Release v0.7.0
Release v0.7.0
What's new?
Multiple rounds of dialogues annotation refer to the process of annotating a conversation between two or more parties through multiple iterations or rounds of annotation. In this process, after annotating each round of dialogue, the annotations are reviewed and corrected if necessary before proceeding to the next round of annotation. This iterative process is often used when handling complex or nuanced conversations that require careful analysis and interpretation. Multiple rounds of dialogue annotation can help ensure data quality and accuracy by allowing annotators to review their work and make corrections before moving on to subsequent rounds. It also helps to improve inter-annotator agreement and reduces errors and inconsistencies in the final annotated dataset.
Multiple rounds of dialogues annotation
- Add new data category - Text is support
- Allow user to upload text datasets
- New thumbnails and UI styles
This is still an early version of text annotation for LLM.
Sample dataset can be download at here.