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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Cannot write struct type 'stops' with no child field to Parquet. Consider adding a dummy child field.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
                  for key, record 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/webdataset/webdataset.py", line 127, in _generate_examples
                  for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
                                              ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
                  for filename, f in tar_iterator:
                                     ^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
                  for x in self.generator(*self.args):
                           ~~~~~~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1400, in _iter_from_urlpath
                  with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
                       ~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 977, in xopen
                  file_obj = fs.open(paths[0], mode)
                File "<string>", line 3, in open
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
                  return self._mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
                  return self._execute_mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
                  result = effect(*args, **kwargs)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
                  tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
                                                               ~~~^^^^^^^^
              TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1562, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 808, in finalize
                  self._build_writer(self.schema)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 834, in _build_writer
                  self.pa_writer = pq.ParquetWriter(
                                   ~~~~~~~~~~~~~~~~^
                      self.stream,
                      ^^^^^^^^^^^^
                  ...<9 lines>...
                      },
                      ^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 1115, in __init__
                  self.writer = _parquet.ParquetWriter(
                                ~~~~~~~~~~~~~~~~~~~~~~^
                      sink, schema,
                      ^^^^^^^^^^^^^
                  ...<20 lines>...
                      max_rows_per_page=max_rows_per_page,
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      **options)
                      ^^^^^^^^^^
                File "pyarrow/_parquet.pyx", line 2430, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'stops' with no child field to Parquet. Consider adding a dummy child field.
              
              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 1393, 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 1571, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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json
dict
__key__
string
__url__
string
{ "model_key": "qwen-1p5b", "run_id": "train-qwen-1p5b-2148255", "optimizer_step": 1000, "rank": 0, "stage": "train", "policy_reference": "Original base checkpoint at RL step 0", "training_arm": "base-grpo", "initial_model": "Qwen/Qwen2.5-1.5B", "initial_revision": "8faed761d45a263340a0528343f099c05c9...
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{ "model_key": null, "run_id": null, "optimizer_step": null, "rank": null, "stage": null, "policy_reference": null, "training_arm": null, "initial_model": null, "initial_revision": null, "final_model": null, "intermediate_checkpoints": null, "nonzero_gradient_updates": null, "zero_gradient_upd...
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End of preview.

OpenR1 SFT and GRPO training logs

Publication is complete: all nine completed runs are preserved and verified. This backup contains 45,803 source files (144.44 GB), compressed into 114.02 GB of archives. Sizes use decimal GB.

This is the OpenR1 token-level study, separate from the OPD study. The backup covers four completed SFT runs, three completed SFT-to-GRPO runs, and two completed base-to-GRPO runs. Each GRPO run finished 1,000 updates.

Arm Model Run Source files Archive GB
sft qwen-1p5b sft-qwen-1p5b-2147962 1090 2.16
sft qwen-math-1p5b sft-qwen-math-1p5b-2147963 1095 2.23
sft qwen-3b sft-qwen-3b-2147985 1019 2.06
sft qwen-instruct-3b sft-qwen-instruct-3b-2147964 1089 2.04
sft-grpo qwen-math-1p5b train-qwen-math-1p5b-2148096 8302 28.92
sft-grpo qwen-3b train-qwen-3b-2148097 8302 26.86
sft-grpo qwen-1p5b train-qwen-1p5b-2148098 8302 28.20
base-grpo qwen-math-1p5b train-qwen-math-1p5b-2148254 8302 10.64
base-grpo qwen-1p5b train-qwen-1p5b-2148255 8302 10.91

The archives preserve token exports, raw rollout traces, fixed-probe evaluations and generations, native metrics, per-rank training metrics, resolved configurations, system logs, and existing plots and their source inputs. Final model weights are published separately in the study collection.

Token records include top-20 probabilities and logits, full-distribution entropy, selected-token probabilities, and RL loss diagnostics. SFT per-token measurements come from fixed probes. GRPO includes token exports for every training update. Full-vocabulary logit arrays were not stored.

Every archive contains a MANIFEST.json with the size and SHA-256 checksum of each archived source file. Every member was decompressed and checked before publication. Archive sizes and SHA-256 hashes were also checked independently on the second cluster filesystem and against the public Hugging Face LFS metadata. Credential-pattern scans passed before publication.

The manifests/ directory contains the per-file inventories and verification receipts. The metadata/ directory contains the archive checksums, source-run inventory, completion records, and the backup implementation. Failed and incomplete runs are excluded. Model weights, temporary weight broadcasts, intermediate checkpoints, and symlinks are excluded.

After downloading the repository, verify its archives with:

cd archives
shasum -a 256 -c ../metadata/SHA256SUMS

Inspect a chosen archive with:

zstd -d ARCHIVE.tar.zst
tar -tf ARCHIVE.tar
tar -xf ARCHIVE.tar

This repository is a raw research backup, not a new training dataset. Published source dataset and model terms continue to apply.

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