Datasets:
GEM
/

Languages:
Chinese
Multilinguality:
unknown
Size Categories:
unknown
Language Creators:
unknown
Annotations Creators:
crowd-sourced
Source Datasets:
original
License:
Sebastian Gehrmann commited on
Commit
2e02790
1 Parent(s): 6df4bcc

Data Card.

Browse files
Files changed (2) hide show
  1. README.md +2 -2
  2. RiSAWOZ.json +2 -2
README.md CHANGED
@@ -1407,7 +1407,7 @@ no
1407
 
1408
  <!-- info: Getting started with in-depth research on the task. Add relevant pointers to resources that researchers can consult when they want to get started digging deeper into the task. -->
1409
  <!-- scope: microscope -->
1410
- https://terryqj0107.github.io/RiSAWOZ_webpage
1411
 
1412
  #### Technical Terms
1413
 
@@ -1663,7 +1663,7 @@ yes
1663
 
1664
  <!-- info: Describe the original dataset's maintenance plan. -->
1665
  <!-- scope: microscope -->
1666
- Building a leaderboard webpage to trace and display the latest results on the dataset (done, https://terryqj0107.github.io/RiSAWOZ_webpage/)
1667
 
1668
  #### Maintainer Contact Information
1669
 
 
1407
 
1408
  <!-- info: Getting started with in-depth research on the task. Add relevant pointers to resources that researchers can consult when they want to get started digging deeper into the task. -->
1409
  <!-- scope: microscope -->
1410
+ [Website](https://terryqj0107.github.io/RiSAWOZ_webpage)
1411
 
1412
  #### Technical Terms
1413
 
 
1663
 
1664
  <!-- info: Describe the original dataset's maintenance plan. -->
1665
  <!-- scope: microscope -->
1666
+ Building a leaderboard webpage to trace and display the latest results on the [dataset](https://terryqj0107.github.io/RiSAWOZ_webpage/)
1667
 
1668
  #### Maintainer Contact Information
1669
 
RiSAWOZ.json CHANGED
@@ -100,7 +100,7 @@
100
  },
101
  "maintenance": {
102
  "has-maintenance": "yes",
103
- "description": "Building a leaderboard webpage to trace and display the latest results on the dataset (done, https://terryqj0107.github.io/RiSAWOZ_webpage/)",
104
  "contact": "Deyi Xiong (dyxiong@tju.edu.cn)",
105
  "contestation-mechanism": "contact maintainer",
106
  "contestation-link": "Deyi Xiong (dyxiong@tju.edu.cn)",
@@ -124,7 +124,7 @@
124
  "additional-splits-capacicites": "N/A"
125
  },
126
  "starting": {
127
- "research-pointers": "https://terryqj0107.github.io/RiSAWOZ_webpage",
128
  "technical-terms": "- In task-oriented dialogue system, the Natural Language Understanding (NLU) module aims to convert the user utterance into the representation that computer can understand, which includes intent and dialogue act (slot & value) detection.\n- Dialogue State Tracking (DST) is a core component in task-oriented dialogue systems, which extracts dialogue states (user goals) embedded in dialogue context. It has progressed toward open-vocabulary or generation-based DST where state-of-the-art models can generate dialogue states from dialogue context directly.\n- Context-to-Text Generation: encoding dialogue context to decode system response.\n- Coreference Resolution: predict coreference clusters where all mentions are referring to the same entity for each dialogue.\n- Unified Generative Ellipsis and Coreference Resolution: generating omitted or referred expressions from the dialogue context."
129
  }
130
  },
 
100
  },
101
  "maintenance": {
102
  "has-maintenance": "yes",
103
+ "description": "Building a leaderboard webpage to trace and display the latest results on the [dataset](https://terryqj0107.github.io/RiSAWOZ_webpage/)",
104
  "contact": "Deyi Xiong (dyxiong@tju.edu.cn)",
105
  "contestation-mechanism": "contact maintainer",
106
  "contestation-link": "Deyi Xiong (dyxiong@tju.edu.cn)",
 
124
  "additional-splits-capacicites": "N/A"
125
  },
126
  "starting": {
127
+ "research-pointers": "[Website](https://terryqj0107.github.io/RiSAWOZ_webpage)",
128
  "technical-terms": "- In task-oriented dialogue system, the Natural Language Understanding (NLU) module aims to convert the user utterance into the representation that computer can understand, which includes intent and dialogue act (slot & value) detection.\n- Dialogue State Tracking (DST) is a core component in task-oriented dialogue systems, which extracts dialogue states (user goals) embedded in dialogue context. It has progressed toward open-vocabulary or generation-based DST where state-of-the-art models can generate dialogue states from dialogue context directly.\n- Context-to-Text Generation: encoding dialogue context to decode system response.\n- Coreference Resolution: predict coreference clusters where all mentions are referring to the same entity for each dialogue.\n- Unified Generative Ellipsis and Coreference Resolution: generating omitted or referred expressions from the dialogue context."
129
  }
130
  },