Metadata-Version: 2.1
Name: thermostat-datasets
Version: 1.1.0
Summary: Collection of NLP model explanations and accompanying analysis tools
Home-page: https://github.com/DFKI-NLP/thermostat
Download-URL: https://github.com/DFKI-NLP/thermostat/tags
Author: DFKI-NLP
Author-email: nils.feldhus@dfki.de
License: Apache 2.0
Keywords: explainability heatmaps feature-attribution natural-language-processing
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
License-File: LICENSE
Requires-Dist: captum (>=0.3)
Requires-Dist: datasets (>=1.5)
Requires-Dist: jsonnet
Requires-Dist: numpy (>=1.22)
Requires-Dist: overrides
Requires-Dist: pandas
Requires-Dist: protobuf
Requires-Dist: pytorch-ignite
Requires-Dist: scipy
Requires-Dist: sentencepiece
Requires-Dist: scikit-learn
Requires-Dist: spacy (>=3.0)
Requires-Dist: torch
Requires-Dist: tqdm (>=4.49)
Requires-Dist: transformers (>=4.5)

Thermostat is a large collection of NLP model explanations and accompanying analysis tools. Combines explainability methods from the captum library with Hugging Face's datasets and transformers. Mitigates repetitive execution of common experiments in Explainable NLP and thus reduces the environmental impact and financial roadblocks. Increases comparability and replicability of research. Reduces the implementational burden.
