README.md

metadata

annotations_creators:
  - found
language_creators:
  - found
languages:
  - da
  - nb
  - lv
  - zh
  - en
licenses:
  - other-C-UDA
multilinguality:
  - multilingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - conditional-text-generation
task_ids:
  - machine-translation
pretty_name: CodeXGlueTtTextToText

Dataset Card for "code_x_glue_tt_text_to_text"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://github.com/microsoft/CodeXGLUE/tree/main/Text-Text/text-to-text

Dataset Summary

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

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 translating Technical documentation between languages.

Languages

da_en, lv_en, no_en, zh_en

Dataset Structure

Data Instances

da_en

An example of 'test' looks as follows.

{
    "id": 0, 
    "source": "4 . K\u00f8r modellen , og udgiv den som en webtjeneste .\n", 
    "target": "4 . Run the model , and publish it as a web service .\n"
}

lv_en

An example of 'train' looks as follows.

{
    "id": 0, 
    "source": "title : Pakalpojumu objektu izveide\n", 
    "target": "title : Create service objects\n"
}

no_en

An example of 'validation' looks as follows.

{
    "id": 0, 
    "source": "2 . \u00c5pne servicevaren du vil definere komponenter fra en stykkliste for .\n", 
    "target": "2 . Open the service item for which you want to set up components from a BOM .\n"
}

zh_en

An example of 'validation' looks as follows.

{
    "id": 0, 
    "source": "& # 124 ; MCDUserNotificationReadStateFilterAny & # 124 ; 0 & # 124 ; \u5305\u62ec \u901a\u77e5 , \u800c \u4e0d \u8003\u8651 \u8bfb\u53d6 \u72b6\u6001 \u3002 & # 124 ;\n", 
    "target": "| MCDUserNotificationReadStateFilterAny | 0 | Include notifications regardless of read state . |\n"
}

Data Fields

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

da_en, lv_en, no_en, zh_en

field name	type	description
id	int32	The index of the sample
source	string	The source language version of the text
target	string	The target language version of the text

Data Splits

name	train	validation	test
da_en	42701	1000	1000
lv_en	18749	1000	1000
no_en	44322	1000	1000
zh_en	50154	1000	1000

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{CodeXGLUE,
         title={CodeXGLUE: A Benchmark Dataset and Open Challenge for Code Intelligence},
         year={2020},}

Contributions

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