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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 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.
pkl unknown | __key__ string | __url__ string |
|---|---|---|
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46... | par_test3/agent_d1/415c745ce5134ce98e99046583055952/ckpt/init | hf://datasets/AuroraRyan2/Pxform-benchmark-data@51d79d186a2acbba17f8a2f5293cfbda876d7e50/chains/par_test3_agent_d1.tar |
"gASVCwEAAAAAAAB9lCiMBnBpZWNlc5R9lCiMDGFuY2hvcl90b3Jzb5SMDHRyaW1lc2guYmFzZZSMB1RyaW1lc2iUk5QpgZR9lCi(...TRUNCATED) | par_test3/agent_d1/415c745ce5134ce98e99046583055952/ckpt/turn01 | "hf://datasets/AuroraRyan2/Pxform-benchmark-data@51d79d186a2acbba17f8a2f5293cfbda876d7e50/chains/par(...TRUNCATED) |
"gASVCwEAAAAAAAB9lCiMBnBpZWNlc5R9lCiMDGFuY2hvcl90b3Jzb5SMDHRyaW1lc2guYmFzZZSMB1RyaW1lc2iUk5QpgZR9lCi(...TRUNCATED) | par_test3/agent_d1/415c745ce5134ce98e99046583055952/ckpt/turn02 | "hf://datasets/AuroraRyan2/Pxform-benchmark-data@51d79d186a2acbba17f8a2f5293cfbda876d7e50/chains/par(...TRUNCATED) |
"gASVCwEAAAAAAAB9lCiMBnBpZWNlc5R9lCiMDGFuY2hvcl90b3Jzb5SMDHRyaW1lc2guYmFzZZSMB1RyaW1lc2iUk5QpgZR9lCi(...TRUNCATED) | par_test3/agent_d1/415c745ce5134ce98e99046583055952/ckpt/turn03 | "hf://datasets/AuroraRyan2/Pxform-benchmark-data@51d79d186a2acbba17f8a2f5293cfbda876d7e50/chains/par(...TRUNCATED) |
"gASVCwEAAAAAAAB9lCiMBnBpZWNlc5R9lCiMDGFuY2hvcl90b3Jzb5SMDHRyaW1lc2guYmFzZZSMB1RyaW1lc2iUk5QpgZR9lCi(...TRUNCATED) | par_test3/agent_d1/415c745ce5134ce98e99046583055952/ckpt/turn04 | "hf://datasets/AuroraRyan2/Pxform-benchmark-data@51d79d186a2acbba17f8a2f5293cfbda876d7e50/chains/par(...TRUNCATED) |
"gASVCwEAAAAAAAB9lCiMBnBpZWNlc5R9lCiMDGFuY2hvcl90b3Jzb5SMDHRyaW1lc2guYmFzZZSMB1RyaW1lc2iUk5QpgZR9lCi(...TRUNCATED) | par_test3/agent_d1/415c745ce5134ce98e99046583055952/ckpt/turn05 | "hf://datasets/AuroraRyan2/Pxform-benchmark-data@51d79d186a2acbba17f8a2f5293cfbda876d7e50/chains/par(...TRUNCATED) |
"gASVCwEAAAAAAAB9lCiMBnBpZWNlc5R9lCiMDGFuY2hvcl90b3Jzb5SMDHRyaW1lc2guYmFzZZSMB1RyaW1lc2iUk5QpgZR9lCi(...TRUNCATED) | par_test3/agent_d1/415c745ce5134ce98e99046583055952/ckpt/turn06 | "hf://datasets/AuroraRyan2/Pxform-benchmark-data@51d79d186a2acbba17f8a2f5293cfbda876d7e50/chains/par(...TRUNCATED) |
"gASVCwEAAAAAAAB9lCiMBnBpZWNlc5R9lCiMDGFuY2hvcl90b3Jzb5SMDHRyaW1lc2guYmFzZZSMB1RyaW1lc2iUk5QpgZR9lCi(...TRUNCATED) | par_test3/agent_d1/415c745ce5134ce98e99046583055952/ckpt/turn07 | "hf://datasets/AuroraRyan2/Pxform-benchmark-data@51d79d186a2acbba17f8a2f5293cfbda876d7e50/chains/par(...TRUNCATED) |
"gASVCwEAAAAAAAB9lCiMBnBpZWNlc5R9lCiMDGFuY2hvcl90b3Jzb5SMDHRyaW1lc2guYmFzZZSMB1RyaW1lc2iUk5QpgZR9lCi(...TRUNCATED) | par_test3/agent_d1/415c745ce5134ce98e99046583055952/ckpt/turn08 | "hf://datasets/AuroraRyan2/Pxform-benchmark-data@51d79d186a2acbba17f8a2f5293cfbda876d7e50/chains/par(...TRUNCATED) |
"gASVCwEAAAAAAAB9lCiMBnBpZWNlc5R9lCiMDGFuY2hvcl90b3Jzb5SMDHRyaW1lc2guYmFzZZSMB1RyaW1lc2iUk5QpgZR9lCi(...TRUNCATED) | par_test3/agent_d1/415c745ce5134ce98e99046583055952/ckpt/turn09 | "hf://datasets/AuroraRyan2/Pxform-benchmark-data@51d79d186a2acbba17f8a2f5293cfbda876d7e50/chains/par(...TRUNCATED) |
End of preview.
Pxform benchmark — self-produced data
Companion data for the private repo AuroraRyan0301/Pxform_test (3D long-chain
editing benchmark). This repo carries ONLY what we produced ourselves — nothing
here is downloadable upstream. Raw assets are NOT included: get PartVerse-XL from
dscdyc/partversexl (82 files; extract textured_part_glbs + normalized_glbs
into pv_textured/, anno_infos.tar.gz into partverse_anno/).
Layout
| path | size | what |
|---|---|---|
qwen3/captions_qwen3.json |
269M | Full Qwen3-VL-32B re-annotation, raw per-object merge (37,348 objects) |
qwen3/text_captions_qwen3.json |
244M | Part captions in PartVerse text_captions.json format — the file captions_path() resolves to |
qwen3/objects_qwen3.json |
26M | Object-level captions (new in Qwen3 pass; Qwen2.5 had none) |
embed_db/lib_vecs.npy + lib_meta.json |
566M | MiniLM-L6-v2 retrieval library over 291,813 Qwen3 part captions. Regenerable from captions, but bit-exact chain reproduction needs THIS copy |
embed_db/lib_*_qwen25.* |
100M | Qwen2.5-era library (for the embedding-vs-pool comparison) |
embed_db/obj_vecs.npy + obj_meta.json |
53M | Object-level vectors |
embed_db/query_vecs.npz |
0.6M | Cached slot-query vectors |
registry/registry_misc.tar |
~5M | slot_registry.json (human-verified slot groupings — NOT regenerable), pools' group jsons, chain configs, par_test3 STATUS reports |
annot_full_light/annot_light_p{0..3}.tar |
~3G | Per-object select.json (visibility gate input for auto_slots), captions.json, face_ids.npy — extract into annot_full/ |
chains/par_test3_agent_d{1..5}.tar |
30G | Batch-2 replacement chains: per-turn glb + 4-view renders + closeups + checkpoints + place reports. This IS the benchmark ground truth so far |
annot_full_renders/annot_renders_p{0..f}.tar |
~88G | OPTIONAL. Multi-view renders used for VLM annotation (obj/ + p*/ per object). Only needed to re-annotate or audit; regenerating costs ~103 GPU-hours |
Extract all tars from the dataset root (paths inside are annot_full/...,
par_test3/..., etc.). See REPRODUCE.md for the from-zero setup checklist.
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