Datasets:

google
/

code_x_glue_tc_text_to_code

	---
	annotations_creators:
	- found
	language_creators:
	- found
	language:
	- code
	- en
	license:
	- c-uda
	multilinguality:
	- other-programming-languages
	size_categories:
	- 100K<n<1M
	source_datasets:
	- original
	task_categories:
	- translation
	task_ids: []
	pretty_name: CodeXGlueTcTextToCode
	tags:
	- text-to-code
	dataset_info:
	features:
	- name: id
	dtype: int32
	- name: nl
	dtype: string
	- name: code
	dtype: string
	splits:
	- name: train
	num_bytes: 96225531
	num_examples: 100000
	- name: validation
	num_bytes: 1749743
	num_examples: 2000
	- name: test
	num_bytes: 1609298
	num_examples: 2000
	download_size: 34258354
	dataset_size: 99584572
	configs:
	- config_name: default
	data_files:
	- split: train
	path: data/train-*
	- split: validation
	path: data/validation-*
	- split: test
	path: data/test-*
	---
	# Dataset Card for "code_x_glue_tc_text_to_code"

	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits-sample-size)
	- [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: https://github.com/microsoft/CodeXGLUE/tree/main/Text-Code/text-to-code

	### Dataset Summary

	CodeXGLUE text-to-code dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Text-Code/text-to-code

	The dataset we use is crawled and filtered from Microsoft Documentation, whose document located at https://github.com/MicrosoftDocs/.

	### Supported Tasks and Leaderboards

	- `machine-translation`: The dataset can be used to train a model for generating Java code from an English natural language description.

	### Languages

	- Java programming language

	## Dataset Structure

	### Data Instances

	An example of 'train' looks as follows.
	```
	{
	"code": "boolean function ( ) { return isParsed ; }",
	"id": 0,
	"nl": "check if details are parsed . concode_field_sep Container parent concode_elem_sep boolean isParsed concode_elem_sep long offset concode_elem_sep long contentStartPosition concode_elem_sep ByteBuffer deadBytes concode_elem_sep boolean isRead concode_elem_sep long memMapSize concode_elem_sep Logger LOG concode_elem_sep byte[] userType concode_elem_sep String type concode_elem_sep ByteBuffer content concode_elem_sep FileChannel fileChannel concode_field_sep Container getParent concode_elem_sep byte[] getUserType concode_elem_sep void readContent concode_elem_sep long getOffset concode_elem_sep long getContentSize concode_elem_sep void getContent concode_elem_sep void setDeadBytes concode_elem_sep void parse concode_elem_sep void getHeader concode_elem_sep long getSize concode_elem_sep void parseDetails concode_elem_sep String getType concode_elem_sep void _parseDetails concode_elem_sep String getPath concode_elem_sep boolean verify concode_elem_sep void setParent concode_elem_sep void getBox concode_elem_sep boolean isSmallBox"
	}
	```

	### Data Fields

	In the following each data field in go is explained for each config. The data fields are the same among all splits.

	#### default

	\|field name\| type \| description \|
	\|----------\|------\|---------------------------------------------\|
	\|id \|int32 \| Index of the sample \|
	\|nl \|string\| The natural language description of the task\|
	\|code \|string\| The programming source code for the task \|

	### Data Splits

	\| name \|train \|validation\|test\|
	\|-------\|-----:\|---------:\|---:\|
	\|default\|100000\| 2000\|2000\|

	## 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

	https://github.com/microsoft, https://github.com/madlag

	### Licensing Information

	Computational Use of Data Agreement (C-UDA) License.

	### Citation Information

	```
	@article{iyer2018mapping,
	title={Mapping language to code in programmatic context},
	author={Iyer, Srinivasan and Konstas, Ioannis and Cheung, Alvin and Zettlemoyer, Luke},
	journal={arXiv preprint arXiv:1808.09588},
	year={2018}
	}
	```

	### Contributions

	Thanks to @madlag (and partly also @ncoop57) for adding this dataset.