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update documentation
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README.md

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@@ -133,15 +133,15 @@ Note that F1 scores denote the quality of the find/constructed concept w.r.t. E^
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### Mutagenesis Benchmark Results
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```shell
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python examples/concept_learning_evaluation.py --lps LPs/Mutagenesis/lps.json --kb KGs/Mutagenesis/mutagenesis.owl --max_runtime 60 --report mutagenesis_results.csv && python -c 'import pandas as pd; print(pd.read_csv("mutagenesis_results.csv", index_col=0).to_markdown(floatfmt=".3f"))'
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python examples/concept_learning_cv_evaluation.py --path_of_nces_embeddings NCESData/mutagenesis/embeddings/ConEx_entity_embeddings.csv --path_of_clip_embeddings CLIPData/mutagenesis/embeddings/ConEx_entity_embeddings.csv --folds 10 --kb KGs/Mutagenesis/mutagenesis.owl --lps LPs/Mutagenesis/lps.json --max_runtime 60 --report mutagenesis_results.csv && python -c 'import pandas as pd; print(pd.read_csv("mutagenesis_results.csv", index_col=0).to_markdown(floatfmt=".3f"))'
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```
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| LP | Train-F1-OCEL | Test-F1-OCEL | RT-OCEL | Train-F1-CELOE | Test-F1-CELOE | RT-CELOE | Train-F1-Evo | Test-F1-Evo | RT-Evo | Train-F1-DRILL | Test-F1-DRILL | RT-DRILL | Train-F1-TDL | Test-F1-TDL | RT-TDL | Train-F1-NCES | Test-F1-NCES | RT-NCES | Train-F1-CLIP | Test-F1-CLIP | RT-CLIP |
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|:---------|----------------:|---------------:|----------:|-----------------:|----------------:|-----------:|---------------:|--------------:|---------:|-----------------:|----------------:|-----------:|---------------:|--------------:|---------:|----------------:|---------------:|----------:|----------------:|---------------:|----------:|
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| NotKnown | 0.916 | 0.918 | 58.328 | 0.916 | 0.918 | 58.328 | 0.724 | 0.729 | 49.281 | 0.704 | 0.704 | 60.052 | 0.879 | 0.771 | 7.763 | 0.564 | 0.560 | 0.493 | 0.814 | 0.807 | 5.622 |
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### Carcinogenesis Benchmark Results
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```shell
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python examples/concept_learning_evaluation.py --lps LPs/Carcinogenesis/lps.json --kb KGs/Carcinogenesis/carcinogenesis.owl --max_runtime 60 --report carcinogenesis_results.csv && python -c 'import pandas as pd; print(pd.read_csv("carcinogenesis_results.csv", index_col=0).to_markdown(floatfmt=".3f"))'
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python examples/concept_learning_cv_evaluation.py --path_of_nces_embeddings NCESData/carcinogenesis/embeddings/ConEx_entity_embeddings.csv --path_of_clip_embeddings CLIPData/carcinogenesis/embeddings/ConEx_entity_embeddings.csv --folds 10 --kb KGs/Carcinogenesis/carcinogenesis.owl --lps LPs/Carcinogenesis/lps.json --max_runtime 60 --report carcinogenesis_results.csv && python -c 'import pandas as pd; print(pd.read_csv("carcinogenesis_results.csv", index_col=0).to_markdown(floatfmt=".3f"))'
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```
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| LP | Train-F1-OCEL | Test-F1-OCEL | RT-OCEL | Train-F1-CELOE | Test-F1-CELOE | RT-CELOE | Train-F1-Evo | Test-F1-Evo | RT-Evo | Train-F1-DRILL | Test-F1-DRILL | RT-DRILL | Train-F1-TDL | Test-F1-TDL | RT-TDL | Train-F1-NCES | Test-F1-NCES | RT-NCES | Train-F1-CLIP | Test-F1-CLIP | RT-CLIP |

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