Datasets:
metadata dict | skills list | edges list |
|---|---|---|
{"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.shfalls 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_graphcommand above). - Skill libraries / prebuilt workspaces — not hosted here; fetched from
DLPenn/graph-of-skills-data. Note those*_v1workspace archives hold undirected graphs from an earlier GoS cleanup implementation and reproduce older results only.
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