1. Description: The AM dataset contains information about artifacts in the Amsterdam Museum~\cite{deBoer2012. Each artefact in the dataset is linked to other artifacts and details about its production, material, and content. It also has an artifact category, which serves as a prediction target. We have drawn a stratified random sample of 1,000 instances from the complete dataset. We also removed the \texttt{material relation, since it highly correlates with the artifact category. 

2. ML taks: classificaiton

3. Number of instances: 1000

4. Original source: AM

5. Linked to: AM

6. Target variables
	-"label_cateogory" (classification)


7. Stratified data split (training/test):
	-label_cateogory: TrainingSet.tsv (80%) and TestSet.tsv (20%)




8. labels distribution
http://purl.org/collections/nl/am/t-14592	55
http://purl.org/collections/nl/am/t-15459	50
http://purl.org/collections/nl/am/t-15579	116
http://purl.org/collections/nl/am/t-15606	81
http://purl.org/collections/nl/am/t-22503	347
http://purl.org/collections/nl/am/t-22504	25
http://purl.org/collections/nl/am/t-22505	86
http://purl.org/collections/nl/am/t-22506	42
http://purl.org/collections/nl/am/t-22507	15
http://purl.org/collections/nl/am/t-22508	56
http://purl.org/collections/nl/am/t-5504	127