{"url":"/dataset/allocine","name":"AlloCine","full_name":null,"description_markdown":"A new dataset for sentiment analysis, scraped from Allociné.fr user reviews. It contains 100k positive and 100k negative reviews divided into 3 balanced splits: train (160k reviews), val (20k) and test (20k). \r\n\r\nSource: [AlloCine](https://github.com/TheophileBlard/french-sentiment-analysis-with-bert)","description_withheld":null,"homepage":"https://github.com/TheophileBlard/french-sentiment-analysis-with-bert","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[],"variants":["AlloCine"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/tblard/allocine","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/FinScience/FS-distilroberta-fine-tuned","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/allocine","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/TheophileBlard/french-sentiment-analysis-with-bert","url":"https://github.com/TheophileBlard/french-sentiment-analysis-with-bert","frameworks":["tf"]}],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}