DEVELOPMENT... { "data_id": "42494", "name": "beer_reviews", "exact_name": "beer_reviews", "version": 7, "version_label": null, "description": "This dataset consists of beer reviews from Beeradvocate. The data span a period of more than 10 years, including all ~1.5 million reviews up to November 2011. Each review includes ratings in terms of five \"aspects\": appearance, aroma, palate, taste, and overall impression. Reviews include product and user information, followed by each of these five ratings, and a plaintext review. We also have reviews from ratebeer. For this version, the task was downsampled to 2 percent. The feature review_overall was chosen as the target. Ignore some useless features and encode as features as factor variables.", "format": "ARFF", "uploader": " Ewing", "uploader_id": 1475, "visibility": "public", "creator": null, "contributor": null, "date": "2020-06-11 21:24:16", "update_comment": null, "last_update": "2020-06-11 21:24:16", "licence": "Public", "status": "in_preparation", "error_message": "XSD does not comply. XSD errors: XML does not correspond to XSD schema. Error Element '{http:\/\/openml.org\/openml}error': [facet 'maxLength'] The value has a length of '1625'; this exceeds the allowed maximum length of '1024'.\n on line 4 column 0. Error Element '{http:\/\/openml.org\/openml}error': 'Problem validating uploaded description file: XML does not correspond to XSD schema. Error Element '{http:\/\/openml.org\/openml}nominal_value': [facet 'pattern'] The value 'Bière de Champagne \/ Bière Brut' is not accepted by the pattern '\\p{IsBasicLatin}*'.\n on line 39342 column 0. Error Element '{http:\/\/openml.org\/openml}nominal_value': 'Bière de Champagne \/ Bière Brut' is not a valid value of the atomic type '{http:\/\/openml.org\/openml}basic_latin256'.\n on line 39342 column 0. Error Element '{http:\/\/openml.org\/openml}nominal_value': [facet 'pattern'] The value 'Bière de Garde' is not accepted by the pattern '\\p{IsBasicLatin}*'.\n on line 39343 column 0. Error Element '{http:\/\/openml.or", "url": "https:\/\/www.openml.org\/data\/download\/21854422\/file86eb683c6b77.arff", "default_target_attribute": "review_overall", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "beer_reviews", "This dataset consists of beer reviews from Beeradvocate. The data span a period of more than 10 years, including all ~1.5 million reviews up to November 2011. Each review includes ratings in terms of five \"aspects\": appearance, aroma, palate, taste, and overall impression. Reviews include product and user information, followed by each of these five ratings, and a plaintext review. We also have reviews from ratebeer. For this version, the task was downsampled to 2 percent. The feature review_over " ], "weight": 5 }, "qualities": [], "tags": [], "features": [], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 0, "total_downloads": 0, "reach": 0, "reuse": 0, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 0 }