
250k (40k after balancing the classes) sentences from C4 dataset (clean version of Common Crawl) with sentiment annotation (Positive, Negative, Neutral) automatically annotated with GPT3.5. Can be used to train generic (no domain) sentiment analysis model.


Labels:

0: Positive

1:Negative

2:Neutral


task_categories:text-classification task_categories:zero-shot-classification task_ids:sentiment-analysis size_categories:100K<n<1M language:en license:mit region:us
{"language": ["en"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["text-classification", "zero-shot-classification"], "task_ids": ["sentiment-analysis"]}
TAGS
#task_categories-text-classification #task_categories-zero-shot-classification #task_ids-sentiment-analysis #size_categories-100K<n<1M #language-English #license-mit #region-us 


250k (40k after balancing the classes) sentences from C4 dataset (clean version of Common Crawl) with sentiment annotation (Positive, Negative, Neutral) automatically annotated with GPT3.5. Can be used to train generic (no domain) sentiment analysis model.


Labels:

0: Positive

1:Negative

2:Neutral


TAGS
#task_categories-text-classification #task_categories-zero-shot-classification #task_ids-sentiment-analysis #size_categories-100K<n<1M #language-English #license-mit #region-us 

passage: TAGS
#task_categories-text-classification #task_categories-zero-shot-classification #task_ids-sentiment-analysis #size_categories-100K<n<1M #language-English #license-mit #region-us 
