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+1. Title: Teaching Assistant Evaluation
+
+2. Sources:
+   (a) Collector: Wei-Yin Loh (Department of Statistics, UW-Madison)
+   (b) Donor:     Tjen-Sien Lim (limt@stat.wisc.edu)
+   (b) Date:      June 7, 1997
+
+3. Past Usage:
+   1. Loh, W.-Y. & Shih, Y.-S. (1997). Split Selection Methods for 
+      Classification Trees, Statistica Sinica 7: 815-840.
+   2. Lim, T.-S., Loh, W.-Y. & Shih, Y.-S. (1999). A Comparison of
+      Prediction Accuracy, Complexity, and Training Time of
+      Thirty-three Old and New Classification Algorithms. Machine
+      Learning. Forthcoming.
+      (ftp://ftp.stat.wisc.edu/pub/loh/treeprogs/quest1.7/mach1317.pdf or
+      (http://www.stat.wisc.edu/~limt/mach1317.pdf)
+
+4. Relevant Information:
+   The data consist of evaluations of teaching performance over three
+   regular semesters and two summer semesters of 151 teaching assistant
+   (TA) assignments at the Statistics Department of the University of
+   Wisconsin-Madison. The scores were divided into 3 roughly equal-sized
+   categories ("low", "medium", and "high") to form the class variable.
+
+5. Number of Instances: 151
+
+6. Number of Attributes: 6 (including the class attribute)
+
+7. Attribute Information:
+  
+   1. Whether of not the TA is a native English speaker (binary)
+      1=English speaker, 2=non-English speaker
+   2. Course instructor (categorical, 25 categories)
+   3. Course (categorical, 26 categories)
+   4. Summer or regular semester (binary) 1=Summer, 2=Regular
+   5. Class size (numerical)
+   6. Class attribute (categorical) 1=Low, 2=Medium, 3=High
+
+8. Missing Attribute Values: None