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README.md

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----
-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: 96225611
-    num_examples: 100000
-  - name: validation
-    num_bytes: 1749751
-    num_examples: 2000
-  - name: test
-    num_bytes: 1609306
-    num_examples: 2000
-  download_size: 100769638
-  dataset_size: 99584668
----
-# 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.

code_x_glue_tc_text_to_code.py

@@ -1,69 +0,0 @@
-import json
-from typing import List
-
-import datasets
-
-from .common import Child
-from .generated_definitions import DEFINITIONS
-
-
-_DESCRIPTION = """We use concode dataset which is a widely used code generation dataset from Iyer's EMNLP 2018 paper Mapping Language to Code in Programmatic Context. See paper for details."""
-_CITATION = """@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}
-}"""
-
-
-class CodeXGlueTcTextToCodeImpl(Child):
-    _DESCRIPTION = _DESCRIPTION
-    _CITATION = _CITATION
-
-    _FEATURES = {
-        "id": datasets.Value("int32"),  # Index of the sample
-        "nl": datasets.Value("string"),  # The natural language description of the task
-        "code": datasets.Value("string"),  # The programming source code for the task
-    }
-
-    _SUPERVISED_KEYS = ["code"]
-
-    SPLITS = {"train": datasets.Split.TRAIN, "dev": datasets.Split.VALIDATION, "test": datasets.Split.TEST}
-
-    def generate_urls(self, split_name):
-        yield "data", f"concode/{split_name}.json"
-
-    def _generate_examples(self, split_name, file_paths):
-        with open(file_paths["data"], encoding="utf-8") as f:
-            for idx, line in enumerate(f):
-                entry = json.loads(line)
-                entry["id"] = idx
-                yield idx, entry
-
-
-CLASS_MAPPING = {
-    "CodeXGlueTcTextToCode": CodeXGlueTcTextToCodeImpl,
-}
-
-
-class CodeXGlueTcTextToCode(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIG_CLASS = datasets.BuilderConfig
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name=name, description=info["description"]) for name, info in DEFINITIONS.items()
-    ]
-
-    def _info(self):
-        name = self.config.name
-        info = DEFINITIONS[name]
-        if info["class_name"] in CLASS_MAPPING:
-            self.child = CLASS_MAPPING[info["class_name"]](info)
-        else:
-            raise RuntimeError(f"Unknown python class for dataset configuration {name}")
-        ret = self.child._info()
-        return ret
-
-    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
-        return self.child._split_generators(dl_manager=dl_manager)
-
-    def _generate_examples(self, split_name, file_paths):
-        return self.child._generate_examples(split_name, file_paths)

common.py

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-from typing import List
-
-import datasets
-
-
-# Citation, taken from https://github.com/microsoft/CodeXGLUE
-_DEFAULT_CITATION = """@article{CodeXGLUE,
-         title={CodeXGLUE: A Benchmark Dataset and Open Challenge for Code Intelligence},
-         year={2020},}"""
-
-
-class Child:
-    _DESCRIPTION = None
-    _FEATURES = None
-    _CITATION = None
-    SPLITS = {"train": datasets.Split.TRAIN}
-    _SUPERVISED_KEYS = None
-
-    def __init__(self, info):
-        self.info = info
-
-    def homepage(self):
-        return self.info["project_url"]
-
-    def _info(self):
-        # This is the description that will appear on the datasets page.
-        return datasets.DatasetInfo(
-            description=self.info["description"] + "\n\n" + self._DESCRIPTION,
-            features=datasets.Features(self._FEATURES),
-            homepage=self.homepage(),
-            citation=self._CITATION or _DEFAULT_CITATION,
-            supervised_keys=self._SUPERVISED_KEYS,
-        )
-
-    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
-        SPLITS = self.SPLITS
-        _URL = self.info["raw_url"]
-        urls_to_download = {}
-        for split in SPLITS:
-            if split not in urls_to_download:
-                urls_to_download[split] = {}
-
-            for key, url in self.generate_urls(split):
-                if not url.startswith("http"):
-                    url = _URL + "/" + url
-                urls_to_download[split][key] = url
-
-        downloaded_files = {}
-        for k, v in urls_to_download.items():
-            downloaded_files[k] = dl_manager.download_and_extract(v)
-
-        return [
-            datasets.SplitGenerator(
-                name=SPLITS[k],
-                gen_kwargs={"split_name": k, "file_paths": downloaded_files[k]},
-            )
-            for k in SPLITS
-        ]
-
-    def check_empty(self, entries):
-        all_empty = all([v == "" for v in entries.values()])
-        all_non_empty = all([v != "" for v in entries.values()])
-
-        if not all_non_empty and not all_empty:
-            raise RuntimeError("Parallel data files should have the same number of lines.")
-
-        return all_empty
-
-
-class TrainValidTestChild(Child):
-    SPLITS = {
-        "train": datasets.Split.TRAIN,
-        "valid": datasets.Split.VALIDATION,
-        "test": datasets.Split.TEST,
-    }

dataset_infos.json

@@ -1 +0,0 @@
-{"default": {"description": "CodeXGLUE text-to-code dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Text-Code/text-to-code\n\nWe use concode dataset which is a widely used code generation dataset from Iyer's EMNLP 2018 paper Mapping Language to Code in Programmatic Context. See paper for details.", "citation": "@article{iyer2018mapping,\ntitle={Mapping language to code in programmatic context},\nauthor={Iyer, Srinivasan and Konstas, Ioannis and Cheung, Alvin and Zettlemoyer, Luke},\njournal={arXiv preprint arXiv:1808.09588},\nyear={2018}\n}", "homepage": "https://github.com/madlag/CodeXGLUE/tree/main/Text-Code/text-to-code", "license": "", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "nl": {"dtype": "string", "id": null, "_type": "Value"}, "code": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "code", "output": ""}, "task_templates": null, "builder_name": "code_x_glue_tc_text_to_code", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 96225611, "num_examples": 100000, "dataset_name": "code_x_glue_tc_text_to_code"}, "validation": {"name": "validation", "num_bytes": 1749751, "num_examples": 2000, "dataset_name": "code_x_glue_tc_text_to_code"}, "test": {"name": "test", "num_bytes": 1609306, "num_examples": 2000, "dataset_name": "code_x_glue_tc_text_to_code"}}, "download_checksums": {"https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Text-Code/text-to-code/dataset/concode/train.json": {"num_bytes": 97365680, "checksum": "a130f375c415932ffe0188e76b3c8aaef92b1b52d228e342328657b9ae97f17f"}, "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Text-Code/text-to-code/dataset/concode/dev.json": {"num_bytes": 1772646, "checksum": "cd4f91cfaa12a886a1d7acaf92eaf8ab066845c37a9221e56634d345958c922a"}, "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Text-Code/text-to-code/dataset/concode/test.json": {"num_bytes": 1631312, "checksum": "3323b1d723c2183a0ef4693413d25ef5a6b988b50b37b2f401de6c2c5c55159f"}}, "download_size": 100769638, "post_processing_size": null, "dataset_size": 99584668, "size_in_bytes": 200354306}}

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generated_definitions.py

@@ -1,12 +0,0 @@
-DEFINITIONS = {
-    "default": {
-        "class_name": "CodeXGlueTcTextToCode",
-        "dataset_type": "Text-Code",
-        "description": "CodeXGLUE text-to-code dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Text-Code/text-to-code",
-        "dir_name": "text-to-code",
-        "name": "default",
-        "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Text-Code/text-to-code",
-        "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Text-Code/text-to-code/dataset",
-        "sizes": {"test": 2000, "train": 100000, "validation": 2000},
-    }
-}