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dc.contributor.authorFrommherz, Yannick-
dc.contributor.authorZarcone, Alessandra-
dc.date.accessioned2021-06-10T14:26:22Z-
dc.date.available2021-06-10T14:26:22Z-
dc.date.issued2021-06-
dc.identifier.urihttps://fordatis.fraunhofer.de/handle/fordatis/198-
dc.identifier.urihttp://dx.doi.org/10.24406/fordatis/124-
dc.description.abstractThe CROWDSS dataset (Crowdsourced Wizard of Oz Dialogue dataset based on Situated Scenarios) contains 113 German dialogues collected in a Wizard-of-Oz fashion (i.e., simulating human-machine interaction). To refer to CROWDSS in any publication, please cite the following paper: Frommherz, Y. and Zarcone, A. (2021). Crowdsourcing ecologically-valid dialogue data for German. In Frontiers in Computer Science, Vol 3, doi: 10.3389/fcomp.2021.686050en
dc.language.isodeen
dc.relation.ispartof10.3389/fcomp.2021.686050-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectdialogue dataen
dc.subjectvoice assistantsen
dc.subjectcrowdsourcingen
dc.subjectWizard-of-Ozen
dc.subjectGermanen
dc.subjectecological validityen
dc.subjectsituated knowledgeen
dc.subject.ddcDDC::400 Spracheen
dc.subject.ddcDDC::000 Informatik, Informationswissenschaft, allgemeine Werkeen
dc.titleCROWDSS: A crowdsourced, ecologically-valid dialogue dataset for Germanen
dc.typeTextual Dataen
dc.contributor.funderBundesministerium fur Wirtschaft und Energie BMWi (Deutschland)en
dc.description.technicalinformationThe dataset is structured as follows: Each dialogue is saved as a dictionary (with the dialogue id as key) containing 1) the scenario which was used for eliciting the corresponding dialogue and 2) the log. The log is a list of turns made by user and assistant, where each turn again is a dictionary containing the actual turn ("text"), who uttered it ("role") as well as the corresponding dialogue act annotations, following the scheme in Pareti and Lando (2019) but with some modifications (see annotation guidelines). The dialogue acts are saved as a list with the label as well as the start and end indices in the text. The dialogues were collected on a turn-by-turn basis and using a one-to-many ratio (see paper). The dialogue ids consist of numbers separated by dots. The first number corresponds to the the 30 dialogue beginnings that where collected in batch 1 (see paper). Since we assigned each of these dialogues to multiple participants in batch 2, dialogues sharing the first number in their id share both the same scenario and the first turn, etc.en
fordatis.instituteIIS Fraunhofer-Institut für Integrierte Schaltungenen
fordatis.project.fhgid210011en
fordatis.rawdatafalseen
fordatis.sponsorship.FundingProgrammeInnovationswettbewerb "Künstliche Intelligenz als Treiber für volkswirtschaftlich relevante Ökosysteme"en
fordatis.sponsorship.projectidFKZ 01MK20011Aen
fordatis.sponsorship.projectnameSPEAKER - Aufbau einer führenden Sprachassistenzplattform ”Made in Germany”en
fordatis.sponsorship.projectacronymSPEAKERen
fordatis.date.start2020-06-
fordatis.date.end2021-03-
Enthalten in den Sammlungen:Fraunhofer-Institut für Integrierte Schaltungen IIS

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
Annotation guidelines.pdfGuidelines for the dialogue act annotation222,15 kBAdobe PDFÖffnen/Download
CROWDSS.jsonCROWDSS dataset458,87 kBUnknownÖffnen/Download
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