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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
schema_version: int64
firmwares: list<item: struct<firmware_id: string, version: string, repo_id: string, commit: string, size: int64 (... 226 chars omitted)
  child 0, item: struct<firmware_id: string, version: string, repo_id: string, commit: string, size: int64, sha256: s (... 214 chars omitted)
      child 0, firmware_id: string
      child 1, version: string
      child 2, repo_id: string
      child 3, commit: string
      child 4, size: int64
      child 5, sha256: string
      child 6, withdrawn: bool
      child 7, path: string
      child 8, name: string
      child 9, description: string
      child 10, author: string
      child 11, notes: string
      child 12, skus: list<item: string>
          child 0, item: string
      child 13, hardware_revisions: list<item: string>
          child 0, item: string
      child 14, publisher_kind: string
      child 15, ota_supported: bool
to
{'repo_id': Value('string'), 'commit': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1876, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 830, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 690, in write_rows_on_file
                  self._write_table(table)
                  ~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 822, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              schema_version: int64
              firmwares: list<item: struct<firmware_id: string, version: string, repo_id: string, commit: string, size: int64 (... 226 chars omitted)
                child 0, item: struct<firmware_id: string, version: string, repo_id: string, commit: string, size: int64, sha256: s (... 214 chars omitted)
                    child 0, firmware_id: string
                    child 1, version: string
                    child 2, repo_id: string
                    child 3, commit: string
                    child 4, size: int64
                    child 5, sha256: string
                    child 6, withdrawn: bool
                    child 7, path: string
                    child 8, name: string
                    child 9, description: string
                    child 10, author: string
                    child 11, notes: string
                    child 12, skus: list<item: string>
                        child 0, item: string
                    child 13, hardware_revisions: list<item: string>
                        child 0, item: string
                    child 14, publisher_kind: string
                    child 15, ota_supported: bool
              to
              {'repo_id': Value('string'), 'commit': Value('string')}
              because column names don't match
              
              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 1379, 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 956, 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 1702, 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 1887, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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repo_id
string
commit
string
yuzou1121/WatcherRobot-example.sdk_media_lab
cb7064a7fdf43c6cd00a5d84fb1ec135f74e77e8
ICe-sheep/WatcherRobot-com.orulink.brain-turn
7f4aea392d9c576a11426697b524b0714d3234d1
annu678/WatcherRobot-local.pokemon_dex
735b5f680f49edb1358182b46bd144695b148984
xinpei666/WatcherRobot-local.my_app
30db9bf8a9dae0c202b04f58693e96e6239efdd4
kenna77/WatcherRobot-com.kennakai.molly_tavern
525d4ba01d3379865ed259ce2016417650e94b90
yuzou1121/WatcherRobot-com.orulink.speaking_motion_lab
bf1c41d0880a29780a4d5d312145e23c1cca5c4e
zhengyuzhong/WatcherRobot-com.orulink.watcher.choreography
25965d6fecd74ce0a086a2b6f112c8c97d0fa34a
yuzou1121/WatcherRobot-com.orulink.joyinside_pi
0708937b33794b42a1de928444de3aead0185aad
left0ver/WatcherRobot-com.left0ver.agentcade
21e8d3683ca6290c26ca132a7e5fe05dd768ca10
null
null

WatcherRobot 应用与固件广场

本仓库维护 huggingface 平台经审核的应用与固件目录。应用和固件分别发布、独立展示，通过可选依赖关联。国内外使用同一逻辑结构，各自审核维护，不自动复制第三方内容。

watcherobot-app-store/
├── README.md
├── app-list.json        # 全部应用，保留原字段和固定 commit
└── firmware-list.json   # 固件及其版本，不与应用混成一个条目

应用目录

app-list.json 继续使用原 JSON 数组，每项只包含 repo_id 和完整的 40 位 commit。应用源码保留在作者自己的公开仓库。无需 application-list-v2.json，也不按客户端版本拆目录。

应用项目 app.json 可以选填 requires_firmware，保留原 schema 2/3 与 SDK 依赖锁。未声明时新客户端继续读取已有字段，不猜测固件要求；声明错误则拒绝。依赖示例：

{"requires_firmware":{"mode":"required","firmware_id":"com.example.motion","version_spec":">=1.0.0,<2.0.0","recommended_version":"1.0.0","tested_versions":["1.0.0"]}}

官方或自定义固件都通过同来源固件 ID、兼容范围和推荐版本引用；不把固件 ZIP 重复放进应用仓库，也不读取上传者当前连接设备的版本来推定依赖。纯软件应用可显式声明 {"mode":"not_required"}。

固件目录

firmware-list.json 顶层为 {"schema_version":1,"firmwares":[]}。每个版本记录 firmware_id、version、repo_id、完整 commit、size、sha256、withdrawn；可包含名称、作者、更新说明、SKU、硬件修订、publisher_kind 和 ota_supported。

HF 条目使用 path 指向固定版本 ZIP；Gitee 条目使用 asset_id 和 download_url 绑定 Release 附件。新版本追加，同版本不可覆盖。维护者撤回版本使用 withdrawn，不借机改写旧版本哈希。固件卡片按 ID 聚合，版本在详情中选择。

作者固件产物结构：

Hugging Face Dataset 作者/WatcherRobot-Firmware-固件ID
  versions/1.0.0/firmware.zip
  versions/1.0.0/release.json

Gitee 作者/WatcherRobot-Firmware-固件ID
  versions/1.0.0/manifest.json
  Release v1.0.0 @ 固定 commit → firmware.zip 附件

桌面下载编译好的固件，不临时编译源码。ZIP 根目录包含 firmware.json、flash_args.txt 和已声明的二进制分段；包声明 ESP32-S3、版本、机型、硬件修订、闪存容量、分段路径/偏移/大小/SHA-256。不执行包内脚本。首次新增空目录只表示结构就绪，不代表已经发布固件。

发布与体验流程

作者上传公开产物 → 全新匿名下载校验 → 对相应目录提交审核请求 → 维护者审核合入。先收录固件，再收录引用它的应用。app-list 只审核应用固定源码，firmware-list 另外审核产物、来源、硬件和版本信息。

体验者可仅安装应用、仅下载并烧录固件，或联动安装应用与下载配套固件。USB 设备选择和最终写入确认由桌面端完成，复用设置页烧录执行器；SDK 不承担烧录。未连接 USB 时允许下载、禁止写入。

第三方固件通过 USB 更新；官方固件的 OTA 资格由审核信息和设备身份判定，不信任作者自称“官方”。历史烧录记录与 Wi-Fi 实时版本分别显示，不将写入成功当成运行版本回读成功。

审核与安全

维护者核对公开可读、固定 commit、版本、大小、哈希、包结构、机型和实际验证结果。SHA-256 是完整性校验，不等同于发布者数字签名或 Secure Boot。收录不代表安全担保；不得上传 Token、密码或个人配置。

SDK 和桌面端支持以配套功能版本为准；新增目录不会使旧桌面端具备固件能力。应用清单的已有字段与已收录记录保留。
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