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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-pick-red-cube@2115340de6ddca7a498d8c61b899ee6372b6d8e6/episodes/episode_000000.tar
episode_000000/astra_rgb/000090
hf://datasets/hoanghieu16720/x3plus-pick-red-cube@2115340de6ddca7a498d8c61b899ee6372b6d8e6/episodes/episode_000000.tar
episode_000000/astra_rgb/000091
hf://datasets/hoanghieu16720/x3plus-pick-red-cube@2115340de6ddca7a498d8c61b899ee6372b6d8e6/episodes/episode_000000.tar
episode_000000/astra_rgb/000092
hf://datasets/hoanghieu16720/x3plus-pick-red-cube@2115340de6ddca7a498d8c61b899ee6372b6d8e6/episodes/episode_000000.tar
episode_000000/astra_rgb/000093
hf://datasets/hoanghieu16720/x3plus-pick-red-cube@2115340de6ddca7a498d8c61b899ee6372b6d8e6/episodes/episode_000000.tar
episode_000000/astra_rgb/000094
hf://datasets/hoanghieu16720/x3plus-pick-red-cube@2115340de6ddca7a498d8c61b899ee6372b6d8e6/episodes/episode_000000.tar
episode_000000/astra_rgb/000095
hf://datasets/hoanghieu16720/x3plus-pick-red-cube@2115340de6ddca7a498d8c61b899ee6372b6d8e6/episodes/episode_000000.tar
episode_000000/astra_rgb/000096
hf://datasets/hoanghieu16720/x3plus-pick-red-cube@2115340de6ddca7a498d8c61b899ee6372b6d8e6/episodes/episode_000000.tar
episode_000000/astra_rgb/000097
hf://datasets/hoanghieu16720/x3plus-pick-red-cube@2115340de6ddca7a498d8c61b899ee6372b6d8e6/episodes/episode_000000.tar
episode_000000/astra_rgb/000098
hf://datasets/hoanghieu16720/x3plus-pick-red-cube@2115340de6ddca7a498d8c61b899ee6372b6d8e6/episodes/episode_000000.tar
episode_000000/astra_rgb/000099
hf://datasets/hoanghieu16720/x3plus-pick-red-cube@2115340de6ddca7a498d8c61b899ee6372b6d8e6/episodes/episode_000000.tar
End of preview.

X3Plus — pick red cube (dữ liệu thô)

Bản ghi teleop gốc cho tay máy Yahboom X3Plus, nhiệm vụ "pick up the red cube and put it in the bowl".

Đây là dữ liệu đã dùng để train hoanghieu16720/pi05-x3plus-lora.

Episode 116
Frame 29,131
Tần số 20 Hz
Thời lượng ~24,3 phút
Robot yahboom_x3plus — 5 khớp + gripper
Camera astra_rgb (ngoài) + usb_cam (trên gripper), 640×480 JPEG
Định dạng x3vr-raw-v1

Tải và giải nén

Mỗi episode là một file tar riêng — tải lẻ được.

# toàn bộ
huggingface-cli download hoanghieu16720/x3plus-pick-red-cube --repo-type dataset --local-dir ./raw
cd ./raw/episodes && for f in *.tar; do tar xf "$f"; done

# chỉ một episode
huggingface-cli download hoanghieu16720/x3plus-pick-red-cube --repo-type dataset \
    --include "episodes/episode_000000.tar" --local-dir ./raw
tar xf ./raw/episodes/episode_000000.tar

Cấu trúc mỗi episode

episode_000000/
  meta.json        task, fps, num_frames, joint_names, servo_map, urdf
  steps.jsonl      1 dòng JSON / frame
  astra_rgb/       000000.jpg ... camera ngoài
  usb_cam/         000000.jpg ... camera trên gripper

Mỗi dòng steps.jsonl chứa:

Trường Ý nghĩa
state 6 số — joint1–5 (radian, URDF x3plus_arm), gripper 0 = mở, 1 = đóng
action 6 số — lệnh teleop, góc tuyệt đối, cùng hệ quy chiếu với state
state_deg, cmd_deg, target_deg cùng thông tin, đơn vị độ servo
t, i thời gian (giây) và chỉ số frame
cams độ trễ và số thứ tự khung hình mỗi camera
teleop trạng thái tay điều khiển

Ảnh astra_rgb/{i:06d}.jpgusb_cam/{i:06d}.jpg khớp đúng chỉ số với dòng thứ i trong steps.jsonl.

Điểm cần biết trước khi dùng

action là góc tuyệt đối, không phải delta. Khi train π0/π0.5 phải chuyển 5 khớp sang delta và giữ gripper tuyệt đối — mask make_bool_mask(5, -1). Bỏ qua bước này thì model học sai không gian hành động.

Ba episode bất thường:

Episode Vấn đề
episode_000076 chỉ có 1 frame — nên loại
episode_000008 thiếu meta.json, nhưng 211 step và ảnh vẫn đầy đủ
000002–000006, 000011 thiếu trường success (không phải thất bại)

Câu lệnh nhiệm vụ có 3 biến thể do lỗi gõ — nên chuẩn hóa về một chuỗi:

107x  "pick up the red cube and put it in the bowl"
  6x  "pick  up the red cube and put it in the bowl"   (hai dấu cách)
  2x  "pick up the read cube and put it in the bowl"   ("read")

Camera cổ tay có frame bị lóa trắng khi kẹp áp sát mặt bàn. Đo trên 8 episode: độ tương phản trung bình tương đương camera ngoài (82,3 vs 80,8), nhưng biến thiên giữa các frame cao gấp 3 lần — đúng đặc trưng camera gắn trên tay.

Không có tập validation. Toàn bộ là một nhiệm vụ, một bối cảnh, một bộ camera.

manifest.json

Liệt kê từng episode: số frame, kích thước tar, có meta.json hay không, success, và chuỗi task gốc chưa chuẩn hóa.

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