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Datasets:
thepurpleowl
/
codequeries

Tasks:
Question Answering
Modalities:
Text
Sub-tasks:
extractive-qa
Languages:
code
Size:
100K - 1M
Tags:
neural modeling of code
code question answering
code semantic understanding
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
sps commited on
Commit
9fa7b76
·
1 Parent(s): 59f692e

Update data script - make a list of spans

Browse files
Files changed (1) hide show
  1. codequeries.py +15 -18
codequeries.py CHANGED
@@ -137,28 +137,25 @@ class Codequeries(datasets.GeneratorBasedBuilder):
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  "header": datasets.Value("string")
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  }
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  )
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- features["answer_spans"] = datasets.features.Sequence(
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  {
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- "answer_span": {
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- 'span': datasets.Value("string"),
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- 'start_line': datasets.Value("int32"),
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- 'start_column': datasets.Value("int32"),
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- 'end_line': datasets.Value("int32"),
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- 'end_column': datasets.Value("int32")
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- }
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  }
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- )
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- features["supporting_fact_spans"] = datasets.features.Sequence(
 
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  {
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- "supporting_fact_span": {
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- 'span': datasets.Value("string"),
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- 'start_line': datasets.Value("int32"),
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- 'start_column': datasets.Value("int32"),
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- 'end_line': datasets.Value("int32"),
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- 'end_column': datasets.Value("int32")
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- }
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  }
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- )
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  features["code_file_path"] = datasets.Value("string")
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  features["example_type"] = datasets.Value("int32")
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  features["subtokenized_input_sequence"] = datasets.features.Sequence(datasets.Value("string"))
 
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  "header": datasets.Value("string")
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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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+ 'start_line': datasets.Value("int32"),
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+ 'start_column': datasets.Value("int32"),
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+ 'end_line': datasets.Value("int32"),
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+ 'end_column': datasets.Value("int32")
 
 
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  }
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+ ]
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+
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+ features["supporting_fact_spans"] = [
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  {
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+ 'span': datasets.Value("string"),
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+ 'start_line': datasets.Value("int32"),
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+ 'start_column': datasets.Value("int32"),
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+ 'end_line': datasets.Value("int32"),
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+ 'end_column': datasets.Value("int32")
 
 
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  }
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+ ]
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  features["code_file_path"] = datasets.Value("string")
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  features["example_type"] = datasets.Value("int32")
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  features["subtokenized_input_sequence"] = datasets.features.Sequence(datasets.Value("string"))