LUIS: data collection for task oriented dialogue system creation

LUIS: data collection for task oriented dialogue system creation

CLARIN Centre of Latvian language resources and tools

Authors: Gunta, Nešpore-Bērzkalne ; Skadiņa, Inguna ; Grūzītis, Normunds ; Znotiņš, Artūrs and Goško, Didzis

Item identifier: http://hdl.handle.net/20.500.12574/47

Project URL: http://bots.ailab.lv/

Demo URL: http://bots.ailab.lv/

Referenced by: https://ebooks.iospress.nl/volumearticle/55530
https://www.aclweb.org/anthology/2021.eacl-demos.35/

Date issued: 2021

Type: corpus, text

Language(s): Latvian

Description: This multi-targeted dataset contains several datasets that allow to train goal-oriented dialogue systems for student service domain in Latvian. The dataset contains a manually annotated dataset of domain-specific dialog intents, a manually created and annotated dataset of generalised and formalised dialog scenarios based on corpus evidence, dataset for FAQ module training.

Publisher: AiLab IMCS UL

Subject(s): dialogue named entities intents FrameNet

Collection(s): Language resources and tools of AiLab IMCS UL

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Name: intents_faq.zip
Size: 5.06 KB
Format: application/zip
Description: Training, evaluation and test sets for FAQ module training. CSV format.
MD5: 1bf3bb394100d5875b71aa43a2f4d0cf

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intents_faq
- train.csv8 kB
- intents_all.csv14 kB
- test.csv2 kB
- valid.csv2 kB

Name: intents_forum.zip
Size: 6.12 KB
Format: application/zip
Description: Training, validation and test sets for intent detection.
MD5: c3c4460944f0684c20a2bb09151589fc

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intents_forum
- train.csv12 kB
- test.csv3 kB
- valid.csv1 kB

Name: dialogs.json
Size: 160.93 KB
Format: Unknown
Description: Manually annotated dataset of dialogs in Json format.
MD5: 4e3a7026fdd21157396ad4a4b56b3bc6

Name: dialogs.yaml
Size: 91.92 KB
Format: Unknown
Description: Manually annotated dataset of dialogs in YAML format.
MD5: 1ae2033006c2b48cdf0a623e63cb9428

Name: output-Luiss.json
Size: 178.74 KB
Format: Unknown
Description: The student service domain dataset consisting of approx. 300 written conversations representing 3 frequent intent classes: working hours, document submission, academic leave.
MD5: 10386b5e577fbcbdfb1b8656c7f1ee76