Datasets:
Tasks:
Question Answering
Modalities:
Text
Sub-tasks:
extractive-qa
Languages:
code
Size:
100K<n<1M
License:
| 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 | |
| - [Table of Contents](#table-of-contents) | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## Dataset Description | |
| - **Homepage:** | |
| - **Repository:** [Code repo](https://github.com/adityakanade/natural-cubert/) | |
| - **Paper:** | |
| ### 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](https://github.com/<github-username>) for adding this dataset. |