
# Description
This is an artificially generated list of correct-incorrect sentence pairs for Gujarati. It can be used for sentence or spelling corrections.

# Use Case
1. Query correction
2. Prompt correction for language model
3. Zero-shot correction for better translation
4. Zero-shot applications to achieve similar applications for any language while training it on this dataset, as long as your model supports both languages. For example: Training an XLM-Rshared encoder-decoder model or prompt tuning a language model on this dataset and achieving inference in Italian or any other supported language, hence eliminating the need to have or generate such a dataset for the target language.
task_categories:text-generation task_categories:zero-shot-classification task_categories:text2text-generation size_categories:100K<n<1M language:gu license:other medical chemistry biology finance legal music art code climate region:us
{"language": ["gu"], "license": "other", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation", "zero-shot-classification", "text2text-generation"], "pretty_name": "Gujarati grammarly", "tags": ["medical", "chemistry", "biology", "finance", "legal", "music", "art", "code", "climate"]}
TAGS
#task_categories-text-generation #task_categories-zero-shot-classification #task_categories-text2text-generation #size_categories-100K<n<1M #language-Gujarati #license-other #medical #chemistry #biology #finance #legal #music #art #code #climate #region-us 


# Description
This is an artificially generated list of correct-incorrect sentence pairs for Gujarati. It can be used for sentence or spelling corrections.

# Use Case
1. Query correction
2. Prompt correction for language model
3. Zero-shot correction for better translation
4. Zero-shot applications to achieve similar applications for any language while training it on this dataset, as long as your model supports both languages. For example: Training an XLM-Rshared encoder-decoder model or prompt tuning a language model on this dataset and achieving inference in Italian or any other supported language, hence eliminating the need to have or generate such a dataset for the target language.
# Description
This is an artificially generated list of correct-incorrect sentence pairs for Gujarati. It can be used for sentence or spelling corrections. # Use Case
1. Query correction
2. Prompt correction for language model
3. Zero-shot correction for better translation
4. Zero-shot applications to achieve similar applications for any language while training it on this dataset, as long as your model supports both languages. For example: Training an XLM-Rshared encoder-decoder model or prompt tuning a language model on this dataset and achieving inference in Italian or any other supported language, hence eliminating the need to have or generate such a dataset for the target language.
TAGS
#task_categories-text-generation #task_categories-zero-shot-classification #task_categories-text2text-generation #size_categories-100K<n<1M #language-Gujarati #license-other #medical #chemistry #biology #finance #legal #music #art #code #climate #region-us 
 # Description
This is an artificially generated list of correct-incorrect sentence pairs for Gujarati. It can be used for sentence or spelling corrections. # Use Case
1. Query correction
2. Prompt correction for language model
3. Zero-shot correction for better translation
4. Zero-shot applications to achieve similar applications for any language while training it on this dataset, as long as your model supports both languages. For example: Training an XLM-Rshared encoder-decoder model or prompt tuning a language model on this dataset and achieving inference in Italian or any other supported language, hence eliminating the need to have or generate such a dataset for the target language.