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{"skillset_name":"skills_1000","source":"official HF prebuilt workspace (gos_workspace_skills_1000_v(...TRUNCATED)
[{"name":"gender-api-automation","description":"Automate Gender API tasks via Rube MCP (Composio). A(...TRUNCATED)
[{"source":"gender-api-automation","target":"alttext-ai-automation","type":"semantic","weight":0.6,"(...TRUNCATED)

SEGoS-data

Data assets for SE-GoS: Self-Evolving Graph-of-Skills for Skill Library at Scale (paper: arXiv:2609.08228, code: PKUfudawei/SEGoS).

This dataset hosts only what SE-GoS itself produces or repackages for convenience. The GoS skill libraries and prebuilt workspaces it builds on are not redistributed here — scripts/download_data.sh fetches them from the upstream GoS dataset DLPenn/graph-of-skills-data (davidliuk, 2026-04).

Contents

Archive Unpacked to Description
skillsbench_tasks.tar.gz evaluation/skillsbench/tasks/ 87 SkillsBench dockerized coding tasks (1.0 GB unpacked)
segos_coldstart_skills1000_k1_token.json evaluation/skillsbench/generated/shared/ SE-GoS cold-start graph: 1,000 skills, 863 semantic edges

Each archive contains one top-level directory; extract with tar -xzf <archive> --strip-components=1.

The cold-start graph

SE-GoS does not start from GoS's LLM-validated typed graph. It starts from a deterministic semantic-only graph: every skill linked to its top-1 neighbour by signature-token overlap, no LLM pass and no embedding service.

segos_coldstart_skills1000_k1_token.json is exactly that substrate — the graph behind the static (round-0) row of every table in the paper (1,000 nodes / 863 edges). It is reproducible from the upstream GoS workspace in one command:

cd evaluation/skillsbench
PYTHONPATH=$PWD python -m evo.rebuild_graph \
  --igraph ../../data/gos_workspace/skills_1000_v1/graph_igraph_data.pklz \
  --edge-types sem --sem-metric token --semantic-k 1 \
  --out generated/shared/graphskills_bundle_semonly_token_k1_1000.json

--hnsw is not needed: the token metric reads node attributes from the official igraph pickle, so no embedding index or API key is involved.

Usage

git clone https://github.com/PKUfudawei/SEGoS.git && cd SEGoS
./scripts/download_data.sh              # everything (tasks + upstream skillsets/workspaces + cold-start graph)
./scripts/download_data.sh --tasks      # SkillsBench tasks only
./scripts/download_data.sh --coldstart  # cold-start graph only

GOS_HF_REPO overrides the upstream GoS dataset used for skill libraries and prebuilt workspaces; SEGOS_HF_REPO overrides this dataset.

Provenance

  • SkillsBench tasks — from benchflow-ai/skillsbench. download_data.sh falls back to a sparse checkout of that repo if the archive here is unavailable.
  • Cold-start graph — produced by this project from the upstream GoS workspace (see the rebuild_graph command above).
  • Skill libraries / prebuilt workspaces — not hosted here; fetched from DLPenn/graph-of-skills-data. Note those *_v1 workspace archives hold undirected graphs from an earlier GoS cleanup implementation and reproduce older results only.
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Paper for PKUfudawei/SEGoS-data