Convert dataset to Parquet (#5)

- Convert dataset to Parquet (47b5113460d5546d36e624e92d3f05dcfc8d2bad)
- Add java data files (132d471ffed79f85987fbf87d185e4b566e364a4)
- Add javascript data files (f1d1c458f254351b837c542cffdc8d688b5fb438)
- Add php data files (63fb0ee869729c9171f3dd354678d665d32db222)
- Add python data files (86b786f7a6a185f7506801ee727610770c5d08e1)
- Add ruby data files (e805461fb7fb366762f045a20ca5cf68458f9de4)
- Delete loading script (87eae9979d842618e595029c495f1829cace5040)
- Delete loading script auxiliary file (9377f91f35085af8875eb96578768b3de99d28fb)
- Delete loading script auxiliary file (6013ac2dd252b219f767072ff2987d0fc35fb548)

README.md

@@ -19,6 +19,13 @@ task_categories:
 - translation
 task_ids: []
 pretty_name: CodeXGlueCtCodeToText
+config_names:
+- go
+- java
+- javascript
+- php
+- python
+- ruby
 tags:
 - code-to-text
 dataset_info:
@@ -50,16 +57,16 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 342244027
+    num_bytes: 342243143
     num_examples: 167288
   - name: validation
-    num_bytes: 13721912
+    num_bytes: 13721860
     num_examples: 7325
   - name: test
-    num_bytes: 16328458
+    num_bytes: 16328406
     num_examples: 8122
-  download_size: 499922799
-  dataset_size: 372294397
+  download_size: 121341698
+  dataset_size: 372293409
 - config_name: java
   features:
   - name: id
@@ -88,16 +95,16 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 452554719
+    num_bytes: 452553835
     num_examples: 164923
   - name: validation
-    num_bytes: 13366396
+    num_bytes: 13366344
     num_examples: 5183
   - name: test
-    num_bytes: 29080857
+    num_bytes: 29080753
     num_examples: 10955
-  download_size: 1072966017
-  dataset_size: 495001972
+  download_size: 154701399
+  dataset_size: 495000932
 - config_name: javascript
   features:
   - name: id
@@ -126,16 +133,16 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 160860743
+    num_bytes: 160860431
     num_examples: 58025
   - name: validation
-    num_bytes: 10337396
+    num_bytes: 10337344
     num_examples: 3885
   - name: test
-    num_bytes: 10190765
+    num_bytes: 10190713
     num_examples: 3291
-  download_size: 1677110214
-  dataset_size: 181388904
+  download_size: 65788314
+  dataset_size: 181388488
 - config_name: php
   features:
   - name: id
@@ -164,16 +171,16 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 614655799
+    num_bytes: 614654499
     num_examples: 241241
   - name: validation
-    num_bytes: 33283149
+    num_bytes: 33283045
     num_examples: 12982
   - name: test
-    num_bytes: 35375097
+    num_bytes: 35374993
     num_examples: 14014
-  download_size: 864290912
-  dataset_size: 683314045
+  download_size: 219692158
+  dataset_size: 683312537
 - config_name: python
   features:
   - name: id
@@ -202,16 +209,16 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 813664500
+    num_bytes: 813663148
     num_examples: 251820
   - name: validation
-    num_bytes: 46888668
+    num_bytes: 46888564
     num_examples: 13914
   - name: test
-    num_bytes: 50659792
+    num_bytes: 50659688
     num_examples: 14918
-  download_size: 953306861
-  dataset_size: 911212960
+  download_size: 325551862
+  dataset_size: 911211400
 - config_name: ruby
   features:
   - name: id
@@ -240,23 +247,65 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 51956595
+    num_bytes: 51956439
     num_examples: 24927
   - name: validation
-    num_bytes: 2821089
+    num_bytes: 2821037
     num_examples: 1400
   - name: test
-    num_bytes: 2671603
+    num_bytes: 2671551
     num_examples: 1261
-  download_size: 124154892
-  dataset_size: 57449287
-config_names:
-- go
-- java
-- javascript
-- php
-- python
-- ruby
+  download_size: 21921316
+  dataset_size: 57449027
+configs:
+- config_name: go
+  data_files:
+  - split: train
+    path: go/train-*
+  - split: validation
+    path: go/validation-*
+  - split: test
+    path: go/test-*
+- config_name: java
+  data_files:
+  - split: train
+    path: java/train-*
+  - split: validation
+    path: java/validation-*
+  - split: test
+    path: java/test-*
+- config_name: javascript
+  data_files:
+  - split: train
+    path: javascript/train-*
+  - split: validation
+    path: javascript/validation-*
+  - split: test
+    path: javascript/test-*
+- config_name: php
+  data_files:
+  - split: train
+    path: php/train-*
+  - split: validation
+    path: php/validation-*
+  - split: test
+    path: php/test-*
+- config_name: python
+  data_files:
+  - split: train
+    path: python/train-*
+  - split: validation
+    path: python/validation-*
+  - split: test
+    path: python/test-*
+- config_name: ruby
+  data_files:
+  - split: train
+    path: ruby/train-*
+  - split: validation
+    path: ruby/validation-*
+  - split: test
+    path: ruby/test-*
 ---
 # Dataset Card for "code_x_glue_ct_code_to_text"
 

code_x_glue_ct_code_to_text.py

@@ -1,155 +0,0 @@
-import json
-import os
-import os.path
-from typing import List
-
-import datasets
-
-from .common import TrainValidTestChild
-from .generated_definitions import DEFINITIONS
-
-
-_DESCRIPTION = """The dataset we use comes from CodeSearchNet and we filter the dataset as the following:
-- Remove examples that codes cannot be parsed into an abstract syntax tree.
-- Remove examples that #tokens of documents is < 3 or >256
-- Remove examples that documents contain special tokens (e.g. <img ...> or https:...)
-- Remove examples that documents are not English.
-"""
-_CITATION = """@article{husain2019codesearchnet,
-title={Codesearchnet challenge: Evaluating the state of semantic code search},
-author={Husain, Hamel and Wu, Ho-Hsiang and Gazit, Tiferet and Allamanis, Miltiadis and Brockschmidt, Marc},
-journal={arXiv preprint arXiv:1909.09436},
-year={2019}
-}"""
-
-
-class CodeXGlueCtCodeToTextBaseImpl(TrainValidTestChild):
-    _DESCRIPTION = _DESCRIPTION
-    _CITATION = _CITATION
-
-    # For each file, each line in the uncompressed file represents one function.
-    _FEATURES = {
-        "id": datasets.Value("int32"),  # Index of the sample
-        "repo": datasets.Value("string"),  # repo: the owner/repo
-        "path": datasets.Value("string"),  # path: the full path to the original file
-        "func_name": datasets.Value("string"),  # func_name: the function or method name
-        "original_string": datasets.Value("string"),  # original_string: the raw string before tokenization or parsing
-        "language": datasets.Value("string"),  # language: the programming language name
-        "code": datasets.Value("string"),  # code/function: the part of the original_string that is code
-        "code_tokens": datasets.features.Sequence(
-            datasets.Value("string")
-        ),  # code_tokens/function_tokens: tokenized version of code
-        "docstring": datasets.Value(
-            "string"
-        ),  # docstring: the top-level comment or docstring, if it exists in the original string
-        "docstring_tokens": datasets.features.Sequence(
-            datasets.Value("string")
-        ),  # docstring_tokens: tokenized version of docstring
-        "sha": datasets.Value("string"),  # sha of the file
-        "url": datasets.Value("string"),  # url of the file
-    }
-
-    _SUPERVISED_KEYS = ["docstring", "docstring_tokens"]
-
-    def generate_urls(self, split_name, language):
-        yield "language", f"https://huggingface.co/datasets/code_search_net/resolve/main/data/{language}.zip"
-        yield "dataset", "dataset.zip"
-
-    def get_data_files(self, split_name, file_paths, language):
-        language_specific_path = file_paths["language"]
-        final_path = os.path.join(language_specific_path, language, "final")
-        # Make some cleanup to save space
-        for path in os.listdir(final_path):
-            if path.endswith(".pkl"):
-                os.unlink(path)
-
-        data_files = []
-        for root, dirs, files in os.walk(final_path):
-            for file in files:
-                temp = os.path.join(root, file)
-                if ".jsonl" in temp:
-                    if split_name in temp:
-                        data_files.append(temp)
-        return data_files
-
-    def post_process(self, split_name, language, js):
-        return js
-
-    def _generate_examples(self, split_name, file_paths, language):
-        import gzip
-
-        data_set_path = file_paths["dataset"]
-
-        data_files = self.get_data_files(split_name, file_paths, language)
-
-        urls = {}
-        f1_path_parts = [data_set_path, "dataset", language, f"{split_name}.txt"]
-        if self.SINGLE_LANGUAGE:
-            del f1_path_parts[2]
-
-        f1_path = os.path.join(*f1_path_parts)
-        with open(f1_path, encoding="utf-8") as f1:
-            for line in f1:
-                line = line.strip()
-                urls[line] = True
-
-        idx = 0
-        for file in data_files:
-            if ".gz" in file:
-                f = gzip.open(file)
-            else:
-                f = open(file, encoding="utf-8")
-
-            for line in f:
-                line = line.strip()
-                js = json.loads(line)
-                if js["url"] in urls:
-                    js["id"] = idx
-                    js = self.post_process(split_name, language, js)
-                    if "partition" in js:
-                        del js["partition"]
-                    yield idx, js
-                    idx += 1
-            f.close()
-
-
-class CodeXGlueCtCodeToTextImpl(CodeXGlueCtCodeToTextBaseImpl):
-    SINGLE_LANGUAGE = False
-
-    def generate_urls(self, split_name):
-        language = self.info["parameters"]["language"]
-        for e in super().generate_urls(split_name, language):
-            yield e
-
-    def _generate_examples(self, split_name, file_paths):
-        language = self.info["parameters"]["language"]
-        for e in super()._generate_examples(split_name, file_paths, language):
-            yield e
-
-
-CLASS_MAPPING = {
-    "CodeXGlueCtCodeToText": CodeXGlueCtCodeToTextImpl,
-}
-
-
-class CodeXGlueCtCodeToText(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

@@ -1,75 +0,0 @@
-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,
-    }

generated_definitions.py

@@ -1,68 +0,0 @@
-DEFINITIONS = {
-    "go": {
-        "class_name": "CodeXGlueCtCodeToText",
-        "dataset_type": "Code-Text",
-        "description": "CodeXGLUE code-to-text dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Text/code-to-text",
-        "dir_name": "code-to-text",
-        "name": "go",
-        "parameters": {"language": "go"},
-        "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Text/code-to-text",
-        "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Text/code-to-text",
-        "sizes": {"test": 8122, "train": 167288, "validation": 7325},
-    },
-    "java": {
-        "class_name": "CodeXGlueCtCodeToText",
-        "dataset_type": "Code-Text",
-        "description": "CodeXGLUE code-to-text dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Text/code-to-text",
-        "dir_name": "code-to-text",
-        "name": "java",
-        "parameters": {"language": "java"},
-        "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Text/code-to-text",
-        "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Text/code-to-text",
-        "sizes": {"test": 10955, "train": 164923, "validation": 5183},
-    },
-    "javascript": {
-        "class_name": "CodeXGlueCtCodeToText",
-        "dataset_type": "Code-Text",
-        "description": "CodeXGLUE code-to-text dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Text/code-to-text",
-        "dir_name": "code-to-text",
-        "name": "javascript",
-        "parameters": {"language": "javascript"},
-        "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Text/code-to-text",
-        "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Text/code-to-text",
-        "sizes": {"test": 3291, "train": 58025, "validation": 3885},
-    },
-    "php": {
-        "class_name": "CodeXGlueCtCodeToText",
-        "dataset_type": "Code-Text",
-        "description": "CodeXGLUE code-to-text dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Text/code-to-text",
-        "dir_name": "code-to-text",
-        "name": "php",
-        "parameters": {"language": "php"},
-        "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Text/code-to-text",
-        "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Text/code-to-text",
-        "sizes": {"test": 14014, "train": 241241, "validation": 12982},
-    },
-    "python": {
-        "class_name": "CodeXGlueCtCodeToText",
-        "dataset_type": "Code-Text",
-        "description": "CodeXGLUE code-to-text dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Text/code-to-text",
-        "dir_name": "code-to-text",
-        "name": "python",
-        "parameters": {"language": "python"},
-        "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Text/code-to-text",
-        "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Text/code-to-text",
-        "sizes": {"test": 14918, "train": 251820, "validation": 13914},
-    },
-    "ruby": {
-        "class_name": "CodeXGlueCtCodeToText",
-        "dataset_type": "Code-Text",
-        "description": "CodeXGLUE code-to-text dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Text/code-to-text",
-        "dir_name": "code-to-text",
-        "name": "ruby",
-        "parameters": {"language": "ruby"},
-        "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Text/code-to-text",
-        "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Text/code-to-text",
-        "sizes": {"test": 1261, "train": 24927, "validation": 1400},
-    },
-}

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ruby/train-00000-of-00001.parquet

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ruby/validation-00000-of-00001.parquet

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