ModuleNotFoundError: No module named 'mmdet3d.dataset'

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Checklist

1. I have searched related issues but cannot get the expected help.
2. I have read the FAQ documentation but cannot get the expected help.
3. The bug has not been fixed in the latest version.

Describe the bug
I run the command as "python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./data/nuscenes –virtual --extra-tag nuscenes" in a project named disitill-bev to generate the checkpoints.
When I import as "from mmdet3d.dataset import LyftDataset"
Error occured as "ModuleNotFoundError: No module named 'mmdet3d.dataset"

Reproduction

1. What command or script did you run?

python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./data/nuscenes –virtual --extra-tag nuscenes

2. Did you make any modifications on the code or config? Did you understand what you have modified?
I didn't change anything.
3. What dataset did you use?
nuScenes
**Environment**

1. Please run `python mmdet/utils/collect_env.py` to collect necessary environment information and paste it here.
(distillbev) root@interactive38957:/opt/data/private/distill-bev# python /root/miniconda3/envs/distillbev/lib/python3.8/site-packages/mmdet/utils/collect_env.py 
sys.platform: linux
Python: 3.8.20 (default, Oct  3 2024, 15:24:27) [GCC 11.2.0]
CUDA available: True
GPU 0,1,2,3: NVIDIA GeForce RTX 4090
CUDA_HOME: /usr/local/cuda-11.6
NVCC: Cuda compilation tools, release 11.6, V11.6.124
GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
PyTorch: 1.12.1
PyTorch compiling details: PyTorch built with:
  - GCC 9.3
  - C++ Version: 201402
  - Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - LAPACK is enabled (usually provided by MKL)
  - NNPACK is enabled
  - CPU capability usage: AVX2
  - CUDA Runtime 11.6
  - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37
  - CuDNN 8.3.2  (built against CUDA 11.5)
  - Magma 2.6.1
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, 

TorchVision: 0.13.1
OpenCV: 4.10.0
MMCV: 1.6.0
MMCV Compiler: GCC 7.5
MMCV CUDA Compiler: 11.6
MMDetection: 2.24.0+3e8f6a4

2. You may add addition that may be helpful for locating the problem, such as
   - How you installed PyTorch \[e.g., pip, conda, source\]
      conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.6 -c pytorch -c conda-forge
   - Other environment variables that may be related (such as `$PATH`, `$LD_LIBRARY_PATH`, `$PYTHONPATH`, etc.)

**Error traceback**
If applicable, paste the error trackback here.
```none
You can get this project at https://github.com/qcraftai/distill-bev.git
(distillbev) root@interactive38957:/opt/data/private/distill-bev# python tools/create_data.py nuscenes --root-path data/nuscenes --out-dir data/nuscenes -virtual --extra-tag nuscenes
Traceback (most recent call last):
  File "tools/create_data.py", line 7, in <module>
    from tools.data_converter import lyft_converter as lyft_converter
  File "/opt/data/private/distill-bev/tools/data_converter/lyft_converter.py", line 10, in <module>
    from mmdet3d.datasets import LyftDataset
ImportError: cannot import name 'LyftDataset' from 'mmdet3d.datasets' (/opt/data/private/distill-bev/mmdet3d/datasets/__init__.py)

Bug fix
If you have already identified the reason, you can provide the information here. If you are willing to create a PR to fix it, please also leave a comment here and that would be much appreciated!
Not yet.