Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
                  raise ValueError(
                  ...<2 lines>...
                  )
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

GameDoctor raw source archives

The upstream material the SFT corpora were built from. Everything here lived only on the a2f volume and is absent from the gamecraft-1700-corpus dataset, so it would have been lost when server access ended.

archive size what it is
basegen_trajectories_20260830-0255.tar.gz 21 MB 208 agent trajectories — the single largest trajectory source
repair_epoch1_full.tar.gz 476 MB repair-stage source material
layer_runs-20260827-1346.tar.gz 60 MB layer run outputs
job_scripts-20260827-0803.tar.gz 2 MB training job scripts as submitted
repair_diffs-20260827-1346.tar.gz 1 MB repair diffs
repair_trajectories_rescued-20260827-1346.tar.gz 1 MB recovered repair trajectories
readings-20260827-0710.tar.gz 1 MB readings
layer_runs-20260827-0710.tar.gz 1 MB earlier layer runs

What is NOT here, and why

The four basegen_1500* / basegen_early web archives are already published in WenyiWU0111/gamecraft-1700-corpus under games/web/, byte-for-byte identical to the a2f copies. They are not duplicated here.

Trajectory format

Agent trajectories live at <game-dir>/.qwen/trajectory.jsonl, one JSON object per line, alongside a result.json and .qwen/system.md. This is the input to traj_to_sft_v2.py, which turns them into SFT rows.

Note that only the web family contains trajectories. The Godot archives elsewhere in the corpus are benchmark job runs (gamecraft-bench-jobs/, job.log, result.json) and finished game projects — useful as artefacts, but not training data for an agentic SFT run.


Pipeline code: WenyiWU0111/OpenGame-reproduce · gamedoctor_sft/

Companion repos: adapters · training corpora · eval results

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