasedBuilder):
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yield i, sample
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-
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print("Hello World")
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if __name__ == '__main__':
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import datasets as ds
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import sys
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"second_domain": "https://huggingface.co/great-new-dataset-second_domain.zip",
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}
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AVAILABLE_LANGUAGES=['DE']#, 'EN'
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+
SECTORS=['0', '1', '2', '3', '4', '5', '6', '8', '9', 'C', 'E']#'7',
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# Features to override the standard most Features were scrapped as a sequence
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# of strings with only the following exceptions
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FEATURES = {
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'celex_id': datasets.Value("string"),
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'text_cleaned': datasets.Value("string"),
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'text_html_cleaned': datasets.Value("string"),
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'text_html_raw': datasets.Value("string"),
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}
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FEATURES_IN_SECTOR={
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'0':['celex_id', 'text_html_raw', 'text_html_cleaned', 'text_cleaned', 'form'],
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AVAILABLE_FEATURES={sector: datasets.Features({feature:(FEATURES[feature] if feature in FEATURES else datasets.Sequence(datasets.Value("string"))) for feature in FEATURES_IN_SECTOR[sector]}) for sector in SECTORS}
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SECTOR_DESCRIPTIONS={
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'0':"Consolidated acts ",
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'1':"Treaties",
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'2':"International agreements",
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'3':"Legislation",
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'4':"Complementary legislation",
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'5':"Preparatory acts and working documents",
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'6':"Case-law",
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'7':"National transposition measures",
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'8':"References to national case-law concerning EU law",
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'9':"Parliamentary questions",
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'C':"Other documents published in the Official Journal C series",
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'E':"EFTA documents",
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}
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for lang in AVAILABLE_LANGUAGES for sect in SECTORS
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]
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#DEFAULT_CONFIG_NAME = "3.DE" # It's not mandatory to have a default configuration. Just use one if it make sense.
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def _info(self):
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# TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
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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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urls = {'text': self.config.text_data_url,
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'meta': self.config.meta_data_url} #_URLS[self.config.name]
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try:
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data_dir = dl_manager.download_and_extract(urls)
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except FileNotFoundError:
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raise Exception("""The demanded Files weren't found.
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It could be that the demanded sector isn't yet available in your language of choice""")
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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yield i, sample
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if __name__ == '__main__':
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import datasets as ds
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import sys
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