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RakshakAI Phase B Dataset (v2 — cleaned)
Bug-fixed version of the RakshakAI Phase B security dataset:
- Bug 1: NVD/OSV advisory text masquerading as code — source-based filter removed ~22K rows
- Bug 2: OWASP false positives labeled as vulnerable — 2,740 rows corrected to
is_vulnerable=false - Bug 3: BigVul identical before/after patches — 57,203 vuln rows nulled (whitespace normalization revealed 98% identity)
- Bug 4: Partial snippet patches (<50% of vuln lines) — 1,187 rows nulled (71% of securecode_web patches affected)
Loading
from datasets import load_dataset
# Cleaned base format (default)
ds = load_dataset("Muneerali199/RakshakAI-phase-b", "default")
# Axolotl chat format (system/user/assistant with CoT + JSON)
ds = load_dataset("Muneerali199/RakshakAI-phase-b", "axolotl")
Stats
| Split | Samples | Vuln | Clean | Ratio |
|---|---|---|---|---|
| train | 169,900 | 84,950 | 84,950 | 1:1 |
| val | 10,040 | 5,020 | 5,020 | 1:1 |
| test | 19,946 | 9,973 | 9,973 | 1:1 |
| Total | 199,886 | 99,943 | 99,943 | 1:1 |
Languages: C (71%), JavaScript (6%), Java (6%), PHP (5%), Python (4%), Go (2%), Rust (1%), C# (2%), others (3%)
Fix pairs: 13,200
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