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README.md
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---
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#### Who are the source data producers?
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<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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[More Information Needed]
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### Annotations [optional]
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<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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#### Annotation process
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<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
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[More Information Needed]
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#### Who are the annotators?
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<!-- This section describes the people or systems who created the annotations. -->
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[More Information Needed]
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#### Personal and Sensitive Information
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<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Dataset Card Authors [optional]
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[More Information Needed]
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## Dataset Card Contact
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[More Information Needed]
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- 100M<n<1B
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---
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--
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2nd International Chinese Word Segmentation Bakeoff - Data Release
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Release 1, 2005-11-18
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--
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* Introduction
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This directory contains the training, test, and gold-standard data
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used in the 2nd International Chinese Word Segmentation Bakeoff. Also
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included is the script used to score the results submitted by the
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bakeoff participants and the simple segmenter used to generate the
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baseline and topline data.
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--
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* File List
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gold/ Contains the gold standard segmentation of the test data
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along with the training data word lists.
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scripts/ Contains the scoring script and simple segmenter.
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testing/ Contains the unsegmented test data.
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training/ Contains the segmented training data.
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doc/ Contains the instructions used in the bakeoff.
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--
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* Encoding Issues
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Files with the extension ".utf8" are encoded in UTF-8 Unicode.
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Files with the extension ".txt" are encoded as follows:
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as_ Big Five (CP950)
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hk_ Big Five/HKSCS
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msr_ EUC-CN (CP936)
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pku_ EUC-CN (CP936)
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EUC-CN is often called "GB" or "GB2312" encoding, though technically
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GB2312 is a character set, not a character encoding.
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* Scoring
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The script 'score' is used to generate compare two segmentations. The
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script takes three arguments:
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1. The training set word list
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2. The gold standard segmentation
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3. The segmented test file
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You must not mix character encodings when invoking the scoring
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script. For example:
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% perl scripts/score gold/cityu_training_words.utf8 \
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gold/cityu_test_gold.utf8 test_segmentation.utf8 > score.ut8
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* Licensing
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The corpora have been made available by the providers for the purposes
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of this competition only. By downloading the training and testing
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corpora, you agree that you will not use these corpora for any other
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purpose than as material for this competition. Petitions to use the
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data for any other purpose MUST be directed to the original providers
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of the data. Neither SIGHAN nor the ACL will assume any liability for
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a participant's misuse of the data.
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* Questions?
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Questions or comments about these data can be sent to Tom Emerson,
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