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Published
20 hours ago •
pytorch
pytorch
Unable to download wikitext datasets
🐛 Bug
Hi, I'm trying to download wikitext datasets using torchtext APIs but facing with an error:
---------------------------------------------------------------------------
HTTPError Traceback (most recent call last)
[<ipython-input-3-02b30e7fc1db>](https://localhost:8080/#) in <cell line: 22>()
20
21
---> 22 wikitext_ds = get_dataset("wikitext-103", "train")
56 frames
[/usr/local/lib/python3.10/dist-packages/requests/models.py](https://localhost:8080/#) in raise_for_status(self)
1019
1020 if http_error_msg:
-> 1021 raise HTTPError(http_error_msg, response=self)
1022
1023 def close(self):
HTTPError: 403 Client Error: Forbidden for url: https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-103-v1.zip
This exception is thrown by __iter__ of HTTPReaderIterDataPipe(skip_on_error=False, source_datapipe=OnDiskCacheHolderIterDataPipe, timeout=None)
To Reproduce: Here is the link to the notebook with the error: https://colab.research.google.com/drive/1Odac5EA0f3ozCGXYpqZs2nmrwB1Flu18?usp=sharing
Expected behavior: Datasets downloaded successfully.
Environment
--2024-03-02 23:06:55-- https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 22068 (22K) [text/plain]
Saving to: ‘collect_env.py.1’
collect_env.py.1 100%[===================>] 21.55K --.-KB/s in 0.001s
2024-03-02 23:06:55 (26.3 MB/s) - ‘collect_env.py.1’ saved [22068/22068]
Collecting environment information...
PyTorch version: 2.1.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.3 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: 14.0.0-1ubuntu1.1
CMake version: version 3.27.9
Libc version: glibc-2.35
Python version: 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-6.1.58+-x86_64-with-glibc2.35
Is CUDA available: False
CUDA runtime version: 12.2.140
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: Could not collect
Nvidia driver version: Could not collect
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.6
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: 48 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 2
On-line CPU(s) list: 0,1
Vendor ID: AuthenticAMD
Model name: AMD EPYC 7B12
CPU family: 23
Model: 49
Thread(s) per core: 2
Core(s) per socket: 1
Socket(s): 1
Stepping: 0
BogoMIPS: 4499.99
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 constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid tsc_known_freq pni pclmulqdq ssse3 fma cx16 sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext ssbd ibrs ibpb stibp vmmcall fsgsbase tsc_adjust bmi1 avx2 smep bmi2 rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 clzero xsaveerptr arat npt nrip_save umip rdpid
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 32 KiB (1 instance)
L1i cache: 32 KiB (1 instance)
L2 cache: 512 KiB (1 instance)
L3 cache: 16 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0,1
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 Retbleed: Vulnerable
Vulnerability Spec rstack overflow: Vulnerable, no microcode
Vulnerability Spec store bypass: Vulnerable
Vulnerability Spectre v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers
Vulnerability Spectre v2: Vulnerable, IBPB: disabled, STIBP: disabled, PBRSB-eIBRS: Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] numpy==1.25.2
[pip3] torch==2.1.0+cu121
[pip3] torchaudio==2.1.0+cu121
[pip3] torchdata==0.7.0
[pip3] torchsummary==1.5.1
[pip3] torchtext==0.16.0
[pip3] torchvision==0.16.0+cu121
[pip3] triton==2.1.0
[conda] Could not collect
torchtext version is 0.16.0+cpu
It's also happening to other datasets as well, this is an error thrown while trying to download DBpedia (YahooAnswers exits with a similar error):
RuntimeError: Google drive link https://drive.google.com/uc?export=download&id=0Bz8a_Dbh9QhbQ2Vic1kxMmZZQ1k&confirm=t
internal error: headers don't contain content-disposition.
This is usually caused by using a sharing/viewing link instead of a download link.
Click 'Download' on the Google Drive page, which should redirect you to a download page, and use the link of that page.
This exception is thrown by __iter__ of GDriveReaderDataPipe(skip_on_error=False, source_datapipe=OnDiskCacheHolderIterDataPipe, timeout=None)
