Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' 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 4523, 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 2768, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2972, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2483, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 364, 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.
Has GPT-6-Astra Achieved Embodied Intelligence? - Benchmark Test Log
Useful links
News
- [2026-10-16] Benchmark test logs for 11 benchmarks released.
- [2026-10-16] Report, code, and packages of Has GPT-6-Astra Achieved Embodied Intelligence? released.
Overview
This directory contains the evaluation logs, interaction records, and videos for 11 benchmarks, with one ZIP per benchmark. The root folder inside each ZIP is the benchmark name; for example, RoboLab.zip extracts to RoboLab/. All files have been redacted to remove personal and account information.
- The ZIPs total 75.44 GiB (81,007,181,273 bytes) and 86.79 GiB after extraction, with 42,931 files and 5,888 videos.
- All sizes use binary units (1 GiB = 1024³ bytes).
SHA256SUMSlists the SHA-256 of each ZIP. Verify withshasum -a 256 -c SHA256SUMSon macOS orsha256sum -c SHA256SUMSon Linux.- This release does not include the BEHAVIOR or real-world experiment records.
| Benchmark | ZIP | ZIP size | Files | Tasks | Episodes | Videos (mp4) |
|---|---|---|---|---|---|---|
| RoboDojo | RoboDojo.zip |
13.62 GiB | 1,941 | 42 | 210 | 1,101 |
| Bench2Dex | Bench2Dex.zip |
1.43 GiB | 629 | 26 | 78 | 156 |
| DexJoCo | DexJoCo.zip |
921.09 MiB | 564 | 11 | 55 | 112 |
| LIBERO-PRO | LIBERO-PRO.zip |
263.79 MiB | 14,513 | 80 | 800 | 800 |
| LIBERO-Long++ | LIBERO-Long++.zip |
37.68 MiB | 2,176 | 12 | 120 | 120 |
| LIBERO-Ultra-Long | LIBERO-Ultra-Long.zip |
107.15 MiB | 1,668 | 9 | 90 | 90 |
| RoboLab | RoboLab.zip |
54.74 GiB | 7,328 | 120 | 1,200 | 2,400 |
| SIMPLE | SIMPLE.zip |
2.78 GiB | 9,601 | 6 | 313 | 667 |
| LHPR-VLN | LHPR-VLN.zip |
225.57 MiB | 2,159 | 114 | 114 | 204 |
| VLN-CE-R2R | VLN-CE-R2R.zip |
469.85 MiB | 1,185 | 100 | 100 | 120 |
| VLN-CE-RxR | VLN-CE-RxR.zip |
910.90 MiB | 1,167 | 100 | 100 | 118 |
| Total | 11 | 75.44 GiB | 42,931 | 3,180 | 5,888 |
Notes:
- In the three VLN datasets, each episode is a separate navigation instruction, so the task count equals the episode count.
- SIMPLE's 313 episodes consist of 255 episodes from the four-task set (XMovePick, BendPick, Handover, Tabletop), 35 XMoveBendPick runs, and 23 Pick Between Tables episodes.
- These are trajectories on the official evaluation sets. Using them for training would leak test data for the corresponding benchmark cases.
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