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Initial dataset card

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+ ---
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+ license: mit
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+ task_categories:
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+ - text-classification
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+ - feature-extraction
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+ tags:
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+ - security
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+ - reverse-engineering
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+ - e2b
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+ - sandbox
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+ - ebpf
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+ - ndpi
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+ pretty_name: "pplx-e2b-re Research Data"
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+
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+ # pplx-e2b-re Research Platform — Dataset
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+
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+ Research data from the Perplexity E2B sandbox reverse engineering project. Contains structured findings, probe results, embeddings, and configuration data collected across 12+ sessions.
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+
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+ ## Dataset Structure
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+
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+ ### Categories
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+
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+ | Category | Files | Rows | Description |
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+ |----------|-------|------|-------------|
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+ | **probes** | 18 | 931 | Sandbox environment probes: connectors, models, features, cookies, embeddings |
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+ | **rundeck_probes** | 16 | 308 | Automated probe results: GitHub, Linear, HF, envd metrics, network peers |
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+ | **overview** | 6 | 243 | Session overviews: master catalog, inventories, connectors list |
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+ | **rundeck_state** | 7 | 163 | Rundeck operational state: manifests, compacts, toolkit, services |
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+ | **rundeck_data** | 1 | 20 | Probe data: LLM API/SDK configurations |
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+
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+ ### Key Datasets
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+
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+ - **findings_embeddings.parquet** — 162 research findings with 1536-dim HuggingFace embeddings for semantic search
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+ - **eppo_idb_flags.parquet** — 395 feature flags from Perplexity's Eppo integration
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+ - **models_config_v1.parquet** — 65 LLM model configurations (including unreleased models)
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+ - **copilot_models.parquet** — 42 GitHub Copilot model definitions with capabilities
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+ - **rootfs_scan.parquet** — Full sandbox root filesystem metadata (130 columns)
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+
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+ ### Sandbox Context
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+
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+ | Field | Value |
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+ |-------|-------|
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+ | Platform | E2B Firecracker MicroVM |
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+ | Kernel | 6.1.158 |
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+ | OS | Debian 13 (trixie) |
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+ | Template | `ij1plp1090o3fuzyuac0` |
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+
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+ ## Usage
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+
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+ ```python
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+ import pyarrow.parquet as pq
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+ import duckdb
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+
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+ # Load a parquet file
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+ findings = pq.read_table("data/probes/findings_embeddings.parquet")
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+
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+ # Query with DuckDB
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+ con = duckdb.connect()
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+ result = con.sql("""
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+ SELECT category, count(*) as n
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+ FROM 'data/probes/findings_all.parquet'
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+ GROUP BY category
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+ ORDER BY n DESC
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+ """).fetchall()
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+ ```
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+
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+ ## License
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+
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+ MIT — see [repository](https://github.com/pv-udpv/pplx-e2b-re) for full details.