TREC 2023 Interactive Knowledge Acquisition Track dataset

iKAT is the successor to the TREC Conversational Assistance Track (CAsT). The fourth year of CAST aimed to add more conversational elements to the interaction streams, by introducing mixed initiatives (clarifications, and suggestions) to create multi-path, multi-turn conversations for each topic. TREC iKAT evolves CAsT into a new track to signal this new trajectory. iKAT aims to focus on supporting multi-path, multi-turn, multi-perspective conversations. That is for a given topic, the direction and the conversation that evolves depends not only on the prior responses but also on the user.

Data e Risorse

Campo Valore
accessLevel public
accrualPeriodicity irregular
bureauCode {006:55}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier ark:/88434/mds2-3261
issued 2024-09-26
landingPage https://data.nist.gov/od/id/mds2-3261
language {en}
license https://www.nist.gov/open/license
modified 2024-05-09 00:00:00
programCode {006:045}
publisher National Institute of Standards and Technology
references {https://trec.nist.gov/pubs/trec32/papers/Overview_ikat.pdf}
resource-type Dataset
source_datajson_identifier true
source_hash 0e84446f029163a580d7b4180cd7f4621f627dc5f69a067a2acddb8d20ae3908
source_schema_version 1.1
theme {"Information Technology:Data and informatics"}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • trec-text-retrieval-conference
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Ian Soboroff
maintainer_email ian.soboroff@nist.gov
metadata_created 2025-09-23T14:16:35.886517
metadata_modified 2025-09-23T14:16:35.886524
notes iKAT is the successor to the TREC Conversational Assistance Track (CAsT). The fourth year of CAST aimed to add more conversational elements to the interaction streams, by introducing mixed initiatives (clarifications, and suggestions) to create multi-path, multi-turn conversations for each topic. TREC iKAT evolves CAsT into a new track to signal this new trajectory. iKAT aims to focus on supporting multi-path, multi-turn, multi-perspective conversations. That is for a given topic, the direction and the conversation that evolves depends not only on the prior responses but also on the user.
num_resources 5
num_tags 9
title TREC 2023 Interactive Knowledge Acquisition Track dataset