| --- |
| annotations_creators: |
| - found |
| language_creators: |
| - found |
| language: |
| - da |
| - en |
| - lv |
| - nb |
| - zh |
| license: |
| - c-uda |
| multilinguality: |
| - multilingual |
| size_categories: |
| - 10K<n<100K |
| source_datasets: |
| - original |
| task_categories: |
| - translation |
| task_ids: [] |
| pretty_name: CodeXGlueTtTextToText |
| tags: |
| - code-documentation-translation |
| dataset_info: |
| - config_name: da_en |
| features: |
| - name: id |
| dtype: int32 |
| - name: source |
| dtype: string |
| - name: target |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 8163175 |
| num_examples: 42701 |
| - name: validation |
| num_bytes: 190332 |
| num_examples: 1000 |
| - name: test |
| num_bytes: 190772 |
| num_examples: 1000 |
| download_size: 4322666 |
| dataset_size: 8544279 |
| - config_name: lv_en |
| features: |
| - name: id |
| dtype: int32 |
| - name: source |
| dtype: string |
| - name: target |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 3644111 |
| num_examples: 18749 |
| - name: validation |
| num_bytes: 192511 |
| num_examples: 1000 |
| - name: test |
| num_bytes: 190867 |
| num_examples: 1000 |
| download_size: 1997959 |
| dataset_size: 4027489 |
| - config_name: no_en |
| features: |
| - name: id |
| dtype: int32 |
| - name: source |
| dtype: string |
| - name: target |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 8761795 |
| num_examples: 44322 |
| - name: validation |
| num_bytes: 203823 |
| num_examples: 1000 |
| - name: test |
| num_bytes: 197135 |
| num_examples: 1000 |
| download_size: 8606833 |
| dataset_size: 9162753 |
| - config_name: zh_en |
| features: |
| - name: id |
| dtype: int32 |
| - name: source |
| dtype: string |
| - name: target |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 9592196 |
| num_examples: 50154 |
| - name: validation |
| num_bytes: 192155 |
| num_examples: 1000 |
| - name: test |
| num_bytes: 195245 |
| num_examples: 1000 |
| download_size: 9353684 |
| dataset_size: 9979596 |
| configs: |
| - config_name: da_en |
| data_files: |
| - split: train |
| path: da_en/train-* |
| - split: validation |
| path: da_en/validation-* |
| - split: test |
| path: da_en/test-* |
| - config_name: lv_en |
| data_files: |
| - split: train |
| path: lv_en/train-* |
| - split: validation |
| path: lv_en/validation-* |
| - split: test |
| path: lv_en/test-* |
| --- |
| # Dataset Card for "code_x_glue_tt_text_to_text" |
|
|
| ## 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-Text/text-to-text |
| - **Paper:** https://arxiv.org/abs/2102.04664 |
|
|
| ### 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{DBLP:journals/corr/abs-2102-04664, |
| author = {Shuai Lu and |
| Daya Guo and |
| Shuo Ren and |
| Junjie Huang and |
| Alexey Svyatkovskiy and |
| Ambrosio Blanco and |
| Colin B. Clement and |
| Dawn Drain and |
| Daxin Jiang and |
| Duyu Tang and |
| Ge Li and |
| Lidong Zhou and |
| Linjun Shou and |
| Long Zhou and |
| Michele Tufano and |
| Ming Gong and |
| Ming Zhou and |
| Nan Duan and |
| Neel Sundaresan and |
| Shao Kun Deng and |
| Shengyu Fu and |
| Shujie Liu}, |
| title = {CodeXGLUE: {A} Machine Learning Benchmark Dataset for Code Understanding |
| and Generation}, |
| journal = {CoRR}, |
| volume = {abs/2102.04664}, |
| year = {2021} |
| } |
| ``` |
|
|
| ### Contributions |
|
|
| Thanks to @madlag (and partly also @ncoop57) for adding this dataset. |
