q/a model, structurally same as RobBERT-v2-nl-qa, but trained with an augmented dataset.
sentences from the context not containing the answer-span have been moved from before the
answer to after the answer, and v.v.
The start of the answer has been adapted accordingly. these modified records have an "m"
appended to their ID field.
example dutch question and context for the hosted inference api:
Q: Op welke wijze heeft de termiet zich kunnen verspreiden ?
CX: De koloniën zijn verspreid over twee woningen, bijgebouwen en tuinen in Zuid-Holland.
Een van de panden is een groot kassencomplex. Daaruit zijn meerdere planten verkocht,
waardoor het mogelijk is dat de termiet zich al verder heeft verspreid.
Eerdere pogingen om de koloniën uit te roeien zijn mislukt.
De plantenverkoop vanuit het koloniegebied is inmiddels tijdelijk stopgezet.
Developed by: [More Information Needed]
Shared by [optional]: [More Information Needed]
Model type: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Finetuned from model [optional]: [More Information Needed]
Model Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]
Uses
Direct Use
[More Information Needed]
Downstream Use [optional]
[More Information Needed]
Out-of-Scope Use
[More Information Needed]
Bias, Risks, and Limitations
[More Information Needed]
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.