albertvillanova HF staff commited on
Commit
69bd48c
1 Parent(s): 33216bd

Convert dataset to Parquet (#3)

Browse files

- Convert dataset to Parquet (a618859d5c7a7aed0c495d4b9578fd64b77475b4)
- Delete loading script (e5bc9f04f53ed043139d789b7a7490a503bb7763)
- Delete loading script auxiliary file (99c7ac386ba24b7411832d80e9eb9c5897ae9a9a)
- Delete loading script auxiliary file (6f91e2cd21a741b56f5f80fed63079c98c27f1f5)

README.md CHANGED
@@ -32,16 +32,25 @@ dataset_info:
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  dtype: string
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  splits:
34
  - name: train
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- num_bytes: 45723487
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  num_examples: 21854
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  - name: validation
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- num_bytes: 5582545
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  num_examples: 2732
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  - name: test
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- num_bytes: 5646752
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  num_examples: 2732
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- download_size: 61685715
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- dataset_size: 56952784
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for "code_x_glue_cc_defect_detection"
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  dtype: string
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  splits:
34
  - name: train
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+ num_bytes: 45723451
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  num_examples: 21854
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  - name: validation
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+ num_bytes: 5582533
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  num_examples: 2732
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  - name: test
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+ num_bytes: 5646740
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  num_examples: 2732
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+ download_size: 22289955
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+ dataset_size: 56952724
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ - split: validation
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+ path: data/validation-*
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+ - split: test
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+ path: data/test-*
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  ---
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  # Dataset Card for "code_x_glue_cc_defect_detection"
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code_x_glue_cc_defect_detection.py DELETED
@@ -1,78 +0,0 @@
1
- from typing import List
2
-
3
- import datasets
4
-
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- from .common import TrainValidTestChild
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- from .generated_definitions import DEFINITIONS
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-
8
-
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- _DESCRIPTION = """Given a source code, the task is to identify whether it is an insecure code that may attack software systems, such as resource leaks, use-after-free vulnerabilities and DoS attack. We treat the task as binary classification (0/1), where 1 stands for insecure code and 0 for secure code.
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- The dataset we use comes from the paper Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks. We combine all projects and split 80%/10%/10% for training/dev/test."""
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- _CITATION = """@inproceedings{zhou2019devign,
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- title={Devign: Effective vulnerability identification by learning comprehensive program semantics via graph neural networks},
13
- author={Zhou, Yaqin and Liu, Shangqing and Siow, Jingkai and Du, Xiaoning and Liu, Yang},
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- booktitle={Advances in Neural Information Processing Systems},
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- pages={10197--10207}, year={2019}"""
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-
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-
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- class CodeXGlueCcDefectDetectionImpl(TrainValidTestChild):
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- _DESCRIPTION = _DESCRIPTION
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- _CITATION = _CITATION
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-
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- _FEATURES = {
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- "id": datasets.Value("int32"), # Index of the sample
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- "func": datasets.Value("string"), # The source code
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- "target": datasets.Value("bool"), # 0 or 1 (vulnerability or not)
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- "project": datasets.Value("string"), # Original project that contains this code
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- "commit_id": datasets.Value("string"), # Commit identifier in the original project
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- }
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- _SUPERVISED_KEYS = ["target"]
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-
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- def generate_urls(self, split_name):
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- yield "index", f"{split_name}.txt"
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- yield "data", "function.json"
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-
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- def _generate_examples(self, split_name, file_paths):
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- import json
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-
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- js_all = json.load(open(file_paths["data"], encoding="utf-8"))
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-
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- index = set()
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- with open(file_paths["index"], encoding="utf-8") as f:
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- for line in f:
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- line = line.strip()
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- index.add(int(line))
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-
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- for idx, js in enumerate(js_all):
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- if idx in index:
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- js["id"] = idx
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- js["target"] = int(js["target"]) == 1
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- yield idx, js
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-
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-
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- CLASS_MAPPING = {
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- "CodeXGlueCcDefectDetection": CodeXGlueCcDefectDetectionImpl,
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- }
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-
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-
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- class CodeXGlueCcDefectDetection(datasets.GeneratorBasedBuilder):
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- BUILDER_CONFIG_CLASS = datasets.BuilderConfig
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- BUILDER_CONFIGS = [
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- datasets.BuilderConfig(name=name, description=info["description"]) for name, info in DEFINITIONS.items()
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- ]
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-
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- def _info(self):
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- name = self.config.name
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- info = DEFINITIONS[name]
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- if info["class_name"] in CLASS_MAPPING:
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- self.child = CLASS_MAPPING[info["class_name"]](info)
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- else:
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- raise RuntimeError(f"Unknown python class for dataset configuration {name}")
71
- ret = self.child._info()
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- return ret
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-
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- def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
75
- return self.child._split_generators(dl_manager=dl_manager)
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-
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- def _generate_examples(self, split_name, file_paths):
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- return self.child._generate_examples(split_name, file_paths)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
common.py DELETED
@@ -1,75 +0,0 @@
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- from typing import List
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-
3
- import datasets
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-
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-
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- # Citation, taken from https://github.com/microsoft/CodeXGLUE
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- _DEFAULT_CITATION = """@article{CodeXGLUE,
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- title={CodeXGLUE: A Benchmark Dataset and Open Challenge for Code Intelligence},
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- year={2020},}"""
10
-
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-
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- class Child:
13
- _DESCRIPTION = None
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- _FEATURES = None
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- _CITATION = None
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- SPLITS = {"train": datasets.Split.TRAIN}
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- _SUPERVISED_KEYS = None
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-
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- def __init__(self, info):
20
- self.info = info
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-
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- def homepage(self):
23
- return self.info["project_url"]
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-
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- def _info(self):
26
- # This is the description that will appear on the datasets page.
27
- return datasets.DatasetInfo(
28
- description=self.info["description"] + "\n\n" + self._DESCRIPTION,
29
- features=datasets.Features(self._FEATURES),
30
- homepage=self.homepage(),
31
- citation=self._CITATION or _DEFAULT_CITATION,
32
- supervised_keys=self._SUPERVISED_KEYS,
33
- )
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-
35
- def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
36
- SPLITS = self.SPLITS
37
- _URL = self.info["raw_url"]
38
- urls_to_download = {}
39
- for split in SPLITS:
40
- if split not in urls_to_download:
41
- urls_to_download[split] = {}
42
-
43
- for key, url in self.generate_urls(split):
44
- if not url.startswith("http"):
45
- url = _URL + "/" + url
46
- urls_to_download[split][key] = url
47
-
48
- downloaded_files = {}
49
- for k, v in urls_to_download.items():
50
- downloaded_files[k] = dl_manager.download_and_extract(v)
51
-
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- return [
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- datasets.SplitGenerator(
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- name=SPLITS[k],
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- gen_kwargs={"split_name": k, "file_paths": downloaded_files[k]},
56
- )
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- for k in SPLITS
58
- ]
59
-
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- def check_empty(self, entries):
61
- all_empty = all([v == "" for v in entries.values()])
62
- all_non_empty = all([v != "" for v in entries.values()])
63
-
64
- if not all_non_empty and not all_empty:
65
- raise RuntimeError("Parallel data files should have the same number of lines.")
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-
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- return all_empty
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-
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-
70
- class TrainValidTestChild(Child):
71
- SPLITS = {
72
- "train": datasets.Split.TRAIN,
73
- "valid": datasets.Split.VALIDATION,
74
- "test": datasets.Split.TEST,
75
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
data/test-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:259c944eb4f8689e83895de476a00fe4cadf4839636769e725d3744fc36cfcd5
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+ size 2227970
data/train-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:e319c83e2e816a10aeeebe78668aa95b757b04e555700bf5f826766b0e80bb06
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+ size 17847670
data/validation-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:a17a76ed040d7f8657d1ff741f967b44704c008101ac958e2990ad468203cfa4
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+ size 2214315
generated_definitions.py DELETED
@@ -1,12 +0,0 @@
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- DEFINITIONS = {
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- "default": {
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- "class_name": "CodeXGlueCcDefectDetection",
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- "dataset_type": "Code-Code",
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- "description": "CodeXGLUE Defect-detection dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/Defect-detection",
6
- "dir_name": "Defect-detection",
7
- "name": "default",
8
- "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Code/Defect-detection",
9
- "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Code/Defect-detection/dataset",
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- "sizes": {"test": 2732, "train": 21854, "validation": 2732},
11
- }
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- }