dataset_infos.json

{"yelp_review_full": {"description": "The Yelp reviews dataset consists of reviews from Yelp. It is extracted from the Yelp Dataset Challenge 2015 data.\nThe Yelp reviews full star dataset is constructed by Xiang Zhang ([email protected]) from the above dataset.\nIt is first used as a text classification benchmark in the following paper: Xiang Zhang, Junbo Zhao, Yann LeCun.\nCharacter-level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems 28 (NIPS 2015).\n", "citation": "@inproceedings{zhang2015character,\n  title={Character-level convolutional networks for text classification},\n  author={Zhang, Xiang and Zhao, Junbo and LeCun, Yann},\n  booktitle={Advances in neural information processing systems},\n  pages={649--657},\n  year={2015}\n}\n", "homepage": "https://www.yelp.com/dataset", "license": "https://s3-media3.fl.yelpcdn.com/assets/srv0/engineering_pages/bea5c1e92bf3/assets/vendor/yelp-dataset-agreement.pdf", "features": {"label": {"num_classes": 5, "names": ["1 star", "2 star", "3 stars", "4 stars", "5 stars"], "id": null, "_type": "ClassLabel"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "text-classification", "text_column": "text", "label_column": "label"}], "builder_name": "yelp_review_full", "config_name": "yelp_review_full", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 483811554, "num_examples": 650000, "dataset_name": "yelp_review_full"}, "test": {"name": "test", "num_bytes": 37271188, "num_examples": 50000, "dataset_name": "yelp_review_full"}}, "download_checksums": {"https://s3.amazonaws.com/fast-ai-nlp/yelp_review_full_csv.tgz": {"num_bytes": 196146755, "checksum": "56006b0a17a370f1e366504b1f2c3e3754e4a3dda17d3e718a885c552869a559"}}, "download_size": 196146755, "post_processing_size": null, "dataset_size": 521082742, "size_in_bytes": 717229497}}