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Data

Agvaluate

The University of Queensland
Associate Professor Bevan Koopman (Aggregated by) Dr Ahmed Mourad (Aggregated by) Dr Ahmed Mourad (Aggregated by) Mr Hang Li (Aggregated by) Mr Hang Li (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/0160dc7&rft.title=Agvaluate&rft.identifier=RDM ID: 6f3741d0-e541-11ec-8b7d-ffdfa0f38746&rft.publisher=The University of Queensland&rft.description=Agvaluate is a new test collection for both passage and document retrieval in the Agriculture domain. This part only contains the report PDFs, the journal section need to be crawled by the users themselves.&rft.creator=Associate Professor Bevan Koopman&rft.creator=Dr Ahmed Mourad&rft.creator=Dr Ahmed Mourad&rft.creator=Mr Hang Li&rft.creator=Mr Hang Li&rft.creator=Professor Guido Zuccon&rft.creator=Professor Guido Zuccon&rft.date=2022&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=Information Retrieval and Web Search&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=LIBRARY AND INFORMATION STUDIES&rft.type=dataset&rft.language=English Access the data
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Contact Information

hang.li@uq.edu.au
School of Information Technology and Electrical Engineering

Full description

Agvaluate is a new test collection for both passage and document retrieval in the Agriculture domain. This part only contains the report PDFs, the journal section need to be crawled by the users themselves.

Issued: 2022

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Subjects
Information and Computing Sciences | Information Retrieval and Web Search | Library and Information Studies | eng |

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local : UQ:289097

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