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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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 1369, 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 948, 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 1393, 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 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
mp4 video | bin.zst unknown | json dict | __key__ string | __url__ string |
|---|---|---|---|---|
"AQAAAAAAAACK6CYAAAAAACi/SFwAAAAA/n1IXAAAAAAAAAAAAAAAAAwAAAABAAAAEwAAAAEAAAABAAAAEgAAAKkCAAAOAAAACAA(...TRUNCATED) | {
"hfov_deg": 71,
"plugin_revid": 12,
"sdk_version_major": 1,
"sdk_version_minor": 19
} | session_20260812_155131_238016460178300 | hf://datasets/ryangowe/ets2-dataset@c38c396c7993ab688ac6caa7488ef5cdc0c3d1f8/ets2-train-000000.tar | |
"AQAAAAAAAAAoA1AFAAAAACrK2mMAAAAAxnLaYwAAAAAAAAAAAAAAAAwAAAABAAAAEwAAAAEAAAABAAAAEgAAAMACAAAOAAAACAA(...TRUNCATED) | {
"hfov_deg": 71,
"plugin_revid": 12,
"sdk_version_major": 1,
"sdk_version_minor": 19
} | session_20260812_155344_238148949940200 | hf://datasets/ryangowe/ets2-dataset@c38c396c7993ab688ac6caa7488ef5cdc0c3d1f8/ets2-train-000000.tar | |
"AQAAAAAAAACygK0KAAAAALRHOGkAAAAAOgQ4aQAAAAAAAAAAAAAAAAwAAAABAAAAEwAAAAEAAAABAAAAEgAAANwCAAAOAAAACAA(...TRUNCATED) | {
"hfov_deg": 71,
"plugin_revid": 12,
"sdk_version_major": 1,
"sdk_version_minor": 19
} | session_20260812_155518_238243349570900 | hf://datasets/ryangowe/ets2-dataset@c38c396c7993ab688ac6caa7488ef5cdc0c3d1f8/ets2-train-000000.tar | |
"AQAAAAAAAAAivQoQAAAAACSElW4AAAAA2kGVbgAAAAAAAAAAAAAAAAwAAAABAAAAEwAAAAEAAAABAAAAEgAAAPkCAAAOAAAACAA(...TRUNCATED) | {
"hfov_deg": 71,
"plugin_revid": 12,
"sdk_version_major": 1,
"sdk_version_minor": 19
} | session_20260812_155650_238335013646700 | hf://datasets/ryangowe/ets2-dataset@c38c396c7993ab688ac6caa7488ef5cdc0c3d1f8/ets2-train-000000.tar | |
"AQAAAAAAAACS+WcVAAAAAJTA8nMAAAAAv2/ycwAAAAAAAAAAAAAAAAwAAAABAAAAEwAAAAEAAAABAAAAEgAAABUDAAAOAAAACAA(...TRUNCATED) | {
"hfov_deg": 71,
"plugin_revid": 12,
"sdk_version_major": 1,
"sdk_version_minor": 19
} | session_20260812_155824_238428764391900 | hf://datasets/ryangowe/ets2-dataset@c38c396c7993ab688ac6caa7488ef5cdc0c3d1f8/ets2-train-000000.tar | |
"AQAAAAAAAAACNsUaAAAAAAT9T3kAAAAAaKpPeQAAAAAAAAAAAAAAAAwAAAABAAAAEwAAAAEAAAABAAAAEgAAADIDAAAOAAAACAA(...TRUNCATED) | {
"hfov_deg": 71,
"plugin_revid": 12,
"sdk_version_major": 1,
"sdk_version_minor": 19
} | session_20260812_155956_238520804583200 | hf://datasets/ryangowe/ets2-dataset@c38c396c7993ab688ac6caa7488ef5cdc0c3d1f8/ets2-train-000000.tar | |
"AQAAAAAAAACMsyIgAAAAAI56rX4AAAAA6ButfgAAAAAAAAAAAAAAAAwAAAABAAAAEwAAAAEAAAABAAAAEgAAAE4DAAAOAAAACAA(...TRUNCATED) | {
"hfov_deg": 71,
"plugin_revid": 12,
"sdk_version_major": 1,
"sdk_version_minor": 19
} | session_20260812_160128_238613203785600 | hf://datasets/ryangowe/ets2-dataset@c38c396c7993ab688ac6caa7488ef5cdc0c3d1f8/ets2-train-000000.tar | |
"AQAAAAAAAAD8738lAAAAAP62CoQAAAAAoGcKhAAAAAAAAAAAAAAAAAwAAAABAAAAEwAAAAEAAAABAAAAEgAAAGsDAAAOAAAACAA(...TRUNCATED) | {
"hfov_deg": 71,
"plugin_revid": 12,
"sdk_version_major": 1,
"sdk_version_minor": 19
} | session_20260812_160301_238706119610800 | hf://datasets/ryangowe/ets2-dataset@c38c396c7993ab688ac6caa7488ef5cdc0c3d1f8/ets2-train-000000.tar | |
"AQAAAAAAAABsLN0qAAAAAG7zZ4kAAAAABqdniQAAAAAAAAAAAAAAAAwAAAABAAAAEwAAAAEAAAABAAAAEgAAAIcDAAAOAAAACAA(...TRUNCATED) | {
"hfov_deg": 71,
"plugin_revid": 12,
"sdk_version_major": 1,
"sdk_version_minor": 19
} | session_20260812_160436_238801512594400 | hf://datasets/ryangowe/ets2-dataset@c38c396c7993ab688ac6caa7488ef5cdc0c3d1f8/ets2-train-000000.tar | |
"AQAAAAAAAADcaDowAAAAAN4vxY4AAAAA49zEjgAAAAAAAAAAAAAAAAwAAAABAAAAEwAAAAEAAAABAAAAEgAAAKQDAAAOAAAACAA(...TRUNCATED) | {
"hfov_deg": 71,
"plugin_revid": 12,
"sdk_version_major": 1,
"sdk_version_minor": 19
} | session_20260812_160609_238893965238600 | hf://datasets/ryangowe/ets2-dataset@c38c396c7993ab688ac6caa7488ef5cdc0c3d1f8/ets2-train-000000.tar |
End of preview.
ETS2 Truck Self-Driving Dataset
在 Euro Truck Simulator 2（ETS2） 中驾驶时同步录制的屏幕画面与车辆遥测， 按 WebDataset 打包，用于端到端驾驶 （模仿学习 / 行为克隆）。每一帧画面配一份同一时刻的 SCS 遥测快照，其中包含训练或 评估驾驶策略所需的控制信号（转向、油门、刹车）与车辆状态。
概览
- 模态：RGB 视频 + 逐帧结构化遥测
- 帧率：10 FPS，画面与遥测 1:1 对齐
- 分辨率：1920×1080（H.264，
yuv420p） - 格式：WebDataset
.tar分片，每片约 1 GB - 划分：
train、val
数据集结构
分片命名为 ets2-{split}-{index}.tar（如 ets2-train-000000.tar），内容是若干条
完整录制 session 的普通 tar。一条 session 是一段连续驾驶片段（15–90 秒），
由共享同一基名（即 WebDataset 的 key）的三个成员组成，扩展名区分字段：
| 成员 | 内容 |
|---|---|
{key}.mp4 |
H.264 视频，1920×1080，10 FPS |
{key}.bin.zst |
zstd 压缩的原始遥测：每帧一个 32 KiB SCS 共享内存块，按帧序首尾相接 |
{key}.json |
解读遥测所需的 session 元数据（见[ session 元数据](# session 元数据)） |
遥测块是唯一被压缩的成员。zstd 解压后，N 帧视频对应 32768 × N 字节；第 i 帧的
遥测是 [i*32768 : (i+1)*32768]，即该帧 SCS 插件共享内存的逐字节拷贝。
遥测块
32 KiB 块原样落盘，未做裁剪或重排，因此完整保留了 SCS 共享内存布局。字段的偏移、
类型与单位以 RenCloud/scs-sdk-plugin
的 scs-telemetry/inc/scs-telemetry-common.hpp 为准，实际布局版本由 session 元数据里的
plugin_revid 标出。
用于驾驶时，通常取画面加 truck_f.speed 与位姿作为输入，取 truck_f.gameSteer、
truck_f.gameThrottle、truck_f.gameBrake 作为标签。注意 SCS 的角度量以 turn
为单位（1 turn = 360°），不是弧度。
session 元数据
{key}.json 是一个小对象，描述该 session 的遥测该怎么读：
| 键 | 含义 |
|---|---|
plugin_revid |
遥测插件版本号（即结构体布局版本） |
sdk_version_major / sdk_version_minor |
SCS SDK 版本 |
hfov_deg |
相机水平视场角，单位度（默认 71） |
采集方式
数据来自实时运行的 ETS2 窗口，不是离线重建的：
- 采样：以游戏时钟为基准按 100 ms 的网格取帧，每帧画面与同一 tick 读到的遥测 快照配对。接受的窗口尺寸为 1920×1080、2560×1440、3840×2160，一律归一到 1920×1080。
- 片段长度：保留下来的 session 为 15–90 秒；更短的候选片段被丢弃，更长的连续 行驶会被切开。
- 驾驶方式：使用 Scania S High Roof。保持第一人称视角，fov 71，打开两侧后视镜 hud。打开限速器和车道保持。保持左舵右行。不遵守红绿灯。不加油、休息。可能存在碰撞。
- 任务选择: 选择欧洲大陆 200-500 km 的任务。单个 trip 的所有 session 完整进入 train 或 val。
许可与署名
视频帧是 Euro Truck Simulator 2 的游戏截图，游戏内容版权归 SCS Software 所有。 本数据集仅供非商业研究使用，并在该限制下分发；使用本数据集不构成对游戏素材任何 权利的授予。
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