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The dataset generation failed
Error code: DatasetGenerationError
Exception: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 281, in _generate_tables
examples = [ujson_loads(line) for line in batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1879, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
n_msgs int64 | turn_msg list | obs_error list | corrective list | kinds unknown | id string |
|---|---|---|---|---|---|
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... | 12rambau__sepal_ui-814 |
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"40": "edit",... | 15five__scim2-filter-parser-20 |
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... | 2gis__k8s-handle-120 |
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"38": "diag",
"40": "diag... | 3YOURMIND__django-migration-linter-258 |
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... | 42DIGITAL__bqtools-11 |
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... | 4degrees__clique-26 |
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... | ARM-software__mango-42 |
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... | ARMmbed__mbed-tools-284 |
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... | ARMmbed__mbed-tools-293 |
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... | ARMmbed__yotta-804 |
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... | ASFHyP3__hyp3-sdk-53 |
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... | ASFHyP3__hyp3-sdk-73 |
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... | ASPP__pelita-875 |
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... | Akkudoktor-EOS__EOS-459 |
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5... | [] | [
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... | Alexei-Kornienko__schematics_to_swagger-7 |
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... | ArkEcosystem__python-crypto-116 |
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... | ELIFE-ASU__Neet-114 |
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... | F5Networks__f5-common-python-1485 |
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... | F5Networks__f5-common-python-819 |
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... | FCP-INDI__cpac-43 |
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... | Fatal1ty__mashumaro-116 |
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... | Fatal1ty__mashumaro-127 |
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"40": "diag",... | Fatal1ty__mashumaro-145 |
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"40": "diag",... | Fatal1ty__mashumaro-159 |
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"40": "diag",... | Fatal1ty__mashumaro-185 |
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... | Fatal1ty__mashumaro-94 |
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... | Fortnite-API__py-wrapper-26 |
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... | G-Node__python-odml-195 |
End of preview.
STAR per-token training weights (seed 42)
These are the artifacts for STAR: Execution-Grounded, Typed Recovery Supervision for Coding-Agent SFT. Code: https://github.com/chaitanyamedidar/STAR
w_<arm>.npz: binary per-token loss weights for each pre-declared arm. A0 = baseline (all ones). A1 = random-k matched to A5. A2 = utility-only median base-loss cut. A4 = ungated T4/T5/T6 control. A5 = STAR (gated T4 recovery spans force-kept plus utility cut). A5-corr = the corrective-only variant. Only the A0, A5 and A2 adapters were trained: star-A0, star-A5, star-A2.weights_manifest.json: build manifest. Itsw_sha256values hash the weight arrays, not the npz files.annotations.jsonl: output ofannotate_messages.py. It holds only message indices and turn kinds, with no text.stage1_labels_heldout*.jsonl,stage1_gate_labels.json: Stage-1 human labels and the gate result.
No trajectory text and no SWE-Lego source code are included. Weights are aligned to Qwen/Qwen3-8B tokenisation of SWE-Lego Real, rebuilt with the repo scripts.
| file | sha256 |
|---|---|
| LICENSE | cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30 |
| NOTICE | b433188ea29b37eb2f608f1ca70837f0e10a7b09af86cd3f5004591e36b0821c |
| annotations.jsonl | 7a8e3873b5ac0212e1e2a677d421b9f86878e7e95c074ebddd780058b9f81d6b |
| stage1_gate_labels.json | 6ff59614740e37ee3e920095bd1c99f2192c331df24024ad040c19c40146ddc9 |
| stage1_labels_heldout.jsonl | 11797adaab4e2a50af7aabafb856723c870fcb9d9301e9bf89132548228f21f1 |
| stage1_labels_heldout_resolved.jsonl | 87c252dbf1f071ebb5adb86a23fb3b1df2152d463a940428def51ac7437fbd61 |
| w_A0.npz | ffad447aef36a064cff5dfed9f4a695b0c2171109d4a6c71d43bbcac800a560d |
| w_A1.npz | fc6a43988f474711b0fffe719896fcc94b47075ce7dcd0127ce4388e72a74141 |
| w_A2.npz | 0652bbb493334ddb76dd4e0e761918ba16833ce35ba02ba8a7781f0074aa4b1a |
| w_A4.npz | 8e8be06c281ea97f65eb81a9d2935d41673c0fb7daea0cb8741422351a1bd5b7 |
| w_A5-corr.npz | 0e29840c349ff2601cccd2b46609b35b15f43a175340feefbdb493085bb5875b |
| w_A5.npz | f921f7a905d47e22ce434b6b3e2559458dc50697cfcae440d00261439dfe7466 |
| weights_manifest.json | d36616f86e4d89388d4e0393130a8f20712abe01a7b70556937145f2d6355f86 |
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