
This dataset is a quick-and-dirty benchmark for predicting ratings across
different domains and on different rating scales based on text. It pulls in a
bunch of rating datasets, takes at most 1000 instances from each and combines
them into a big dataset.

Requires the `kaggle` library to be installed, and kaggle API keys passed
through environment variables or in ~/.kaggle/kaggle.json. See [the Kaggle
docs](https://www.kaggle.com/docs/api#authentication).

task_categories:text-classification task_ids:text-scoring task_ids:sentiment-scoring language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:extended|app_reviews language:en license:unknown reviews ratings ordinal text region:us
{"language_creators": ["found"], "language": ["en"], "license": "unknown", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|app_reviews"], "task_categories": ["text-classification"], "task_ids": ["text-scoring", "sentiment-scoring"], "pretty_name": "Blue", "tags": ["reviews", "ratings", "ordinal", "text"]}
TAGS
#task_categories-text-classification #task_ids-text-scoring #task_ids-sentiment-scoring #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|app_reviews #language-English #license-unknown #reviews #ratings #ordinal #text #region-us 


This dataset is a quick-and-dirty benchmark for predicting ratings across
different domains and on different rating scales based on text. It pulls in a
bunch of rating datasets, takes at most 1000 instances from each and combines
them into a big dataset.

Requires the 'kaggle' library to be installed, and kaggle API keys passed
through environment variables or in ~/.kaggle/URL. See the Kaggle
docs.

TAGS
#task_categories-text-classification #task_ids-text-scoring #task_ids-sentiment-scoring #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|app_reviews #language-English #license-unknown #reviews #ratings #ordinal #text #region-us 
