Albert Villanova del Moral
commited on
Join baseline and incremental paths
Browse files- open_access.py +8 -38
open_access.py
CHANGED
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@@ -112,8 +112,7 @@ class OpenAccess(datasets.GeneratorBasedBuilder):
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def _split_generators(self, dl_manager):
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incremental_paths = []
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for subset in self.config.subsets:
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url = _URL.format(subset=_SUBSETS[subset])
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basename = f"{_SUBSETS[subset]}_txt."
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@@ -123,7 +122,6 @@ class OpenAccess(datasets.GeneratorBasedBuilder):
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(f"{url}{basename}{baseline}.filelist.csv", f"{url}{basename}{baseline}.tar.gz")
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for baseline in baselines
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]
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baseline_paths += dl_manager.download(baseline_urls)
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# Incremental
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date_delta = datetime.date.today() - datetime.date.fromisoformat(_BASELINE_DATE)
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incremental_dates = [
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@@ -135,29 +133,23 @@ class OpenAccess(datasets.GeneratorBasedBuilder):
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(f"{url}{basename}{incremental}.filelist.csv", f"{url}{basename}{incremental}.tar.gz")
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for incremental in incrementals
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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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gen_kwargs={
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"
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(file_list, dl_manager.iter_archive(archive)) for file_list, archive in baseline_paths
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],
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"incremental_paths": [
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(file_list, dl_manager.iter_archive(archive)) for file_list, archive in incremental_paths
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],
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},
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),
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]
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def _generate_examples(self,
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key = 0
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data = baselines.pop(path)
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content = file.read()
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try:
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text = content.decode("utf-8").strip()
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@@ -174,25 +166,3 @@ class OpenAccess(datasets.GeneratorBasedBuilder):
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}
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yield key, data
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key += 1
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# Incrementals
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if incremental_paths:
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for incremental_file_list, incremental_archive in incremental_paths:
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incrementals = pd.read_csv(incremental_file_list, index_col="Article File").to_dict(orient="index")
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for path, file in incremental_archive:
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data = incrementals.pop(path)
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content = file.read()
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try:
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text = content.decode("utf-8").strip()
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except UnicodeDecodeError as e:
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text = content.decode("latin-1").strip()
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data = {
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"text": text,
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"pmid": data["PMID"],
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"accession_id": data["AccessionID"],
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"license": data["License"],
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"last_updated": data["LastUpdated (YYYY-MM-DD HH:MM:SS)"],
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"retracted": data["Retracted"],
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"citation": data["Article Citation"],
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}
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yield key, data
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key += 1
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def _split_generators(self, dl_manager):
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paths = []
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for subset in self.config.subsets:
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url = _URL.format(subset=_SUBSETS[subset])
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basename = f"{_SUBSETS[subset]}_txt."
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(f"{url}{basename}{baseline}.filelist.csv", f"{url}{basename}{baseline}.tar.gz")
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for baseline in baselines
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]
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# Incremental
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date_delta = datetime.date.today() - datetime.date.fromisoformat(_BASELINE_DATE)
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incremental_dates = [
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(f"{url}{basename}{incremental}.filelist.csv", f"{url}{basename}{incremental}.tar.gz")
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for incremental in incrementals
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]
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paths += dl_manager.download(baseline_urls + incremental_urls)
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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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"paths": [(file_list, dl_manager.iter_archive(archive)) for file_list, archive in paths],
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},
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),
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]
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def _generate_examples(self, paths):
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key = 0
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for file_list, archive in paths:
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file_list_data = pd.read_csv(file_list, index_col="Article File").to_dict(orient="index")
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for path, file in archive:
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data = file_list_data.pop(path)
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content = file.read()
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try:
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text = content.decode("utf-8").strip()
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}
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yield key, data
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key += 1
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