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Add DELTA dataset card

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+ ---
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+ license: other
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+ task_categories:
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+ - text-classification
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+ tags:
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+ - vulnerability-detection
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+ - software-security
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+ - code-property-graph
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+ - retrieval-augmented-generation
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+ - cwe
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+ configs:
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+ - config_name: primevul
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+ data_files:
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+ - split: train
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+ path: primevul/train.parquet
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+ - split: val
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+ path: primevul/val.parquet
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+ - split: test
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+ path: primevul/test.parquet
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+ - config_name: megavul
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+ data_files:
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+ - split: train
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+ path: megavul/train.parquet
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+ - split: val
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+ path: megavul/val.parquet
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+ - split: test
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+ path: megavul/test.parquet
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+ - config_name: crossvul
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+ data_files:
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+ - split: train
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+ path: crossvul/train.parquet
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+ - split: val
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+ path: crossvul/val.parquet
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+ - split: test
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+ path: crossvul/test.parquet
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+ ---
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+
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+ # DELTA vulnerability datasets
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+
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+ This repository contains the three benchmark splits used by **DELTA:
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+ Differential Evidence for LLM Taxonomy-Aware Software Vulnerability
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+ Detection**.
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+
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+ ## Configurations
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+
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+ | config | task | training knowledge base | validation/test |
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+ |---|---|---|---|
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+ | `primevul` | single-language | C/C++ | C/C++ |
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+ | `megavul` | cross-language | C/C++ | Java |
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+ | `crossvul` | multi-language transfer | C, Go, Java, PHP, TypeScript | C++, C#, JavaScript, Python, Ruby, Rust, Scala |
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+
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+ Each config has `train`, `val` and `test` splits. The training split is the
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+ knowledge-base construction set. In DELTA, each pair contributes two
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+ classification items during evaluation: the vulnerable version (label `1`) and
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+ the fixed version (label `0`).
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+
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+ ## Loading
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ primevul = load_dataset("codemetic/DELTA", "primevul", split="train")
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+ megavul_java = load_dataset("codemetic/DELTA", "megavul", split="test")
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+ crossvul = load_dataset("codemetic/DELTA", "crossvul", split="val")
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+ ```
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+
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+ Or use the DELTA code directly:
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+
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+ ```bash
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+ python -m delta.cli run --config configs/primevul.yaml --run-id primevul-full
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+ ```
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+
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+ The loader pulls the data from this repository by default (`data.source: hf`).
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+
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+ ## Columns
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+
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+ The parquet files preserve the original benchmark columns, including:
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+
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+ - `vul_code`, `fixed_code`
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+ - `cwe` or `cwe_id`, and `cwe_description` where available
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+ - `language` for CrossVul
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+ - project/CVE metadata for PrimeVul and MegaVul
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+
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+ ## Citation
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+
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+ Please cite the DELTA paper. See the project repository for the full author list
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+ and bibliography.
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+
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+ ## Notes
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+
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+ These datasets are redistributed for research convenience. Please also follow
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+ the terms of the original PrimeVul, MegaVul and CrossVul releases.