Hugging Face's logo

Datasets:
lijinghai
/
RabbitRobot-VLN-Recovery-Mini

Tasks:
Text Classification
Question Answering
Reinforcement Learning
Languages:
Chinese
English
Tags:
robotics
ros2
nav2
vision-language-navigation
embodied-ai
amr
License:
Dataset card Files
xet
 Community
Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
$schema: string
title: string
type: string
required: list<item: string>
  child 0, item: string
properties: struct<episode_id: struct<type: string, description: string>, instruction_zh: struct<type: string, d (... 754 chars omitted)
  child 0, episode_id: struct<type: string, description: string>
      child 0, type: string
      child 1, description: string
  child 1, instruction_zh: struct<type: string, description: string>
      child 0, type: string
      child 1, description: string
  child 2, instruction_en: struct<type: string, description: string>
      child 0, type: string
      child 1, description: string
  child 3, environment_type: struct<type: string, description: string>
      child 0, type: string
      child 1, description: string
  child 4, start_region: struct<type: string, description: string>
      child 0, type: string
      child 1, description: string
  child 5, goal_semantics: struct<type: string, items: struct<type: string>>
      child 0, type: string
      child 1, items: struct<type: string>
          child 0, type: string
  child 6, nominal_behavior: struct<type: string, items: struct<type: string>>
      child 0, type: string
      child 1, items: struct<type: string>
          child 0, type: string
  child 7, deviation_event: struct<type: string, description: string>
      child 0, type: string
      child 1, description: string
  child 8, observable_signals: struct<type: string, items: struct<type: string>>
      child 0, type: string
      child 1, items: struct<type: string>
          child 0, type: string
  child 9, recovery_policy: struct<type: string, description: string>
      child 0, type: string
      child 1, description: string
  child 10, success_criteria: struct<type: string, items: struct<type: string>>
      child 0, type: string
      child 1, items: struct<type: string>
          child 0, type: string
  child 11, failure_modes: struct<type: string, items: struct<type: string>>
      child 0, type: string
      child 1, items: struct<type: string>
          child 0, type: string
  child 12, ros_topics: struct<type: string, items: struct<type: string>>
      child 0, type: string
      child 1, items: struct<type: string>
          child 0, type: string
  child 13, notes_zh: struct<type: string>
      child 0, type: string
observable_signals: list<item: string>
  child 0, item: string
ros_topics: list<item: string>
  child 0, item: string
success_criteria: list<item: string>
  child 0, item: string
goal_semantics: list<item: string>
  child 0, item: string
failure_modes: list<item: string>
  child 0, item: string
environment_type: string
episode_id: string
recovery_policy: string
start_region: string
notes_zh: string
instruction_en: string
deviation_event: string
nominal_behavior: list<item: string>
  child 0, item: string
instruction_zh: string
to
{'episode_id': Value('string'), 'instruction_zh': Value('string'), 'instruction_en': Value('string'), 'environment_type': Value('string'), 'start_region': Value('string'), 'goal_semantics': List(Value('string')), 'nominal_behavior': List(Value('string')), 'deviation_event': Value('string'), 'observable_signals': List(Value('string')), 'recovery_policy': Value('string'), 'success_criteria': List(Value('string')), 'failure_modes': List(Value('string')), 'ros_topics': List(Value('string')), 'notes_zh': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in 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 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              $schema: string
              title: string
              type: string
              required: list<item: string>
                child 0, item: string
              properties: struct<episode_id: struct<type: string, description: string>, instruction_zh: struct<type: string, d (... 754 chars omitted)
                child 0, episode_id: struct<type: string, description: string>
                    child 0, type: string
                    child 1, description: string
                child 1, instruction_zh: struct<type: string, description: string>
                    child 0, type: string
                    child 1, description: string
                child 2, instruction_en: struct<type: string, description: string>
                    child 0, type: string
                    child 1, description: string
                child 3, environment_type: struct<type: string, description: string>
                    child 0, type: string
                    child 1, description: string
                child 4, start_region: struct<type: string, description: string>
                    child 0, type: string
                    child 1, description: string
                child 5, goal_semantics: struct<type: string, items: struct<type: string>>
                    child 0, type: string
                    child 1, items: struct<type: string>
                        child 0, type: string
                child 6, nominal_behavior: struct<type: string, items: struct<type: string>>
                    child 0, type: string
                    child 1, items: struct<type: string>
                        child 0, type: string
                child 7, deviation_event: struct<type: string, description: string>
                    child 0, type: string
                    child 1, description: string
                child 8, observable_signals: struct<type: string, items: struct<type: string>>
                    child 0, type: string
                    child 1, items: struct<type: string>
                        child 0, type: string
                child 9, recovery_policy: struct<type: string, description: string>
                    child 0, type: string
                    child 1, description: string
                child 10, success_criteria: struct<type: string, items: struct<type: string>>
                    child 0, type: string
                    child 1, items: struct<type: string>
                        child 0, type: string
                child 11, failure_modes: struct<type: string, items: struct<type: string>>
                    child 0, type: string
                    child 1, items: struct<type: string>
                        child 0, type: string
                child 12, ros_topics: struct<type: string, items: struct<type: string>>
                    child 0, type: string
                    child 1, items: struct<type: string>
                        child 0, type: string
                child 13, notes_zh: struct<type: string>
                    child 0, type: string
              observable_signals: list<item: string>
                child 0, item: string
              ros_topics: list<item: string>
                child 0, item: string
              success_criteria: list<item: string>
                child 0, item: string
              goal_semantics: list<item: string>
                child 0, item: string
              failure_modes: list<item: string>
                child 0, item: string
              environment_type: string
              episode_id: string
              recovery_policy: string
              start_region: string
              notes_zh: string
              instruction_en: string
              deviation_event: string
              nominal_behavior: list<item: string>
                child 0, item: string
              instruction_zh: string
              to
              {'episode_id': Value('string'), 'instruction_zh': Value('string'), 'instruction_en': Value('string'), 'environment_type': Value('string'), 'start_region': Value('string'), 'goal_semantics': List(Value('string')), 'nominal_behavior': List(Value('string')), 'deviation_event': Value('string'), 'observable_signals': List(Value('string')), 'recovery_policy': Value('string'), 'success_criteria': List(Value('string')), 'failure_modes': List(Value('string')), 'ros_topics': List(Value('string')), 'notes_zh': Value('string')}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

RabbitRobot VLN Recovery Mini

Part of RabbitRobot VLN & Open Robot Assets: public demos and datasets distilled from real ROS 2 robot engineering.

这是一个面向真实 AMR 视觉语言导航的公开 mini dataset / schema demo。

它服务于 lijinghai 的 RabbitRobot_VLN 主线：把“自然语言目标 - 视觉/地图 grounding - waypoint policy - Nav2 执行 - 偏航检测 - 可验证恢复”整理成可复现实验条目。当前版本不上传原始相机图像、rosbag、真实室内地图或私有现场数据，而是公开一组脱敏后的任务描述、异常类型、可观测信号和恢复策略标签。

Dataset intent

这个数据集不是为了证明“我已经有大模型权重”，而是为了证明：

  • 我理解真实 VLN 不只是语言理解，还包括机器人状态、地图约束和执行闭环；
  • 我关注长程导航中会反复出现的偏航、目标歧义、局部避障和恢复问题；
  • 我能把真实机器人实验设计抽象成别人可以复现、标注、扩展的数据结构；
  • 后续可以接入 VLM、Nav2、rosbag replay 和真实 AMR 评估。

Files

  • data/vln_recovery_mini.jsonl: 10 条公开 episode 示例。
  • schemas/vln_recovery_schema.json: 字段说明和类型约束。

Suggested uses

  • VLN recovery policy prompt / evaluation design;
  • embodied navigation task card generation;
  • ROS 2 navigation failure analysis;
  • recruiter-facing technical evidence for RabbitRobot_VLN.

Privacy note

本仓库只包含脱敏任务卡和 schema，不包含真实人脸、语音、家庭/实验室定位信息、内网 IP、token、私有 repo 链接或原始机器人运行数据。

更多项目经历见：
Downloads last month
-
Total file size:
17.6 kB

Space using lijinghai/RabbitRobot-VLN-Recovery-Mini 1

Collection including lijinghai/RabbitRobot-VLN-Recovery-Mini