
This is the data used in the paper [Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias](https://github.com/yueyu1030/AttrPrompt).

- `label.txt`: the label name for each class
- `train.jsonl`: The original training set.
- `valid.jsonl`: The original validation set.
- `test.jsonl`: The original test set.
- `simprompt.jsonl`: The training data generated by the simple prompt.
- `attrprompt.jsonl`: The training data generated by the attributed prompt.
task_categories:text-classification size_categories:1K<n<10K language:en license:apache-2.0 sentiment restaurant_review region:us
{"language": ["en"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "tags": ["sentiment", "restaurant_review"], "version": ["v1"]}
TAGS
#task_categories-text-classification #size_categories-1K<n<10K #language-English #license-apache-2.0 #sentiment #restaurant_review #region-us 


This is the data used in the paper Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.

- 'URL': the label name for each class
- 'URL': The original training set.
- 'URL': The original validation set.
- 'URL': The original test set.
- 'URL': The training data generated by the simple prompt.
- 'URL': The training data generated by the attributed prompt.
TAGS
#task_categories-text-classification #size_categories-1K<n<10K #language-English #license-apache-2.0 #sentiment #restaurant_review #region-us 
