| { |
| "canonical_scope": { |
| "context": "High", |
| "examples": "Three Examples", |
| "noise": "Low", |
| "required_seeds_per_simulator": 5, |
| "task_mode": "Code" |
| }, |
| "filters": { |
| "context": [ |
| "High", |
| "None" |
| ], |
| "examples": [ |
| "None", |
| "One Example", |
| "Three Examples" |
| ], |
| "noise": [ |
| "Low", |
| "High" |
| ], |
| "task_mode": [ |
| "Code", |
| "Direct" |
| ] |
| }, |
| "generated_at": "2026-06-05T20:58:56Z", |
| "rows": [ |
| { |
| "agent": "gpt-5.5", |
| "complete": true, |
| "date": "2026-05-06", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gpt-5-5-codex-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gpt-5-5-codex-high.zip" |
| }, |
| "model": "gpt-5.5", |
| "rank": 1, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "None", |
| "noise": "High", |
| "task_mode": "Code" |
| }, |
| "score": 0.847, |
| "submission_id": "gpt-5-5-codex-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "gemini-3.1-pro", |
| "complete": true, |
| "date": "2026-05-18", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gemini-3-1-pro-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gemini-3-1-pro-high.zip" |
| }, |
| "model": "gemini_3_1_pro_high", |
| "rank": 2, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "None", |
| "noise": "High", |
| "task_mode": "Code" |
| }, |
| "score": 0.653, |
| "submission_id": "gemini-3-1-pro-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "gpt-5.5", |
| "complete": true, |
| "date": "2026-05-06", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gpt-5-5-codex-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gpt-5-5-codex-high.zip" |
| }, |
| "model": "gpt-5.5", |
| "rank": 1, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "Three Examples", |
| "noise": "High", |
| "task_mode": "Code" |
| }, |
| "score": 0.733, |
| "submission_id": "gpt-5-5-codex-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "gemini-3.1-pro", |
| "complete": true, |
| "date": "2026-05-07", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gemini-3-1-pro-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gemini-3-1-pro-high.zip" |
| }, |
| "model": "gemini_3_1_pro_high", |
| "rank": 2, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "Three Examples", |
| "noise": "High", |
| "task_mode": "Code" |
| }, |
| "score": 0.547, |
| "submission_id": "gemini-3-1-pro-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "minimax-m2.7", |
| "complete": true, |
| "date": "2026-05-19", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/minimax-m2-7.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/minimax-m2-7.zip" |
| }, |
| "model": "openrouter/minimax/minimax-m2.7", |
| "rank": 3, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "Three Examples", |
| "noise": "High", |
| "task_mode": "Code" |
| }, |
| "score": 0.353, |
| "submission_id": "minimax-m2-7", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "gpt-5.5", |
| "complete": true, |
| "date": "2026-05-06", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gpt-5-5-codex-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gpt-5-5-codex-high.zip" |
| }, |
| "model": "gpt-5.5", |
| "rank": 1, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "None", |
| "examples": "Three Examples", |
| "noise": "High", |
| "task_mode": "Code" |
| }, |
| "score": 0.453, |
| "submission_id": "gpt-5-5-codex-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "gemini-3.1-pro", |
| "complete": true, |
| "date": "2026-05-06", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gemini-3-1-pro-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gemini-3-1-pro-high.zip" |
| }, |
| "model": "gemini_3_1_pro_high", |
| "rank": 2, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "None", |
| "examples": "Three Examples", |
| "noise": "High", |
| "task_mode": "Code" |
| }, |
| "score": 0.347, |
| "submission_id": "gemini-3-1-pro-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "gpt-5.5", |
| "complete": true, |
| "date": "2026-05-06", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gpt-5-5-codex-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gpt-5-5-codex-high.zip" |
| }, |
| "model": "gpt-5.5", |
| "rank": 1, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "Three Examples", |
| "noise": "Low", |
| "task_mode": "Code" |
| }, |
| "score": 0.853, |
| "submission_id": "gpt-5-5-codex-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "gemini-3.1-pro", |
| "complete": true, |
| "date": "2026-05-06", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gemini-3-1-pro-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gemini-3-1-pro-high.zip" |
| }, |
| "model": "gemini_3_1_pro_high", |
| "rank": 2, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "Three Examples", |
| "noise": "Low", |
| "task_mode": "Code" |
| }, |
| "score": 0.733, |
| "submission_id": "gemini-3-1-pro-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "claude-opus-4.6", |
| "complete": true, |
| "date": "2026-05-07", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/claude-4-opus-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/claude-4-opus-high.zip" |
| }, |
| "model": "claude-opus-4-6", |
| "rank": 3, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "Three Examples", |
| "noise": "Low", |
| "task_mode": "Code" |
| }, |
| "score": 0.687, |
| "submission_id": "claude-4-opus-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "minimax-m2.7", |
| "complete": true, |
| "date": "2026-05-06", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/minimax-m2-7.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/minimax-m2-7.zip" |
| }, |
| "model": "openrouter/minimax/minimax-m2.7", |
| "rank": 4, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "Three Examples", |
| "noise": "Low", |
| "task_mode": "Code" |
| }, |
| "score": 0.28, |
| "submission_id": "minimax-m2-7", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "gpt-5.5", |
| "complete": true, |
| "date": "2026-05-06", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gpt-5-5-codex-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gpt-5-5-codex-high.zip" |
| }, |
| "model": "gpt-5.5", |
| "rank": 1, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "None", |
| "noise": "High", |
| "task_mode": "Direct" |
| }, |
| "score": 0.887, |
| "submission_id": "gpt-5-5-codex-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "gemini-3.1-pro", |
| "complete": true, |
| "date": "2026-05-06", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gemini-3-1-pro-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gemini-3-1-pro-high.zip" |
| }, |
| "model": "gemini_3_1_pro_high", |
| "rank": 2, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "None", |
| "noise": "High", |
| "task_mode": "Direct" |
| }, |
| "score": 0.647, |
| "submission_id": "gemini-3-1-pro-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "gpt-5.5", |
| "complete": true, |
| "date": "2026-05-06", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gpt-5-5-codex-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gpt-5-5-codex-high.zip" |
| }, |
| "model": "gpt-5.5", |
| "rank": 1, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "Three Examples", |
| "noise": "High", |
| "task_mode": "Direct" |
| }, |
| "score": 0.833, |
| "submission_id": "gpt-5-5-codex-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "claude-opus-4.6", |
| "complete": true, |
| "date": "2026-05-18", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/claude-4-opus-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/claude-4-opus-high.zip" |
| }, |
| "model": "claude-opus-4-6", |
| "rank": 2, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "Three Examples", |
| "noise": "High", |
| "task_mode": "Direct" |
| }, |
| "score": 0.593, |
| "submission_id": "claude-4-opus-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "gemini-3.1-pro", |
| "complete": true, |
| "date": "2026-05-07", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gemini-3-1-pro-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gemini-3-1-pro-high.zip" |
| }, |
| "model": "gemini_3_1_pro_high", |
| "rank": 3, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "Three Examples", |
| "noise": "High", |
| "task_mode": "Direct" |
| }, |
| "score": 0.56, |
| "submission_id": "gemini-3-1-pro-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "minimax-m2.7", |
| "complete": true, |
| "date": "2026-05-19", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/minimax-m2-7.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/minimax-m2-7.zip" |
| }, |
| "model": "openrouter/minimax/minimax-m2.7", |
| "rank": 4, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "Three Examples", |
| "noise": "High", |
| "task_mode": "Direct" |
| }, |
| "score": 0.3, |
| "submission_id": "minimax-m2-7", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "gpt-5.5", |
| "complete": true, |
| "date": "2026-05-06", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gpt-5-5-codex-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gpt-5-5-codex-high.zip" |
| }, |
| "model": "gpt-5.5", |
| "rank": 1, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "None", |
| "examples": "Three Examples", |
| "noise": "High", |
| "task_mode": "Direct" |
| }, |
| "score": 0.513, |
| "submission_id": "gpt-5-5-codex-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "gemini-3.1-pro", |
| "complete": true, |
| "date": "2026-05-06", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gemini-3-1-pro-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gemini-3-1-pro-high.zip" |
| }, |
| "model": "gemini_3_1_pro_high", |
| "rank": 2, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "None", |
| "examples": "Three Examples", |
| "noise": "High", |
| "task_mode": "Direct" |
| }, |
| "score": 0.313, |
| "submission_id": "gemini-3-1-pro-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "gpt-5.5", |
| "complete": true, |
| "date": "2026-05-06", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gpt-5-5-codex-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gpt-5-5-codex-high.zip" |
| }, |
| "model": "gpt-5.5", |
| "rank": 1, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "Three Examples", |
| "noise": "Low", |
| "task_mode": "Direct" |
| }, |
| "score": 0.933, |
| "submission_id": "gpt-5-5-codex-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "claude-opus-4.6", |
| "complete": true, |
| "date": "2026-05-07", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/claude-4-opus-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/claude-4-opus-high.zip" |
| }, |
| "model": "claude-opus-4-6", |
| "rank": 2, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "Three Examples", |
| "noise": "Low", |
| "task_mode": "Direct" |
| }, |
| "score": 0.853, |
| "submission_id": "claude-4-opus-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "gemini-3.1-pro", |
| "complete": true, |
| "date": "2026-05-06", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gemini-3-1-pro-high.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/gemini-3-1-pro-high.zip" |
| }, |
| "model": "gemini_3_1_pro_high", |
| "rank": 3, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "Three Examples", |
| "noise": "Low", |
| "task_mode": "Direct" |
| }, |
| "score": 0.76, |
| "submission_id": "gemini-3-1-pro-high", |
| "submitter": "TSENV" |
| }, |
| { |
| "agent": "minimax-m2.7", |
| "complete": true, |
| "date": "2026-05-06", |
| "links": { |
| "artifacts": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/minimax-m2-7.zip", |
| "results": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/results.parquet", |
| "trajectories": "https://huggingface.co/datasets/eth-siplab/tsenvbenchmark/resolve/main/submissions/minimax-m2-7.zip" |
| }, |
| "model": "openrouter/minimax/minimax-m2.7", |
| "rank": 4, |
| "required_seed_summary": { |
| "BallDrop": 5, |
| "BounceBall": 5, |
| "MassSlide": 5 |
| }, |
| "scope": { |
| "context": "High", |
| "examples": "Three Examples", |
| "noise": "Low", |
| "task_mode": "Direct" |
| }, |
| "score": 0.293, |
| "submission_id": "minimax-m2-7", |
| "submitter": "TSENV" |
| } |
| ] |
| } |
|
|