Skup podataka sa Zenodo · Fein, Benedikt
Companion Data for ScratchLog+: Live Analytics of Learners' Exercise Progress
- Licenca
- CC BY 4.0dozvoljena komercijalna upotrebaTekst licence
- Licenca dozvoljava komercijalnu upotrebu. Obično treba navesti autora — tačni uslovi su u tekstu licence.
- Formati
- SQL, ZIP
- Veličina
- 429 MB
- Ažurirano
- 29. 7. 2026.
Opis
This repository contains the companion data for the tool demonstration paper ‘ScratchLog+: Live Analytics of Learners' Exercise Progress’ published at the Tools and Datasets track of the International Conference Automated Software Engineering (ASE) 2026. ( doi:10.1145/3832783.3834618 ) The code of ScratchLog+ can be found at https://github.com/se2p/ScratchLog . Our extensions to Whisker are part of https://github.com/se2p/Whisker . Using the provided data Mount the downloaded SQL file to the database container by configuring it in the docker-compose.yaml file of the ScratchLog repository: services: … database: … volumes: - ase2026 scratchlog-plus demo.sql:/docker-entrypoint-initdb.d/init.sql - scratchlog-db:/var/lib/mysql … After starting ScratchLog, you can then log in to http://localhost:8090/ with username admin and password ASE2026tool . If you want to use the GGNN model to compute the embeddings, you can download the model checkpoint and unpack the archive into embedding-connector/data/ after checking out the ScratchLog repository and pointing the embedding connector to the GGNN config via the environment variable GGNN MODEL…
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