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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 1539, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 131, 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 1419, 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 976, 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 794, 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 1379, 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 956, 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 1401, 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 1579, 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.
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End of preview.
Daedalus × RoboDojo — partition 2 evaluation archive (seeds 0, 1, 2)
Complete run records of the Daedalus LLM robot-manipulation harness on RoboDojo partition 2 (11 tasks), eval seeds 0, 1 and 2, all 50 official layouts per task (1,649 scored episodes). Model: gpt-6-astra (reasoning effort high); external perception on (VGGT-Omega + SAM 3.1 service); native RoboDojo on NVIDIA RTX PRO 6000 Blackwell.
Results (official protocol)
Each cell: successes / valid episodes (success rate) - mean score (0–100). Official protocol (RoboDojo eval loop): layouts the environment invalidates (unstable scene at reset, or an invalid native episode such as a failed demonstration) are skipped and replaced by the next layout ids until 50 valid episodes (Generalization tasks: 25 standard + 25 random).
| Task | Dimension | Seed 0 | Seed 1 | Seed 2 | Seeds 0–2 |
|---|---|---|---|---|---|
| pack_objects_into_box | Generalization | 9/50 (18.0%) - 25.5 | 6/50 (12.0%) - 25.4 | 3/50 (6.0%) - 25.2 | 18/150 (12.0%) - 25.4 |
| stack_bowls | Generalization | 38/50 (76.0%) - 78.4 | 46/50 (92.0%) - 93.2 | 43/50 (86.0%) - 87.8 | 127/150 (84.7%) - 86.5 |
| fold_clothes | Generalization | 31/50 (62.0%) - 67.2 | 35/50 (70.0%) - 75.6 | 38/50 (76.0%) - 80.8 | 104/150 (69.3%) - 74.5 |
| pour_balls_into_vase | Precision | 16/50 (32.0%) - 32.0 | 19/50 (38.0%) - 38.0 | 22/50 (44.0%) - 44.0 | 57/150 (38.0%) - 38.0 |
| plug_in_charger | Precision | 12/50 (24.0%) - 24.0 | 8/50 (16.0%) - 16.0 | 11/50 (22.0%) - 22.0 | 31/150 (20.7%) - 20.7 |
| play_stacking_toy | Long-Horizon | 15/50 (30.0%) - 57.6 | 21/50 (42.0%) - 69.8 | 18/50 (36.0%) - 66.8 | 54/150 (36.0%) - 64.7 |
| fill_egg_holder | Long-Horizon | 1/50 (2.0%) - 12.2 | 0/50 (0.0%) - 10.4 | 0/49 (0.0%) - 10.6 | 1/149 (0.7%) - 11.1 |
| imitate_sorting_sequence | Memory | 48/50 (96.0%) - 96.3 | 45/50 (90.0%) - 91.5 | 48/50 (96.0%) - 98.0 | 141/150 (94.0%) - 95.3 |
| swap_T | Memory | 38/50 (76.0%) - 76.0 | 46/50 (92.0%) - 92.0 | 44/50 (88.0%) - 88.0 | 128/150 (85.3%) - 85.3 |
| pick_from_conveyor_by_image | Open | 24/50 (48.0%) - 48.0 | 24/50 (48.0%) - 48.0 | 17/50 (34.0%) - 34.0 | 65/150 (43.3%) - 43.3 |
| general_pickup | Open | 46/50 (92.0%) - 92.0 | 47/50 (94.0%) - 94.0 | 47/50 (94.0%) - 94.0 | 140/150 (93.3%) - 93.3 |
| Average | — | 278/550 (50.5%) - 55.4 | 297/550 (54.0%) - 59.4 | 291/549 (53.0%) - 59.3 | 866/1649 (52.5%) - 58.0 |
Seed 2 fill_egg_holder has 49 valid episodes: its last replacement layout (l53) stopped on an API quota error and was not rerun.
Code versions
| Seed | Scope | Daedalus code |
|---|---|---|
| 0 | layouts 0–14 (42-15 subset), 9 tasks | main 5721979 |
| 0 | layouts 0–14, pack_objects_into_box and fold_clothes; layouts 15–49 and replacements, all tasks | 5721979 + PR #40 (planner-checked grasp orientation in failure feedback; edge-pinch height for flat wide objects) |
| 0 | imitate_sorting_sequence, all layouts | main ee3f47d (task-instruction overrides and task notes) |
| 1, 2 | all | main ee3f47d, unchanged |
Environment-invalid layouts replaced under the official protocol:
- seed 0: fill_egg_holder l28, l35, l37 → l50–l52; general_pickup l29 → l50; imitate_sorting_sequence l4, l8, l17, l36, l48 → l50–l54.
- seed 1: fill_egg_holder l15, l20 → l50, l51; general_pickup l5 → l50; imitate_sorting_sequence l3, l18, l33, l34, l44 → l50–l54.
- seed 2: fill_egg_holder l13, l18, l40 → l50–l52, l51 invalid again → l53; imitate_sorting_sequence l8, l16, l24, l32, l40, l43 → l50–l55.
Repository layout
README.md
reports/ per-seed results and case lists, weak-task failure analysis
seed0/1030_part2_seed0_50_main5721979_fix_n1/
seed1/1030_part2_seed1_50_main-ee3f47d_n1/
seed2/1030_part2_seed2_50_main-ee3f47d_n1n4/
README.md setup, which runs count, replaced layouts
cases_*.json one row per counted episode (success, score, termination, model calls, run_dir)
*.combined-results.json per-task and total summary
manifests/ queues/ benchmark queue inputs and event logs
runs/<batch>/<case>.tar.zst one archive per episode
Each runs/<batch>/<case>.tar.zst extracts to the episode directory: summary.json, evaluation.json (native
RoboDojo result), events.sqlite (full event log), codex-raw.jsonl (model transcript), blobs/ (observation
payloads), private/robot/ (simulator logs), video.json. Batches can include episodes that do not count
(interrupted, replaced or superseded); cases_*.json lists the counted ones.
zstd -dc seed1/1030_part2_seed1_50_main-ee3f47d_n1/runs/ee3-s1-g4/swap_T__standard__g1__l0.tar.zst | tar -xf -
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