Datasets:
Tasks:
Question Answering
Modalities:
Text
Sub-tasks:
extractive-qa
Languages:
code
Size:
100K - 1M
License:
Refactor data load script with correct features
Browse files- codequeries.py +12 -9
codequeries.py
CHANGED
@@ -136,14 +136,15 @@ class Codequeries(datasets.GeneratorBasedBuilder):
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features = {}
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features["query_name"] = datasets.Value("string")
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features["code_file_path"] = datasets.Value("string")
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features["answer_spans"] = [
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{
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'span': datasets.Value("string"),
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@@ -166,7 +167,8 @@ class Codequeries(datasets.GeneratorBasedBuilder):
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features["single_hop"] = datasets.Value("bool")
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features["subtokenized_input_sequence"] = datasets.features.Sequence(datasets.Value("string"))
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features["label_sequence"] = datasets.features.Sequence(datasets.Value("int8"))
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return datasets.DatasetInfo(
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description=self.config.description,
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@@ -220,6 +222,7 @@ class Codequeries(datasets.GeneratorBasedBuilder):
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if self.config.name == "twostep":
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key = 0
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for fp in filepath:
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with open(fp, encoding="utf-8") as f:
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for line in f:
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features = {}
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features["query_name"] = datasets.Value("string")
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features["code_file_path"] = datasets.Value("string")
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+
if self.config.name != "prefix":
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features["context_blocks"] = [
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{
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"content": datasets.Value("string"),
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"metadata": datasets.Value("string"),
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"header": datasets.Value("string"),
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"index": datasets.Value("int32")
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}
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]
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features["answer_spans"] = [
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{
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'span': datasets.Value("string"),
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features["single_hop"] = datasets.Value("bool")
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features["subtokenized_input_sequence"] = datasets.features.Sequence(datasets.Value("string"))
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features["label_sequence"] = datasets.features.Sequence(datasets.Value("int8"))
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if self.config.name == "twostep":
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features["relevance_label"] = datasets.Value("int8")
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return datasets.DatasetInfo(
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description=self.config.description,
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if self.config.name == "twostep":
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key = 0
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+
print('File paths: ', filepath)
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for fp in filepath:
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with open(fp, encoding="utf-8") as f:
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for line in f:
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