Linux Plan Corpus
The Linux Plan Corpus is a collection of Linux sessions collected from
students, faculty and staff of the Department of
Computer Science at the University of Rochester in 2003.
Each session is labeled with a
parameterized, top-level goal that is being pursued in the session.
The corpus consists of a total of 547 sessions (457 of which were indicated as successfully
completing the goal), using 19 goal schemas and 43 action schemas. The average number of
commands in a successful session was 6.1 actions.
This corpus was created as part of a project for goal schema and parameter recognition.
It may be freely downloaded and used, although we ask that you let us know if you
are using it so we can more persuasively convince our sponsors that it is useful.
Also, please cite the following paper when referencing the corpus:
- Nate Blaylock and James Allen.
Statistical goal parameter recognition.
In Shlomo Zilberstein, Jana Koehler, and Sven Koenig, editors,
Proceedings of the Fourteenth International Conference on Automated Planning and Scheduling (ICAPS'04), pages 297-304,
Whistler, British Columbia, June 3-7 2004.
[pdf]
Documentation
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Work that Uses the Corpus
(Please send me a note if you know of a paper that should be included here.)
- Han The Anh and Luis Moniz Pereira.
Corpus-Based Incremental Intention Recognition via Bayesian Network Model Construction.
In ICAPS Workshop on Goal, Activity and Plan Recognition (GAPRec).
Freiburg, Germany, June 2011.
- Marcelo G. Armentano and Analia Amandi.
Goal Recognition with Variable-Order Markov Models.
In Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI'09). Pasadena, CA, July 2009.
- Dan Tecuci and Bruce Porter.
Memory Based Goal Schema Recognition.
In Proceedings of the 22nd Florida Artificial Intelligence Research Society Conference (FLAIRS-22), Sanibel Island, FL, 2009.
- Dan Tecuci and Bruce Porter.
An Episodic Based Approach to Complex Event Processing.
In AAAI Spring Symposium on Intelligent Event Processing, Stanford, CA, 2009.
- Dan Tecuci.
A Generic Memory Module for Events.
PhD thesis, University of Texas at Austin, Computer Sciences Department. August 2007.
- Dan Tecuci and Bruce Porter.
Using an Episodic Memory Module for Pattern Capture and Recognition.
In AAAI Fall Symposium on Capturing and Using Patterns for Evidence Detection.
Arlington, VA, October 2006.
- Nathan J. Blaylock.
Towards Tractable Agent-based Dialogue.
PhD thesis, University of Rochester, Dept. of Computer Science,
August 2005.
[pdf]
- Nate Blaylock and James Allen.
Recognizing instantiated goals using statistical methods.
In Gal Kaminka, editor, Workshop on Modeling Others from
Observations (MOO-2005), pages 79-86, Edinburgh, July 30 2005.
[pdf]
- Nate Blaylock and James Allen.
Statistical goal parameter recognition.
In Shlomo Zilberstein, Jana Koehler, and Sven Koenig, editors,
Proceedings of the Fourteenth International Conference on Automated Planning and Scheduling (ICAPS'04), pages 297-304,
Whistler, British Columbia, June 3-7 2004.
[pdf]
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