ModelNet10 dataset appears to be offline and raises HTTP Error 404 #10396
Description
🐛 Describe the bug
Trying to instantiate a new ModelNet10 Dataset object results in a HTTP Error 404.
The issue seems to be, that the Dataset is not available anymore at
http://vision.princeton.edu/projects/2014/3DShapeNets/ModelNet10.zip
The link appears to have changed to:
http://3dvision.princeton.edu/projects/2014/3DShapeNets/ModelNet10.zip
from torch_geometric.datasets import ModelNet
train_dataset = ModelNet("data/modelnet10", '10', True)---------------------------------------------------------------------------
HTTPError Traceback (most recent call last)
Cell In[1], line 3
1 from torch_geometric.datasets import ModelNet
----> 3 train_dataset = ModelNet("data/modelnet10", '10', True)
File ~/micromamba/envs/dev/lib/python3.12/site-packages/torch_geometric/datasets/modelnet.py:98, in ModelNet.__init__(self, root, name, train, transform, pre_transform, pre_filter, force_reload)
96 assert name in ['10', '40']
97 self.name = name
---> 98 super().__init__(root, transform, pre_transform, pre_filter,
99 force_reload=force_reload)
100 path = self.processed_paths[0] if train else self.processed_paths[1]
101 self.load(path)
File ~/micromamba/envs/dev/lib/python3.12/site-packages/torch_geometric/data/in_memory_dataset.py:81, in InMemoryDataset.__init__(self, root, transform, pre_transform, pre_filter, log, force_reload)
72 def __init__(
73 self,
74 root: Optional[str] = None,
(...) 79 force_reload: bool = False,
80 ) -> None:
---> 81 super().__init__(root, transform, pre_transform, pre_filter, log,
82 force_reload)
84 self._data: Optional[BaseData] = None
85 self.slices: Optional[Dict[str, Tensor]] = None
File ~/micromamba/envs/dev/lib/python3.12/site-packages/torch_geometric/data/dataset.py:112, in Dataset.__init__(self, root, transform, pre_transform, pre_filter, log, force_reload)
109 self.force_reload = force_reload
111 if self.has_download:
--> 112 self._download()
114 if self.has_process:
115 self._process()
File ~/micromamba/envs/dev/lib/python3.12/site-packages/torch_geometric/data/dataset.py:229, in Dataset._download(self)
226 return
228 fs.makedirs(self.raw_dir, exist_ok=True)
--> 229 self.download()
File ~/micromamba/envs/dev/lib/python3.12/site-packages/torch_geometric/datasets/modelnet.py:115, in ModelNet.download(self)
114 def download(self) -> None:
--> 115 path = download_url(self.urls[self.name], self.root)
116 extract_zip(path, self.root)
117 os.unlink(path)
File ~/micromamba/envs/dev/lib/python3.12/site-packages/torch_geometric/data/download.py:47, in download_url(url, folder, log, filename)
44 os.makedirs(folder, exist_ok=True)
46 context = ssl._create_unverified_context()
---> 47 data = urllib.request.urlopen(url, context=context)
49 with fsspec.open(path, 'wb') as f:
50 # workaround for https://bugs.python.org/issue42853
51 while True:
File ~/micromamba/envs/dev/lib/python3.12/urllib/request.py:215, in urlopen(url, data, timeout, cafile, capath, cadefault, context)
213 else:
214 opener = _opener
--> 215 return opener.open(url, data, timeout)
File ~/micromamba/envs/dev/lib/python3.12/urllib/request.py:521, in OpenerDirector.open(self, fullurl, data, timeout)
519 for processor in self.process_response.get(protocol, []):
520 meth = getattr(processor, meth_name)
--> 521 response = meth(req, response)
523 return response
File ~/micromamba/envs/dev/lib/python3.12/urllib/request.py:630, in HTTPErrorProcessor.http_response(self, request, response)
627 # According to RFC 2616, "2xx" code indicates that the client's
628 # request was successfully received, understood, and accepted.
629 if not (200 <= code < 300):
--> 630 response = self.parent.error(
631 'http', request, response, code, msg, hdrs)
633 return response
File ~/micromamba/envs/dev/lib/python3.12/urllib/request.py:553, in OpenerDirector.error(self, proto, *args)
551 http_err = 0
552 args = (dict, proto, meth_name) + args
--> 553 result = self._call_chain(*args)
554 if result:
555 return result
File ~/micromamba/envs/dev/lib/python3.12/urllib/request.py:492, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
490 for handler in handlers:
491 func = getattr(handler, meth_name)
--> 492 result = func(*args)
493 if result is not None:
494 return result
File ~/micromamba/envs/dev/lib/python3.12/urllib/request.py:745, in HTTPRedirectHandler.http_error_302(self, req, fp, code, msg, headers)
742 fp.read()
743 fp.close()
--> 745 return self.parent.open(new, timeout=req.timeout)
File ~/micromamba/envs/dev/lib/python3.12/urllib/request.py:521, in OpenerDirector.open(self, fullurl, data, timeout)
519 for processor in self.process_response.get(protocol, []):
520 meth = getattr(processor, meth_name)
--> 521 response = meth(req, response)
523 return response
File ~/micromamba/envs/dev/lib/python3.12/urllib/request.py:630, in HTTPErrorProcessor.http_response(self, request, response)
627 # According to RFC 2616, "2xx" code indicates that the client's
628 # request was successfully received, understood, and accepted.
629 if not (200 <= code < 300):
--> 630 response = self.parent.error(
631 'http', request, response, code, msg, hdrs)
633 return response
File ~/micromamba/envs/dev/lib/python3.12/urllib/request.py:553, in OpenerDirector.error(self, proto, *args)
551 http_err = 0
552 args = (dict, proto, meth_name) + args
--> 553 result = self._call_chain(*args)
554 if result:
555 return result
File ~/micromamba/envs/dev/lib/python3.12/urllib/request.py:492, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
490 for handler in handlers:
491 func = getattr(handler, meth_name)
--> 492 result = func(*args)
493 if result is not None:
494 return result
File ~/micromamba/envs/dev/lib/python3.12/urllib/request.py:745, in HTTPRedirectHandler.http_error_302(self, req, fp, code, msg, headers)
742 fp.read()
743 fp.close()
--> 745 return self.parent.open(new, timeout=req.timeout)
File ~/micromamba/envs/dev/lib/python3.12/urllib/request.py:521, in OpenerDirector.open(self, fullurl, data, timeout)
519 for processor in self.process_response.get(protocol, []):
520 meth = getattr(processor, meth_name)
--> 521 response = meth(req, response)
523 return response
File ~/micromamba/envs/dev/lib/python3.12/urllib/request.py:630, in HTTPErrorProcessor.http_response(self, request, response)
627 # According to RFC 2616, "2xx" code indicates that the client's
628 # request was successfully received, understood, and accepted.
629 if not (200 <= code < 300):
--> 630 response = self.parent.error(
631 'http', request, response, code, msg, hdrs)
633 return response
File ~/micromamba/envs/dev/lib/python3.12/urllib/request.py:559, in OpenerDirector.error(self, proto, *args)
557 if http_err:
558 args = (dict, 'default', 'http_error_default') + orig_args
--> 559 return self._call_chain(*args)
File ~/micromamba/envs/dev/lib/python3.12/urllib/request.py:492, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
490 for handler in handlers:
491 func = getattr(handler, meth_name)
--> 492 result = func(*args)
493 if result is not None:
494 return result
File ~/micromamba/envs/dev/lib/python3.12/urllib/request.py:639, in HTTPDefaultErrorHandler.http_error_default(self, req, fp, code, msg, hdrs)
638 def http_error_default(self, req, fp, code, msg, hdrs):
--> 639 raise HTTPError(req.full_url, code, msg, hdrs, fp)
HTTPError: HTTP Error 404: Not FoundVersions
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 30687 100 30687 0 0 98k 0 --:--:-- --:--:-- --:--:-- 98k
Collecting environment information...
PyTorch version: 2.6.0
Is debug build: False
CUDA used to build PyTorch: 12.6
ROCM used to build PyTorch: N/A
OS: Debian GNU/Linux 12 (bookworm) (x86_64)
GCC version: (Debian 12.2.0-14+deb12u1) 12.2.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.36
Python version: 3.12.11 | packaged by conda-forge | (main, Jun 4 2025, 14:45:31) [GCC 13.3.0] (64-bit runtime)
Python platform: Linux-5.15.0-142-generic-x86_64-with-glibc2.36
Is CUDA available: True
CUDA runtime version: 12.9.86
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA H100 NVL
Nvidia driver version: 535.230.02
cuDNN version: Could not collect
Is XPU available: False
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 52 bits physical, 57 bits virtual
Byte Order: Little Endian
CPU(s): 128
On-line CPU(s) list: 0-127
Vendor ID: AuthenticAMD
Model name: AMD EPYC 9554 64-Core Processor
CPU family: 25
Model: 17
Thread(s) per core: 1
Core(s) per socket: 64
Socket(s): 2
Stepping: 1
BogoMIPS: 6199.99
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm rep_good nopl cpuid extd_apicid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw perfctr_core invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves avx512_bf16 clzero xsaveerptr wbnoinvd arat npt lbrv nrip_save tsc_scale vmcb_clean flushbyasid pausefilter pfthreshold v_vmsave_vmload vgif avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor fsrm flush_l1d arch_capabilities
Virtualization: AMD-V
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 8 MiB (128 instances)
L1i cache: 8 MiB (128 instances)
L2 cache: 64 MiB (128 instances)
L3 cache: 2 GiB (128 instances)
NUMA node(s): 1
NUMA node0 CPU(s): 0-127
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Mitigation; safe RET
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; STIBP disabled; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] optree==0.17.0
[pip3] pytorch-lightning==2.5.2
[pip3] torch==2.6.0
[pip3] torch_cluster==1.6.3
[pip3] torch-geometric==2.6.1
[pip3] torchmetrics==1.8.0
[pip3] triton==3.2.0+git576374f8
[conda] Could not collect