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README.md

@@ -1,10 +1,34 @@
-# Dataset Card for Taskmaster-1
+---
+language:
+- en
+license:
+- cc-by-4.0
+multilinguality:
+- monolingual
+pretty_name: Taskmaster-3
+size_categories:
+- 10K<n<100K
+task_categories:
+- conversational
+---
+
+# Dataset Card for Taskmaster-3
 
 - **Repository:** https://github.com/google-research-datasets/Taskmaster/tree/master/TM-3-2020
 - **Paper:** https://aclanthology.org/2021.acl-long.55.pdf
 - **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('tm3')
+ontology = load_ontology('tm3')
+database = load_database('tm3')
+```
+For more usage please refer to [here](https://github.com/ConvLab/ConvLab-3/tree/master/data/unified_datasets).
+
 ### Dataset Summary
 
 The Taskmaster-3 (aka TicketTalk) dataset consists of 23,789 movie ticketing dialogs (located in Taskmaster/TM-3-2020/data/). By "movie ticketing" we mean conversations where the customer's goal is to purchase tickets after deciding on theater, time, movie name, number of tickets, and date, or opt out of the transaction.