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gpt_oss_maze_cot_120_m11_v1

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End of preview. Expand in Data Studio

GPT-OSS-20B Maze CoT 120-grid m=11 collection

This dataset contains GPT-OSS-20B maze-navigation calls on 120 deterministic 7x7 grids spanning six configured difficulty levels. Each grid has 10 sampled trajectories at temperature 0.7 and one greedy trajectory at temperature 0.0, for 1,320 GPT trajectories in total.

  • Hugging Face organization: project-telos
  • Uploading user: TommyXie
  • Provider: Together AI
  • Model: openai/gpt-oss-20b
  • Local replay checkpoint revision: 6cee5e81ee83917806bbde320786a8fb61efebee
  • Reasoning setting: low
  • Context: current full grid only, without trajectory history

Files and configurations

grids

grid_manifest.jsonl has one row per grid. It records the stable grid ID, layout, generation seed, start and goal coordinates, configured difficulty, wall fraction, and optimal path length.

trajectory_schedule

trajectory_schedule.jsonl records the frozen collection schedule. The shared schedule contains both the GPT-OSS and separately collected Gemma plans; this repository's raw calls contain only the 1,320 GPT-OSS trajectories. The Gemma raw calls are not included here.

raw_api_calls

raw_api_calls.jsonl has one row per model call/environment step. It includes the prompt and response, reasoning content, selected action, environment state, planner-optimal actions, provider token IDs/bytes/log probabilities, usage, latency, and reproducibility metadata. There are 5,814 successful calls. All have complete provider token sequences and 1,320 rows mark trajectory termination.

config.lock.json contains the frozen collection configuration used to create the grids and schedules and to execute the calls.

Loading 

from datasets import load_dataset

grids = load_dataset(
    "project-telos/gpt_oss_maze_cot_120_m11_v1",
    "grids",
)
calls = load_dataset(
    "project-telos/gpt_oss_maze_cot_120_m11_v1",
    "raw_api_calls",
)

Collection summary

  • 120 unique 7x7 grids
  • Six configured difficulty levels from 0.0 to 1.0
  • 1,320 GPT-OSS trajectories (m=11 per grid)
  • 5,814 successful step-level calls
  • 1,313 goal-reaching trajectories and 7 non-goal terminal trajectories
  • Four invalid parsed actions across the complete collection

Limitations

  • Difficulty values are generator settings, not calibrated human difficulty.
  • Calls were served through Together AI; exact results may depend on provider serving behavior in addition to the pinned model revision.
  • The collection includes model reasoning text. It should be treated as model output, not as a faithful explanation of the model's internal computation.
  • The shared schedule lists the Gemma collection design, but this repository includes only GPT-OSS raw calls.

Integrity

SHA-256 checksums before upload:

6ff729ccda769439fd2927402abc6c364a467d9609575c07c2f353ac1c764349  config.lock.json
aa73b9756da748d7fc9c5d1fa57a3bd33a228644ddff226a1e39e18a4d4d7d30  grid_manifest.jsonl
1cc8254fd8cffaaf907b04f8b790f419e196ed2867a7355d5bd32d733db9fa7b  raw_api_calls.jsonl
8125a9ee82a75f8ac801622349970fe53b0d5b141a23d5fe794caf5d54d353f3  trajectory_schedule.jsonl

License

Apache-2.0. Users should also comply with terms applicable to the GPT-OSS model and any serving provider they use.
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