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AssemblyWorldBench-Results

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AssemblyWorldBench-Results / README.md
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metadata 
pretty_name: AssemblyWorldBench Results
license: other
license_name: per-source-terms
license_link: LICENSE.md
tags:
  - 3d
  - assembly
  - agents
  - benchmark
  - agent-trajectories
size_categories:
  - 1K<n<10K
configs:
  - config_name: default
    data_files:
      - split: all
        path: index/samples.parquet
extra_gated_prompt: >-
  These results embed part geometry, manual pages and reference images from
  PartNet (via Manual-PA), IKEA-Manual, AssemblyBench (Fusion 360 Gallery) and
  Fantastic Breaks inside the recorded episodes and transcripts. These assets
  keep their original rights. Access is granted for non-commercial research
  only, and you must comply with the terms of every source dataset.
extra_gated_fields:
  Name: text
  Affiliation: text
  I will use this dataset for non-commercial research only: checkbox
  I will comply with the terms of each source dataset listed in the card: checkbox

AssemblyWorldBench Results

Complete records of every agent run behind the main result tables of AssemblyWorld: Rethinking 3D Assembly with General-Purpose Agents: for each evaluated sample, the prompt, the full agent transcript with timestamped tool calls, the agent's own report, the exported final episode, and its geometric scores, plus the aggregates the paper reports. The benchmark itself is AssemblyWorld/AssemblyWorldBench.

index/samples.parquet has one row per sample (4,624 rows): table, system, block, sample, run status, the agent's self-reported outcome, SCD / PA / SR, wall time, tokens, cost and WebMCP call count, with the path to the sample directory. It is what the dataset viewer shows.

Contents

Directory Paper Agent system Samples
assemblyworldbench/<system>/ Table 1, AssemblyWorldBench 8 systems: Claude Fable 5.1, Claude Opus 5, Claude Sonnet 5 (Claude Code); GPT-6 Astra, GPT-5.6 Sol, GPT-5.6 Terra, DeepSeek V4.1 Flash, Qwen3.8 Max (Codex) 100 each
partnet/gpt-6-astra/ Table 2, PartNet-Assembly GPT-6 Astra + Codex storage 148 × 3 references; chair 791 and table 533 without reference and with a final image; chair and table 100-object manual subsamples
ikea-manual/gpt-6-astra/ Table 3, IKEA-Manual GPT-6 Astra + Codex 102
assemblybench/gpt-6-astra/ Table 4, AssemblyBench GPT-6 Astra + Codex 280 (279 reported)
fantastic-breaks/gpt-6-astra/ Table 5, Fantastic Breaks GPT-6 Astra + Codex 150

Every directory follows <table>/<system>/<block>/ with run.json, task.txt, samples/<sample>/ (input.json, prompt.txt, result.json, conversation.jsonl, final.episode.zip) and evaluation/ (metrics.jsonl, metrics_summary.json, meta.json). Each system has an experiment.json naming the paper table and row. AGENTS.md documents every file and field, the per-harness usage conventions, and all edits made at export.

Supplementary studies in the paper (robustness to layout, distractor and missing-part perturbations; GARF refinement) are not included.

Reproducing the scores

Every block directory is a valid run directory for assembly-world-agent:

# one block
uv run --locked --extra episodes python scripts/evaluate_run.py \
  results/ikea-manual/gpt-6-astra/ikea-manualbook --output /tmp/ikea
# one Table 1 system, aggregated with the frozen benchmark rules
uv run --locked --extra episodes python scripts/evaluate_run.py \
  results/assemblyworldbench/claude-fable-5-1/{partnet-none,partnet-final-image,ikea-manualbook,assemblybench-manualbook,fantastic-breaks-none} \
  --benchmark results/assemblyworldbench/benchmark/benchmark.json --output /tmp/fable

The evaluator rebuilds the ground truth from the pinned source dataset revisions on Hugging Face. Scores use assembly-evaluation-v2: SCD (whole-shape Chamfer ×1000), PA (fraction of parts within Chamfer 0.01 of their matched part) and SR (all parts correct). Re-scoring reproduces the recorded metrics.jsonl rows.

Known limitations

  • AssemblyBench: the reported aggregate excludes sample 6772 (the model refused the task) and uses the selected retry of sample 6994. The original 280-sample aggregate used the first attempt of 6994, which is not included, so only the 279-sample number is reproducible.
  • The four collaborator-run PartNet blocks (chair and table without reference and with a final image) keep only the attempt selected for each sample; their superseded attempts were not transferred, so retry counts are unknown.
  • A few runs ended with a CLI error after the episode was exported (result.json.status = failed, archive.status = saved); they are scored like any other sample.
  • Model reasoning text is not exported by the agent CLIs; only reasoning token counts appear.

Terms

The final episodes embed source part geometry, and transcripts embed the reference images given to the agent. These assets keep their original rights; see LICENSE.md. Source datasets: AssemblyWorld/partnet-manualpa, AssemblyWorld/ikea-manual, AssemblyWorld/assemblybench, AssemblyWorld/fantastic-breaks. Please also cite Mo et al., PartNet, 2019; Zhang et al., Manual-PA, 2025; Wang et al., IKEA-Manual, 2022; Li et al., AssemblyBench, 2026; Lamb et al., Fantastic Breaks, 2023.