The dataset viewer is not available for this subset.
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.
workspace-data-archive
Data-artifact archive of projects under /mnt/nvme0/zhujiayi/workspace/ on the
Rosetta host, packaged 2026-09-08 before the machine was wiped. Code lives on GitHub;
this repo preserves the non-reproducible data products (task sets, agent
trajectories, annotations, checkpoints, evaluation results). Related:
foreverCuSO4/transfer-bench-Rosetta-runs-archive (self-play run archive),
foreverCuSO4/transfer-bench-intents-v2-packed (3619-task dataset).
Per-archive details: see the *manifest*.json files inside each project directory.
Contents
task-generation-agent/ — G4 migration-task production line (Tranfer-Tasksmith)
| tarball | content |
|---|---|
accepted-tasks-20260706-211153-interactive-produce.tar.gz |
112 qualified G4 Harbor tasks + manifest (the accepted taskset, was not under git) |
accepted-final-snapshots-20260702-20260705.tar.gz |
86 accepted final task snapshots extracted via batch-state.json (35+51) |
runs-20260702-0705-0706-smalls.tar.gz |
trace/tasksmith/analyzer/verifier/out-minus-smoke + batch plans of the three produce batches |
runs-20260702-0705-0706-solver-trajectories.tar.gz |
solver trajectory.json/transcript.md/submission.diff net files |
runs-20260627_packed.tar.gz |
June g4-taskgen experiment archive |
runs-remaining-small-runs.tar.gz |
all other small runs (0701, real-validation, canary, qualification-v2, g4-fdtd, fdtd-solver, reference-store…) |
Dropped: workspaces/, snapshots/ intermediates, admission smoke/ (public-repo copies).
accel-trans-bench-private/ — Rosetta predecessor bench repo
selfplay-batch_runs-filtered.tar.gz— 07-22/23 self-play batches: opencode.db trajectories + verdicts (pre-dates the Rosetta runs-archive, no overlap)selfplay-runs-filtered.tar.gz,batch-runs-notasksmith.tar.gz,jobs-all.tar.gz(early harbor trial artifacts),trouble-shooting-2026071x-runs.tar.gz
Dropped: workspace/pristine/tmp, tasksmith-loop-artifacts (194G public-repo snapshots).
Jittor-7/ — 计图赛道一 (dynamic recommendation)
c1-data-downloads(contest raw data),c2-final-submission-cascade(final entry, val 0.6037),c3-submission-zips(10 real submissions),c4-hstu-weights(2 HSTU best.pt),c5-metrics-configs(all-experiments metrics/config harvest)
Dropped: ~255G regenerable feature caches / intermediate outputs.
migration-pipelines/ — candidate discovery pipelines
jl-mtp-run-20260828-152257— 799 g4_review cards + OpenCode agent traces + scoring CSVs + raw GitHub search frontiers (jl pipeline)jl-mtp-run-20260827-182944-unique20— the 20 repos unique to the 0827 runmtp-run-20260617-003331-github-goal-10000— d-review jsonl (3375 repos), candidate_cards, pipeline buffers, raw/interim/processed data (origin of the 512 taskset selection)
Dropped: 290G re-clonable public repo checkouts.
misc-robotics-ascend/ — robotics & Ascend experiments
| tarball | content |
|---|---|
e1-dart-annotation-tool_* |
5251 dart-armor keypoint annotations (non-empty labels+frames) + raw capture videos + self-trained kpts models (best_0207.pt, yolov10n-kpts-latest.onnx) |
e2-antidart_detection_traditional_* |
3 YOLO datasets (0616/0626/mixed-0205), raw videos, Downloads.zip (unique far_dataset), 5 self-trained CNN classifiers + eval metrics |
e3-2026-vision-contest_* |
297 RL self-play .sdw checkpoints + training logs |
e4-Gimble_crtl_* |
43 gimbal log packages (unique source) + built datasets + LSTM checkpoints/metrics + NPU HBM monitoring |
e5-dLLM-cache-Ascend_* |
lm_eval results + perf anchors (Ascend port of dLLM-cache) |
e6-Domino_Ascend_* |
domino speculative-decoding bench outputs |
e7-transfer-bench-Rosetta-cpp_* |
python→cpp track intents/demo run traces |
claude-code-sandbox/*.tar.gz |
E2B sandbox template image exports (x86_64+arm64, sha256 in manifest) |
Notes
- Everything regenerable (public clones, pip/venv, feature caches, execution scratch) was deliberately dropped.
- Secrets (
auth.json, tokens) are intentionally excluded everywhere. - Code rescue before wipe:
foreverCuSO4/dart_annotation_toolandforeverCuSO4/Gimble_LSTMwere pushed to GitHub for the first time as part of this archival.
Split archives
Tarballs >1.5G were split for upload robustness: <name>.tar.gz.part-00, .part-01, ...
Reassemble before extraction: cat '<name>.tar.gz.part-'* > '<name>.tar.gz' (parts are split -b 1500m, byte-exact).
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