Datasets:

Modalities:
Tabular
Text
Formats:
parquet
ArXiv:
Libraries:
Datasets
pandas
License:

Added language distribution to README

#2
by dvruette - opened
Files changed (1) hide show
  1. README.md +45 -5
README.md CHANGED
@@ -119,7 +119,7 @@ size_categories:
119
 
120
  - **Homepage:** https://www.open-assistant.io/
121
  - **Repository:** https://github.com/LAION-AI/Open-Assistant
122
- - **Paper:** TBA
123
 
124
  ### Dataset Summary
125
 
@@ -129,13 +129,53 @@ corpus consisting of 161,443 messages distributed across 66,497 conversation tre
129
  35 different languages, annotated with 461,292 quality ratings. The corpus is a product
130
  of a worldwide crowd-sourcing effort involving over 13,500 volunteers.
131
 
132
- ### Supported Tasks and Leaderboards
133
-
134
- [More Information Needed]
135
 
136
  ### Languages
137
 
138
- [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
139
 
140
  ## Dataset Structure
141
 
 
119
 
120
  - **Homepage:** https://www.open-assistant.io/
121
  - **Repository:** https://github.com/LAION-AI/Open-Assistant
122
+ - **Paper:** TBA on April 17, 2023
123
 
124
  ### Dataset Summary
125
 
 
129
  35 different languages, annotated with 461,292 quality ratings. The corpus is a product
130
  of a worldwide crowd-sourcing effort involving over 13,500 volunteers.
131
 
 
 
 
132
 
133
  ### Languages
134
 
135
+ OpenAssistant Conversations incorporates 35 different languages with a distribution of messages as follows:
136
+
137
+ **Languages with over 1000 messages
138
+ - English: 71956
139
+ - Spanish: 43061
140
+ - Russian: 9089
141
+ - German: 5279
142
+ - Chinese: 4962
143
+ - French: 4251
144
+ - Thai: 3042
145
+ - Portuguese (Brazil): 2969
146
+ - Catalan: 2260
147
+ - Korean: 1553
148
+ - Ukrainian: 1352
149
+ - Italian: 1320
150
+ - Japanese: 1018
151
+
152
+ <details>
153
+ <summary>**Languages with < 1000 messages**</summary>
154
+ <ul>
155
+ <li>Vietnamese: 952</li>
156
+ <li>Basque: 947</li>
157
+ <li>Polish: 886</li>
158
+ <li>Hungarian: 811</li>
159
+ <li>Arabic: 666</li>
160
+ <li>Dutch: 628</li>
161
+ <li>Swedish: 512</li>
162
+ <li>Turkish: 454</li>
163
+ <li>Finnish: 386</li>
164
+ <li>Czech: 372</li>
165
+ <li>Danish: 358</li>
166
+ <li>Galician: 339</li>
167
+ <li>Hebrew: 255</li>
168
+ <li>Romanian: 200</li>
169
+ <li>Norwegian Bokmål: 133</li>
170
+ <li>Indonesian: 115</li>
171
+ <li>Bulgarian: 95</li>
172
+ <li>Bengali: 82</li>
173
+ <li>Persian: 72</li>
174
+ <li>Greek: 66</li>
175
+ <li>Esperanto: 59</li>
176
+ <li>Slovak: 19</li>
177
+ </ul>
178
+ </details>
179
 
180
  ## Dataset Structure
181