TIPSTER Volume 1

Item Name: TIPSTER Volume 1
Author(s): Donna Harman, Mark Liberman
LDC Catalog No.: LDC93T3B
ISBN: 1-58563-021-7
ISLRN: 002-828-735-548-8
Member Year(s): 1993
DCMI Type(s): Text
Data Source(s): newswire, varied
Project(s): MUC, Tipster, TREC
Application(s): information retrieval, language modeling
Language(s): English
Language ID(s): eng
License(s): Tipster Volume 1 Agreement Individual
Tipster Volume 1 Agreement Organization
Online Documentation: LDC93T3B Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Harman, Donna, and Mark Liberman. TIPSTER Volume 1 LDC93T3B. Web Download. Philadelphia: Linguistic Data Consortium, 1993.
Related Works: View


TIPSTER is sometimes also called the Text Research Collection Volume or TREC. TIPSTER Volume 1 contains the first disk, and Tipster Complete (LDC93T3A) contains all disks.

The TIPSTER project was sponsored by the Software and Intelligent Systems Technology Office of the Advanced Research Projects Agency (ARPA/SISTO) in an effort to significantly advance the state of the art in effective document detection (information retrieval) and data extraction from large, real-world data collections.

The detection data is comprised of a test collection built at NIST for the TIPSTER project and the related TREC project. The TREC project has many other participating information retrieval research groups, working on the same task as the TIPSTER groups, but meeting once a year in a workshop to compare results (similar to MUC). The test collection consists of three CD-ROMs of SGML encoded documents distributed by LDC plus queries and answers (relevant documents) distributed by NIST.


The documents in the test collection are varied in style, size and subject domain. The first disk contains material from the Wall Street Journal, (1986, 1987, 1988, 1989), the AP Newswire (1989), the Federal Register (1989), information from Computer Select disks (Ziff-Davis Publishing) and short abstracts from the Department of Energy. The format of all the documents is relatively clean and easy to use, with SGML-like tags separating documents and document fields. There is no part-of-speech tagging or breakdown into individual sentences or paragraphs as the purpose of this collection is to test retrieval against real-world data.

Source (vol) Year Approx. # Words (Millions)
Associated Press (1) 1989 40
Wall Street Journal (1) 1987 20
Wall Street Journal (1) 1988 17
Wall Street Journal (1) 1989 6
Dept. of Energy (1)   28
Federal Register (1) 1989 38
Ziff/Davis (1)   36


Please view these samples:


The three Tipster discs so far released have been re-issued with updates and corrections and all recipients of the earlier versions should have received these replacements free of charge. If you think you have the unrevised original, contact LDC for confirmation.

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