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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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 1405, 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 982, 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'
              
              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
{ "0038037ad683bb76": { "proposer": "iter1/_proposer_0038037ad683bb76.json", "round": 1, "wall": "A42" }, "0a195fab59e5e02e": { "proposer": "iter1/_proposer_0a195fab59e5e02e.json", "round": 1, "wall": "A23" }, "11b90eaf6cf30908": { "proposer": "iter1/_proposer_11b90eaf6cf30908.json...
trsi_archive/rawprop-sol-armA/wall_env_map
hf://datasets/msr-spare-1/trsi-proposer-trajectories@760ad776499a4057d5130a3ea71ad307bd9cce9d/env_paired_archive.tar.gz
{"0038037ad683bb76":null,"0a195fab59e5e02e":null,"11b90eaf6cf30908":null,"1941b7d063876d9e":null,"1b(...TRUNCATED)
trsi_archive/rawprop-sol-armA/iter1/_proposer_6d283732f73c2e1e
"hf://datasets/msr-spare-1/trsi-proposer-trajectories@760ad776499a4057d5130a3ea71ad307bd9cce9d/env_p(...TRUNCATED)
{"0038037ad683bb76":null,"0a195fab59e5e02e":null,"11b90eaf6cf30908":null,"1941b7d063876d9e":null,"1b(...TRUNCATED)
trsi_archive/rawprop-sol-armA/iter1/_proposer_aee27d02397b76e7
"hf://datasets/msr-spare-1/trsi-proposer-trajectories@760ad776499a4057d5130a3ea71ad307bd9cce9d/env_p(...TRUNCATED)
{"0038037ad683bb76":null,"0a195fab59e5e02e":null,"11b90eaf6cf30908":null,"1941b7d063876d9e":null,"1b(...TRUNCATED)
trsi_archive/rawprop-sol-armA/iter1/_proposer_d0b1ce69b98c4b70
"hf://datasets/msr-spare-1/trsi-proposer-trajectories@760ad776499a4057d5130a3ea71ad307bd9cce9d/env_p(...TRUNCATED)
{"0038037ad683bb76":null,"0a195fab59e5e02e":null,"11b90eaf6cf30908":null,"1941b7d063876d9e":null,"1b(...TRUNCATED)
trsi_archive/rawprop-sol-armA/iter1/_proposer_3f7bbbf90b5b8068
"hf://datasets/msr-spare-1/trsi-proposer-trajectories@760ad776499a4057d5130a3ea71ad307bd9cce9d/env_p(...TRUNCATED)
{"0038037ad683bb76":null,"0a195fab59e5e02e":null,"11b90eaf6cf30908":null,"1941b7d063876d9e":null,"1b(...TRUNCATED)
trsi_archive/rawprop-sol-armA/iter1/_proposer_fa693b75738ce078
"hf://datasets/msr-spare-1/trsi-proposer-trajectories@760ad776499a4057d5130a3ea71ad307bd9cce9d/env_p(...TRUNCATED)
{"0038037ad683bb76":null,"0a195fab59e5e02e":null,"11b90eaf6cf30908":null,"1941b7d063876d9e":null,"1b(...TRUNCATED)
trsi_archive/rawprop-sol-armA/iter1/_proposer_38416a9a7a35be37
"hf://datasets/msr-spare-1/trsi-proposer-trajectories@760ad776499a4057d5130a3ea71ad307bd9cce9d/env_p(...TRUNCATED)
{"0038037ad683bb76":null,"0a195fab59e5e02e":null,"11b90eaf6cf30908":null,"1941b7d063876d9e":null,"1b(...TRUNCATED)
trsi_archive/rawprop-sol-armA/iter1/_proposer_6d23f22b4ffd5886
"hf://datasets/msr-spare-1/trsi-proposer-trajectories@760ad776499a4057d5130a3ea71ad307bd9cce9d/env_p(...TRUNCATED)
{"0038037ad683bb76":null,"0a195fab59e5e02e":null,"11b90eaf6cf30908":null,"1941b7d063876d9e":null,"1b(...TRUNCATED)
trsi_archive/rawprop-sol-armA/iter1/_proposer_1b0b4770766426c5
"hf://datasets/msr-spare-1/trsi-proposer-trajectories@760ad776499a4057d5130a3ea71ad307bd9cce9d/env_p(...TRUNCATED)
{"0038037ad683bb76":null,"0a195fab59e5e02e":null,"11b90eaf6cf30908":null,"1941b7d063876d9e":null,"1b(...TRUNCATED)
trsi_archive/rawprop-sol-armA/iter1/_proposer_eb78c9eeed56f4c3
"hf://datasets/msr-spare-1/trsi-proposer-trajectories@760ad776499a4057d5130a3ea71ad307bd9cce9d/env_p(...TRUNCATED)
End of preview.

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Check out the documentation for more information.

TRSI raw proposer trajectories — 4-model comparison

Raw proposer sessions (_proposer.json) from the terminal-RSI proposer ablation, one folder per proposer model. Each _proposer.json holds the full session: steps (thinking / tool[bash,read,write,edit] / text), usage (input/output tokens, duration), prompt, system_prompt, and raw_output (raw transcript). Snapshot; kimi-k3 + qwen3.6-35b are still accumulating.

Layout

<model>/<pool>/full/<wall_id>/v<N>/output/_proposer.json

models: opus (claude-opus-4.8), sol (gpt-5.6-sol), kimi-k3, qwen3.6-35b. pools: armA-* / armtmax-* (opus/sol), armA-k3-48 / armtmax-k3-48 (kimi), prop-qwen35b-s1..s18 (qwen).

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