Dataset Viewer
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Cannot extract the features (columns) for the split 'test' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: JSON parse error: Invalid value. in row 0
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
df = pandas_read_json(f)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
return json_reader.read()
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
obj = self._get_object_parser(self.data)
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
obj = FrameParser(json, **kwargs).parse()
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
self._parse()
~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1392, in _parse
ujson_loads(json, precise_float=self.precise_float), dtype=None
~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 327, in _generate_tables
raise e
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
LIBERO-90 offline-eval validation rig — day 1 (2026-09-09, box 40110) and day 2 (2026-09-10, box 42146)
Root: day-1 zips (see the table below). day2_2026-09-10/: the same folders re-zipped after day 2 plus the new ones.
| day-2 zip | contents |
|---|---|
| cimse.zip | CI-MSE run on the held-out set: task-aware 4-segment VLM annotation (annot/intervals.json), report.md (per episode per segment + ranking), rollouts_report.md (same on the 150 rollouts), confusion.md, scripts |
| offline_eval.zip | metric package + out/: day-2 outputs llr.* (likelihood ratio), sim_object_pose.* (object-relative event pose, outcome stage hits, v1–v4), sim_event_pose.*, REPORT_2026-09-10.md, plus everything from day 1 |
| runs.zip | the 150 recorded rollouts (unchanged) |
| libero_ds.zip | held-out set, training-demo sample, raw parquet, 15 LIBERO-90 HDF5s (unchanged) |
| renders.zip / renders_pairs.zip | 15 rendered rollouts (5 success / 5 failed holding / 5 closed on air) and the same 15 side by side with a demo, CI-MSE worst-segment flags |
| eval.zip / ci_mse.tgz | the fd-studio ci_mse package (annotator + validate.py) as used |
| eval_run.zip / logs.zip | dataset builders, launch scripts, recorder patch; every job log |
Reports: fd/sdk/contexts/reports/offline_eval_validation_libero90_2026-09-{09,10}.md. Checkpoint: lerobot/pi05_libero_finetuned_v044 (not included).
Day-1 zips (root)
| zip | contents |
|---|---|
| offline_eval.zip | the metric package (run_all.sh, scripts, sim/), all outputs in out/ incl. REPORT.md, profile.md, pairing.md, chunk dumps (h5), anchors, defect ladder, sim replay results |
| runs.zip | the 150 recorded rollouts (libero90_10tasks_n10_s1000/recordings, v3 datasets with both cameras), eval_info.json, the aborted sync run, the async speed test |
| libero_ds.zip | libero90_eval50 (held-out set), libero_eval120 (training-demo sample), libero_partial (raw HuggingFaceVLA/libero files), libero90_raw (raw jesbu1 parquet), libero90_hdf5 (15 LIBERO-90 task HDF5s with MuJoCo states) |
| eval_run.zip | dataset builders, selection files, closed-loop launch scripts, recorder patch |
| logs.zip | every job log |
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