Spaces:

somosnlp-hackathon-2022
/

es_nlp_gender_neutralizer

Build error

fermaat commited on Apr 1, 2022

Commit

f53df5a

•

1 Parent(s): c9273e4

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -32,7 +32,7 @@ Given any input, our model will generate a gender neutral sentence, correcting a
   <img src="https://upload.wikimedia.org/wikipedia/commons/2/29/Gender_equality_symbol_%28clipart%29.png" width="250"/>
 </p>
-One of the toughest challenges when building the app and the model was to find proper data for training the model. Therefore, the team opted to dedicate a considerable amount of time to build it from the scratch. These data has been obtained from a series of guidelines and manuals issued by Spanish Ministry of Health, Social Services and Equality in the matter of the usage of non-sexist language, stipulated in this linked [document](https://www.inmujeres.gob.es/servRecursos/formacion/GuiasLengNoSexista/docs/Guiaslenguajenosexista_.pdf). You can take a look at some details of the process in the linked dataset
 <h1 style="font-size:2vw">Future steps</h1>
 <ul>
@@ -40,7 +40,7 @@ One of the toughest challenges when building the app and the model was to find p
   <li> Following that, a broader dataset would help reducing some overfitting and making a more robust model </a>
   <li> Further training of different model backbones</a>
   <li> Reduce the gender biases existing on some of the data for training Language Models by using the output of this model</a>
-  <li> Share ideas with the community for further improving </a>
 </ul>
 <h1 style="font-size:2vw">Team Members</h1>

   <img src="https://upload.wikimedia.org/wikipedia/commons/2/29/Gender_equality_symbol_%28clipart%29.png" width="250"/>
 </p>
+One of the toughest challenges when building the app and the model was to find proper data for training the model. Therefore, the team opted to dedicate a considerable amount of time to build it from the scratch. These data have been obtained from a series of guidelines and manuals issued by Spanish Ministry of Health, Social Services and Equality in the matter of the usage of non-sexist language, stipulated in this linked [document](https://www.inmujeres.gob.es/servRecursos/formacion/GuiasLengNoSexista/docs/Guiaslenguajenosexista_.pdf). You can take a look at some details of the process in the linked dataset
 <h1 style="font-size:2vw">Future steps</h1>
 <ul>
   <li> Following that, a broader dataset would help reducing some overfitting and making a more robust model </a>
   <li> Further training of different model backbones</a>
   <li> Reduce the gender biases existing on some of the data for training Language Models by using the output of this model</a>
+  <li> Share ideas with the community for further improvement </a>
 </ul>
 <h1 style="font-size:2vw">Team Members</h1>