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README.md

@@ -1,3 +1,16 @@
+---
+language:
+- en
+license: []
+multilinguality:
+- monolingual
+pretty_name: KVRET
+size_categories:
+- 1K<n<10K
+task_categories:
+- conversational
+---
+
 # Dataset Card for KVRET
 
 - **Repository:** https://nlp.stanford.edu/blog/a-new-multi-turn-multi-domain-task-oriented-dialogue-dataset/
@@ -5,6 +18,16 @@
 - **Leaderboard:** None
 - **Who transforms the dataset:** Qi Zhu(zhuq96 at gmail dot com)
 
+To use this dataset, you need to install [ConvLab-3](https://github.com/ConvLab/ConvLab-3) platform first. Then you can load the dataset via:
+```
+from convlab.util import load_dataset, load_ontology, load_database
+
+dataset = load_dataset('kvret')
+ontology = load_ontology('kvret')
+database = load_database('kvret')
+```
+For more usage please refer to [here](https://github.com/ConvLab/ConvLab-3/tree/master/data/unified_datasets).
+
 ### Dataset Summary
 
 In an effort to help alleviate this problem, we release a corpus of 3,031 multi-turn dialogues in three distinct domains appropriate for an in-car assistant: calendar scheduling, weather information retrieval, and point-of-interest navigation. Our dialogues are grounded through knowledge bases ensuring that they are versatile in their natural language without being completely free form.