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README.md
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## Model objective
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## Data used
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---
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language:
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- es
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license: apache-2.0
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tags:
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- Text2Text Generation
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- Inclusive Language
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- Text Neutralization
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- pytorch
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# datasets:
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#- {Pending} # Example: common_voice. Use dataset id from https://hf.co/datasets
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metrics:
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- sacrebleu
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model-index:
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- name: es_nlp_text_neutralizer
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results:
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- task:
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type: Text2Text Generation
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name: Neutralization of texts in Spanish
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# dataset:
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# type: {Pending} # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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# name: {handcrafted dataset} # Optional. Example: Common Voice zh-CN
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# args: {es} # Optional. Example: zh-CN
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metrics:
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- type: sacrebleu # Required. Example: wer
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value: 93.8347 # Required. Example: 20.90
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name: DiffBleu # Optional. Example: Test WER
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args: 0.38 # Optional. Example for BLEU: max_order
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---
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## Model objective
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## Data used
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