codequeries / README.md
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metadata
annotations_creators:
  - expert-generated
language:
  - code
language_creators:
  - found
license:
  - mit
multilinguality:
  - monolingual
pretty_name: codequeries
size_categories:
  - 100K<n<1M
source_datasets:
  - original
tags:
  - code
  - code question answering
  - code semantic parsing
  - codeqa
task_categories:
  - question-answering
task_ids:
  - extractive-qa

Dataset Card for [Dataset Name]

Table of Contents

Dataset Description

Dataset Summary

CodeQueries allows to explore extractive question-answering methodology over code by providing semantic queries as question and answer pairs over code context involving complex concepts and long chains of reasoning.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

The code section have taken from python files.

Dataset Structure

Data Instances

All splits of all settings have same format. An example looks as follows -


Data Fields

  • examples
    • query_name (query name to uniquely identify the query)
    • context_blocks (code blocks supplied as input to the model for prediction)
    • answer_spans (code in answer spans)
    • supporting_fact_spans (code in supporting-fact spans)
    • code_file_path (relative source file path w.r.t. ETH Py150 corpus)
    • example_type (positive(1) or negative(0) example type)
    • subtokenized_input_sequence (example subtokens)
    • label_sequence (example subtoken labels)

Data Splits

train validation test
ideal 9427 3270 3245
prefix - - 3245
sliding_window - - 3245
file_ideal - - 3245
twostep - - 3245

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

Thanks to @github-username for adding this dataset.