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KeyError on list_tasks #1234

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@Innixma

Description

@Innixma
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Description

OpenML crashes during list_tasks call.

It was working correctly 1 week ago.
I first noticed the error on March 25th when running a script to generate a task metadata file locally.

I've reproduced the error both on an ubuntu EC2 instance and locally on my Mac laptop.

Steps/Code to Reproduce

import openml
tasks = openml.tasks.list_tasks()

Exception

Traceback (most recent call last):
  File "/home/ubuntu/.conda/envs/code/lib/python3.8/site-packages/openml/tasks/functions.py", line 273, in __list_tasks
    task[input["@name"]] = proc_dict[int(input["#text"])]["name"]
KeyError: 0

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/ubuntu/workspace/code/scratch/scratch2.py", line 2, in <module>
    tasks = openml.tasks.list_tasks()
  File "/home/ubuntu/.conda/envs/code/lib/python3.8/site-packages/openml/tasks/functions.py", line 180, in list_tasks
    return openml.utils._list_all(
  File "/home/ubuntu/.conda/envs/code/lib/python3.8/site-packages/openml/utils.py", line 272, in _list_all
    new_batch = listing_call(
  File "/home/ubuntu/.conda/envs/code/lib/python3.8/site-packages/openml/tasks/functions.py", line 222, in _list_tasks
    return __list_tasks(api_call=api_call, output_format=output_format)
  File "/home/ubuntu/.conda/envs/code/lib/python3.8/site-packages/openml/tasks/functions.py", line 291, in __list_tasks
    raise KeyError("Invalid xml for task %d: %s\nFrom %s" % (tid, e, task_))
KeyError: "Invalid xml for task 361346: 0\nFrom {'oml:task_id': '361346', 'oml:task_type_id': '1', 'oml:task_type': 'Supervised Classification', 'oml:did': '554', 'oml:name': 'mnist_784', 'oml:status': 'active', 'oml:format': 'ARFF', 'oml:input': [{'@name': 'estimation_procedure', '#text': '0'}, {'@name': 'source_data', '#text': '554'}, {'@name': 'target_feature', '#text': 'class'}], 'oml:quality': [{'@name': 'MajorityClassSize', '#text': '7877.0'}, {'@name': 'MaxNominalAttDistinctValues', '#text': '10.0'}, {'@name': 'MinorityClassSize', '#text': '6313.0'}, {'@name': 'NumberOfClasses', '#text': '10.0'}, {'@name': 'NumberOfFeatures', '#text': '785.0'}, {'@name': 'NumberOfInstances', '#text': '70000.0'}, {'@name': 'NumberOfInstancesWithMissingValues', '#text': '0.0'}, {'@name': 'NumberOfMissingValues', '#text': '0.0'}, {'@name': 'NumberOfNumericFeatures', '#text': '784.0'}, {'@name': 'NumberOfSymbolicFeatures', '#text': '1.0'}]}"

Versions

Ubuntu EC2 Instance

Linux-5.15.0-1017-aws-x86_64-with-glibc2.10
Python 3.8.16 | packaged by conda-forge | (default, Feb  1 2023, 16:01:55) 
[GCC 11.3.0]
NumPy 1.23.5
SciPy 1.10.1
Scikit-Learn 1.1.1
OpenML 0.13.1

MacOS Laptop

macOS-10.16-x86_64-i386-64bit
Python 3.8.10 (v3.8.10:3d8993a744, May  3 2021, 08:55:58) 
[Clang 6.0 (clang-600.0.57)]
NumPy 1.22.4
SciPy 1.8.1
Scikit-Learn 1.1.1
OpenML 0.12.2
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