Duplicate from DetectVul/devign

Co-authored-by: Hoai-Chau Tran <hchautran@users.noreply.huggingface.co>

.gitattributes

@@ -0,0 +1,54 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,66 @@
+---
+dataset_info:
+  features:
+  - name: id
+    dtype: int32
+  - name: func
+    dtype: string
+  - name: target
+    dtype: bool
+  - name: project
+    dtype: string
+  - name: commit_id
+    dtype: string
+  - name: func_clean
+    dtype: string
+  - name: vul_lines
+    struct:
+    - name: code
+      sequence: string
+    - name: line_no
+      sequence: int64
+  - name: normalized_func
+    dtype: string
+  - name: lines
+    sequence: string
+  - name: label
+    sequence: int64
+  - name: line_no
+    sequence:
+      sequence: int64
+  splits:
+  - name: test
+    num_bytes: 22801956
+    num_examples: 2732
+  - name: train
+    num_bytes: 183794878
+    num_examples: 21854
+  - name: validation
+    num_bytes: 22451009
+    num_examples: 2732
+  download_size: 72100845
+  dataset_size: 229047843
+---
+# Dataset Card for "devign_with_norm_vul_lines"
+
+[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+
+Original Paper: https://www.sciencedirect.com/science/article/abs/pii/S0167739X24004680
+
+bibtex
+
+```
+@article{TRAN2024107504,
+title = {DetectVul: A statement-level code vulnerability detection for Python},
+journal = {Future Generation Computer Systems},
+pages = {107504},
+year = {2024},
+issn = {0167-739X},
+doi = {https://doi.org/10.1016/j.future.2024.107504},
+url = {https://www.sciencedirect.com/science/article/pii/S0167739X24004680},
+author = {Hoai-Chau Tran and Anh-Duy Tran and Kim-Hung Le},
+keywords = {Source code vulnerability detection, Deep learning, Natural language processing},
+abstract = {Detecting vulnerabilities in source code using graph neural networks (GNN) has gained significant attention in recent years. However, the detection performance of these approaches relies highly on the graph structure, and constructing meaningful graphs is expensive. Moreover, they often operate at a coarse level of granularity (such as function-level), which limits their applicability to other scripting languages like Python and their effectiveness in identifying vulnerabilities. To address these limitations, we propose DetectVul, a new approach that accurately detects vulnerable patterns in Python source code at the statement level. DetectVul applies self-attention to directly learn patterns and interactions between statements in a raw Python function; thus, it eliminates the complicated graph extraction process without sacrificing model performance. In addition, the information about each type of statement is also leveraged to enhance the model’s detection accuracy. In our experiments, we used two datasets, CVEFixes and Vudenc, with 211,317 Python statements in 21,571 functions from real-world projects on GitHub, covering seven vulnerability types. Our experiments show that DetectVul outperforms GNN-based models using control flow graphs, achieving the best F1 score of 74.47%, which is 25.45% and 18.05% higher than the best GCN and GAT models, respectively.}
+}
+```

data/test-00000-of-00001-e0e162fa10729371.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9876907e09abb3ed119e1c3990cea7c0a2d288bbccb2d2c0030e805d5328e5cd
+size 8029971

data/train-00000-of-00001-396a063c42dfdb0a.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:43912a273065766782e41f3e1be38e23984589483a0bc8900f9153c67a9ef107
+size 64166523

data/validation-00000-of-00001-5d4ba937305086b9.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:59e89ba4827419e0c2ba2a7d916a97107f833f84cb2660d6b8ce77514e86477f
+size 7934322