Digital circuits dataset for anomaly detection + ground truth explanations
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset is an anomaly benchmark dataset with local ground-truth explanations.It was created based on 4 digital circuits from ISCAS '85 and 74x series benchmarks: C17, 74182, 74283 and 74181. The dataset includes:Truth_TablesEach circuits has 4 anomalous versions created by changing a single gate to its negation. Each anomalous version was padded with a varying amount of attribute noise (2, 4 and 6 noise features). The folder includes a truth table for each version , original and anomalous with and without noise.Overall there are 64 anomalous truth tables - named 'in_labeled',  and 16 original truth table- named 'out'.Ground_TruthEach truth table has a file of local ground-truth explanations. A local ground truth explanation is the reason why a model returned a certain prediction for a specific inst' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Anomaly Detection","Explainable AI"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset is an anomaly benchmark dataset with local ground-truth explanations.It was created based on 4 digital circuits from ISCAS '85 and 74x series benchmarks: C17, 74182, 74283 and 74181. The dataset includes:Truth_TablesEach circuits has 4 anomalous versions created by changing a single gate to its negation. Each anomalous version was padded with a varying amount of attribute noise (2, 4 and 6 noise features). The folder includes a truth table for each version , original and anomalous with and without noise.Overall there are 64 anomalous truth tables - named 'in_labeled',  and 16 original truth table- named 'out'.Ground_TruthEach truth table has a file of local ground-truth explanations. A local ground truth explanation is the reason why a model returned a certain prediction for a specific inst' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset is an anomaly benchmark dataset with local ground-truth explanations.It was created based on 4 digital circuits from ISCAS '85 and 74x series benchmarks: C17, 74182, 74283 and 74181. The dataset includes:Truth_TablesEach circuits has 4 anomalous versions created by changing a single gate to its negation. Each anomalous version was padded with a varying amount of attribute noise (2, 4 and 6 noise features). The folder includes a truth table for each version , original and anomalous with and without noise.Overall there are 64 anomalous truth tables - named 'in_labeled',  and 16 original truth table- named 'out'.Ground_TruthEach truth table has a file of local ground-truth explanations. A local ground truth explanation is the reason why a model returned a certain prediction for a specific inst
Anomaly Detection; Explainable AI