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Added Entanglement Concentration Dataset for 3 and 4 qubits for Benchmarking Binary Classifiers (#915)

* Added Entanglement Concentration Dataset for 3 and 4 qubits

- Classification dataset for 3 and 4 qubits
- Pre-trained weights courtesy to https://github.com/LSchatzki/NTangled_Datasets
- The CE values claimed in the above repository had a mismatch for 8 qubits, hence we've left other number of qubits for future development
- Make html breaks for some reason. Need to fix in upcoming commits

Co-Authored-By: Nishant Vasan <69106567+rockywick@users.noreply.github.com>
Co-Authored-By: rogue-infinity <116993419+rogue-infinity@users.noreply.github.com>

* Update __init__.py

* Made __init__.py black, Added seed for unittest

* Update .pylintdict

* Added keyword argument feedback

* Changed npy to json

* Fixed link

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Co-authored-by: Nishant Vasan <69106567+rockywick@users.noreply.github.com>
Co-authored-by: rogue-infinity <116993419+rogue-infinity@users.noreply.github.com>
Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com>
Co-authored-by: Edoardo Altamura <38359901+edoaltamura@users.noreply.github.com>

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