| --- |
| license: other |
| task_categories: |
| - text-generation |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: train.jsonl |
| - split: validation |
| path: validation.jsonl |
| - split: test |
| path: test.jsonl |
| language: |
| - en |
| - ru |
| tags: |
| - cybersecurity |
| - malware |
| - malware-research |
| --- |
| |
| # VX direct pairs v2 |
|
|
| ## VX corpus coverage |
|
|
| The source collection recursively traversed these VX Underground roots: |
|
|
| - `/Papers`, including its subdirectories. |
| - `/Malware Analysis/2023`. |
| - `/Malware Analysis/2024`. |
| - `/Malware Analysis/2025`. |
| - `/Malware Analysis/2026`. |
|
|
| This is a collected snapshot, not a continuously synchronized mirror or a claim |
| that every file currently available on the website was successfully included. |
| The years above apply to the Malware Analysis roots; Papers was not restricted |
| to publications from 2023 onward. |
|
|
| The collection included associated reports, papers and sample/artifact folders. |
| The direct-pair pipeline used successfully ingested readable material, including |
| documents, source code, YARA rules and readable archive members. Related artifacts |
| were grouped with their reports where that relationship was available. Opaque |
| executables and binary blobs were represented by inventory/static metadata, not |
| executed or treated as observed sandbox behavior. Unsupported, unreadable or |
| unresolved archive content was not equivalent to extracted teaching evidence. |
|
|
| Security-scope filtering excluded incidental bundled vendor libraries and |
| unrelated administrative/financial material from generation, without discarding |
| security-relevant code or reports solely because of a directory name. These |
| filters, extraction failures, deduplication and generation/review decisions mean |
| the final pairs are a selected derivative of the collection, not one example per |
| downloaded file or exhaustive coverage of every source context. |
|
|
| Portable messages JSONL: 173,325 records. Sources are combined once |
| at natural sizes, without weighting or oversampling. Exact message duplicates are |
| removed, first source wins, and identical learner prompts stay in one split |
| (test takes precedence over validation, then train). No content is truncated. |
|
|
| VX material is best-effort synthetic direct question/answer data, mostly unreviewed; |
| residual factual errors remain possible. Merge validation is structural, not a |
| semantic quality approval. WhiteRabbit content, when present, is preserved using |
| the explicit mapping in mix.yaml; a dataset name does not certify ReAct behavior. |
| Question/response mapping excludes upstream system text and other columns. |
|
|
| Use load_dataset("json", data_files={"train": "train.jsonl", |
| "validation": "validation.jsonl", "test": "test.jsonl"}) locally, or load the |
| pinned Hub revision. Apply the student's matching tokenizer/chat template and |
| assistant-only loss downstream. Token-length preflight is required before training; |
| this package neither tokenizes nor silently truncates examples. |
|
|
| See release.json for exact source revisions, hashes, split counts, duplicate count |
| and split moves; origins.jsonl links each output row to its source. The sources/ |
| directory preserves upstream cards and license/notice files. VX source excerpts |
| have heterogeneous third-party rights: no blanket redistribution license is asserted. |
| WhiteRabbit's individual licenses/usage conditions remain applicable; this aggregate |
| is not entirely Apache-2.0. See docs/dataset-merging.md in the docprep repository |
| for the preparation, verification and training workflow. |
