Multilinguality: multilingual
Size Categories: 10K<n<100K
Licenses: other-C-UDA
Language Creators: found
Annotations Creators: found
Source Datasets: original

Dataset Card for "code_x_glue_tt_text_to_text"

Dataset Summary

CodeXGLUE text-to-text dataset, available at

The dataset we use is crawled and filtered from Microsoft Documentation, whose document located at

Supported Tasks and Leaderboards

  • machine-translation: The dataset can be used to train a model for translating Technical documentation between languages.


da_en, lv_en, no_en, zh_en

Dataset Structure

Data Instances


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"


An example of 'train' looks as follows.

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


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"


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": "&#124; MCDUserNotificationReadStateFilterAny &#124; 0 &#124; Include notifications regardless of read state . &#124;\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]


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,

Licensing Information

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

Citation Information

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


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

Models trained or fine-tuned on code_x_glue_tt_text_to_text

None yet