{ "allocine": { "description": " Allocine Dataset: A Large-Scale French Movie Reviews Dataset.\n This is a dataset for binary sentiment classification, made of user reviews scraped from Allocine.fr.\n It contains 100k positive and 100k negative reviews divided into 3 balanced splits: train (160k reviews), val (20k) and test (20k).\n", "citation": "@misc{blard2019allocine,\n author = {Blard, Theophile},\n title = {french-sentiment-analysis-with-bert},\n year = {2020},\n publisher = {GitHub},\n journal = {GitHub repository},\n howpublished={\\url{https://github.com/TheophileBlard/french-sentiment-analysis-with-bert}},\n}\n", "homepage": "https://github.com/TheophileBlard/french-sentiment-analysis-with-bert", "license": "", "features": { "review": { "dtype": "string", "_type": "Value" }, "label": { "names": [ "neg", "pos" ], "_type": "ClassLabel" } }, "task_templates": [ { "task": "text-classification", "text_column": "review", "label_column": "label" } ], "builder_name": "allocine", "dataset_name": "allocine", "config_name": "allocine", "version": { "version_str": "1.0.0", "major": 1, "minor": 0, "patch": 0 }, "splits": { "train": { "name": "train", "num_bytes": 91330632, "num_examples": 160000, "dataset_name": null }, "validation": { "name": "validation", "num_bytes": 11546242, "num_examples": 20000, "dataset_name": null }, "test": { "name": "test", "num_bytes": 11547689, "num_examples": 20000, "dataset_name": null } }, "download_size": 75125954, "dataset_size": 114424563, "size_in_bytes": 189550517 } }