[BUG] Loading the MQT Bench dataset does not work as expected.

Expected behavior

1 - Running qml.data.load("other", name="mqt-bench") returns the dataset. 2 - Running qml.data.load("other", name="mqt-bench", attributes=["ae"]) returns the "ae" algorithm from the dataset (same behavior for all algorithms)

These lines are from the MQT Bench dataset documentation, in the download button.

Actual behavior

1 - Running qml.data.load("other", name="mqt-bench") returns an array of 1 element where the element is the dataset. 2 - Running qml.data.load("other", name="mqt-bench", attributes=["ae"]) gives the error ValueError: 'ae' is an invalid attribute for 'other'. Valid attributes are: [] ( again, same behavior for all algorithms)

Additional information

To access a single algorithm, the way around this that I'm using is to first load the whole dataset by accessing the element of the array with ds=qml.data.load("other", name="mqt-bench")[0] and then select the algorithm from the dataset with ds.ae.

Downsides of this method :

It's not efficient to load the whole dataset (just under 17GB) if you only want one algorithm.
It doesn't directly allow the selection of the algorithms with a string variable.
It doesn't work for these 4 algorithms that contain a - in their name because the - is interpreted as a subtraction operator. ["grover-noancilla", "grover-v-chain", "qwalk-noancilla", "qwalk-v-chain"]

Source code

#working
ds = qml.data.load("other", name="mqt-bench")[0]
algo=ds.ae
print("dataset:", ds)
print("algo:", algo)

#not working
ds = qml.data.load("other", name="mqt-bench")
algo=qml.data.load("other", name="mqt-bench", attributes=["ae"])
print("dataset:", ds)
print("algo:", algo)

Tracebacks

No response

System information

Name: PennyLane
Version: 0.37.0
Summary: PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Home-page: https://github.com/PennyLaneAI/pennylane
Author:
Author-email:
License: Apache License 2.0
Location: C:\Users\Username\AppData\Roaming\Python\Python312\site-packages
Requires: appdirs, autograd, autoray, cachetools, networkx, numpy, packaging, pennylane-lightning, requests, rustworkx, scipy, semantic-version, toml, typing-extensions
Required-by: PennyLane-qiskit, pennylane-snowflurry, PennyLane_Lightning

Platform info:           Windows-10-10.0.19045-SP0
Python version:          3.12.2
Numpy version:           1.26.4
Scipy version:           1.13.1
Installed devices:
- default.clifford (PennyLane-0.37.0)
- default.gaussian (PennyLane-0.37.0)
- default.mixed (PennyLane-0.37.0)
- default.qubit (PennyLane-0.37.0)
- default.qubit.autograd (PennyLane-0.37.0)
- default.qubit.jax (PennyLane-0.37.0)
- default.qubit.legacy (PennyLane-0.37.0)
- default.qubit.tf (PennyLane-0.37.0)
- default.qubit.torch (PennyLane-0.37.0)
- default.qutrit (PennyLane-0.37.0)
- default.qutrit.mixed (PennyLane-0.37.0)
- default.tensor (PennyLane-0.37.0)
- null.qubit (PennyLane-0.37.0)
- qiskit.aer (PennyLane-qiskit-0.37.0)
- qiskit.basicaer (PennyLane-qiskit-0.37.0)
- qiskit.basicsim (PennyLane-qiskit-0.37.0)
- qiskit.ibmq (PennyLane-qiskit-0.37.0)
- qiskit.ibmq.circuit_runner (PennyLane-qiskit-0.37.0)
- qiskit.ibmq.sampler (PennyLane-qiskit-0.37.0)
- qiskit.remote (PennyLane-qiskit-0.37.0)
- lightning.qubit (PennyLane_Lightning-0.37.0)
- snowflurry.qubit (pennylane-snowflurry-0.2.1)

Existing GitHub issues

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PennyLaneAI / pennylane