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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 dataset

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hf://datasets/hoanghieu16720/x3plus-grasp-moving-cube@59b6765c3b159362aa26564dabd8d8b09adc96f4/episodes/episode_000000.tar
episode_000000/astra_rgb/000090
hf://datasets/hoanghieu16720/x3plus-grasp-moving-cube@59b6765c3b159362aa26564dabd8d8b09adc96f4/episodes/episode_000000.tar
episode_000000/astra_rgb/000091
hf://datasets/hoanghieu16720/x3plus-grasp-moving-cube@59b6765c3b159362aa26564dabd8d8b09adc96f4/episodes/episode_000000.tar
episode_000000/astra_rgb/000092
hf://datasets/hoanghieu16720/x3plus-grasp-moving-cube@59b6765c3b159362aa26564dabd8d8b09adc96f4/episodes/episode_000000.tar
episode_000000/astra_rgb/000093
hf://datasets/hoanghieu16720/x3plus-grasp-moving-cube@59b6765c3b159362aa26564dabd8d8b09adc96f4/episodes/episode_000000.tar
episode_000000/astra_rgb/000094
hf://datasets/hoanghieu16720/x3plus-grasp-moving-cube@59b6765c3b159362aa26564dabd8d8b09adc96f4/episodes/episode_000000.tar
episode_000000/astra_rgb/000095
hf://datasets/hoanghieu16720/x3plus-grasp-moving-cube@59b6765c3b159362aa26564dabd8d8b09adc96f4/episodes/episode_000000.tar
episode_000000/astra_rgb/000096
hf://datasets/hoanghieu16720/x3plus-grasp-moving-cube@59b6765c3b159362aa26564dabd8d8b09adc96f4/episodes/episode_000000.tar
episode_000000/astra_rgb/000097
hf://datasets/hoanghieu16720/x3plus-grasp-moving-cube@59b6765c3b159362aa26564dabd8d8b09adc96f4/episodes/episode_000000.tar
episode_000000/astra_rgb/000098
hf://datasets/hoanghieu16720/x3plus-grasp-moving-cube@59b6765c3b159362aa26564dabd8d8b09adc96f4/episodes/episode_000000.tar
episode_000000/astra_rgb/000099
hf://datasets/hoanghieu16720/x3plus-grasp-moving-cube@59b6765c3b159362aa26564dabd8d8b09adc96f4/episodes/episode_000000.tar
End of preview.

X3Plus — gắp khối đỏ chuyển động

Dữ liệu teleop thô cho tay máy Yahboom X3Plus (5 khớp + gripper, 20 Hz, 2 camera). Nhiệm vụ: "pick up the red cube and put it in the bowl" — nhưng khối đỏ bị kéo bằng dây ở khoảng 1 cm/s trong lúc gắp, nên đây là bài bám theo mục tiêu di động.

Bản tĩnh tương ứng: x3plus-pick-red-cube. Cùng robot, cùng camera, cùng câu lệnh — khác đúng một biến.

Episode 110
Frame 28.998
Thời lượng 24,2 phút @ 20 Hz
Định dạng x3vr-raw-v1
Model train từ bộ này pi05-x3plus-moving

Cấu trúc

Mỗi episode một file tar để tránh 60.234 file jpg nhỏ:

episodes/episode_000000.tar
  episode_000000/
    meta.json      task, success, fps, giới hạn servo, thông tin camera
    steps.jsonl    một dòng mỗi frame
    astra_rgb/*.jpg  640×480 — camera cố định
    usb_cam/*.jpg    640×480 — camera trên kẹp
manifest.json      tóm tắt từng episode

Giải nén một episode:

huggingface-cli download hoanghieu16720/x3plus-grasp-moving-cube \
  episodes/episode_000000.tar --repo-type dataset --local-dir .
tar -xf episodes/episode_000000.tar

steps.jsonl

{"i": 0, "t": 0.0, "state": [...6], "action": [...6],
 "state_deg": [...6], "cmd_deg": [...6],
 "state_age": 0.0158, "stale": false,
 "cams": {"usb_cam": {"age": 0.062}, "astra_rgb": {"age": 0.001}},
 "teleop": {"engaged": false, "at_limit": false, "gripper_cmd": 0.0}}
  • state / action — joint1..5 radian, gripper 0 = mở … 1 = đóng. actiongóc tuyệt đối.
  • teleop.engaged — người điều khiển có đang cầm lái không. 11,9 % số frame ở hai đầu episode là false (tay máy đứng yên). Train cả những frame đó sẽ dạy model chần chừ — nên cắt.
  • cams[*].age, state_age — độ trễ đo được. Trung vị 12,7 ms (astra) / 24,3 ms (usb).
  • teleop.at_limit — bật ở 7,9 % frame, nhưng góc khớp gần như không bao giờ chạm cữ cơ khí: đó là cờ khi tư thế bàn tay VR ra ngoài vùng với tới, lệnh bị kẹp. Cặp (state, action) vẫn hợp lệ.

Đã lọc sẵn

Ba episode có success != true (thực ra là thiếu trường, không phải đánh dấu hỏng) đã bị loại khỏi bộ này: episode_000030, episode_000082, episode_000090. Vì vậy số thứ tự episode có chỗ đứt quãng, chạy tới episode_000112.

Chuyển sang LeRobot cho openpi

Script code/convert_moving.py trong repo model. Nó lọc theo success, cắt frame chưa engaged, bỏ episode dưới 40 frame, lưu ảnh 320×240 (openpi dùng resize_with_pad nên phải giữ tỉ lệ 4:3). Kết quả: 25.536 frame, 21,3 phút.

Apache-2.0.

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