The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ParserError
Message: Error tokenizing data. C error: Expected 1 fields in line 24, saw 2
Traceback: 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/csv/csv.py", line 198, in _generate_tables
for batch_idx, df in enumerate(csv_file_reader):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
return self.get_chunk()
~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
return self.read(nrows=size)
~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1923, in read
) = self._engine.read( # type: ignore[attr-defined]
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
nrows
^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
chunks = self._reader.read_low_memory(nrows)
File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 24, saw 2Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Camera-ready rebuttal figures — Feedback World Model Enables Precise Guidance of Diffusion Policy (NeurIPS 2026)
camera_ready_rebuttal_figures.zip contains 12 candidate figures (14 files, each as vector PDF, SVG and
300 dpi PNG), a print-size preview (atlas/figure_atlas.pdf), ready-to-use LaTeX captions (captions.tex),
a Chinese guide to every figure (FIGURE_GUIDE_zh.md), a data audit, verification reports, the reported
values used (source_data/) and the plotting code (python3 make_all_figures.py regenerates everything).
All numbers are aggregates reported in the manuscript and the author responses; nothing was imputed or simulated.
Status: these are candidate figures for the camera-ready version, not final published results. In
particular, the real-robot 95% Wilson intervals (real_world_success_ci_provisional*) assume success counts
of N x reported rate (N = 20) and are provisional until checked against the evaluation logs. Open items are
listed in data_audit.md and FIGURE_GUIDE_zh.md.
Update 2026-10-17: recovered missing statistics
camera_ready_missing_statistics.zip fills two evidence gaps of the camera-ready draft, recomputed from the
per-episode records of the original evaluations (no new experiments):
- Residual time series (four LIBERO-Plus scenes x standard / camera-viewpoint OOD): median and IQR across episodes, per feedback update and on a normalized-progress axis.
- Nine-task x three-method latent prediction MSE: episode-level mean +/- SEM, plus a version with the original figure's step-pooled estimator.
The package includes figures (PDF/SVG/PNG), captions, generated LaTeX tables, step-level data, a source manifest
with file hashes, an audit of the original protocols, and a verification report. GUIDE_AND_CONCERNS_zh.md
(Chinese) explains every figure and lists the open issues. Notably, the rebuttal's residual table pooled
Light-Conditions episodes into its "Standard OOD" cohort, and the published figure mixed two MSE estimators.
These are working materials, not final published results.
论文 camera-ready 的 rebuttal 候选配图包：12 张图（14 个文件，每个都有 PDF / SVG / 300 dpi PNG）、按印刷尺寸排版的图集、
LaTeX 图注、中文逐图说明（FIGURE_GUIDE_zh.md）、数据审计与校验报告、所用数值和绘图源码。真机 Wilson 区间所用的成功次数
是按 N × 成功率倒推的，尚待日志核实。
camera_ready_missing_statistics.zip（2026-10-17）：残差时间曲线与九任务 MSE mean ± SEM 的补齐结果、图注、数据与核验报告；GUIDE_AND_CONCERNS_zh.md 给出逐图说明与需要作者确认的问题。
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