datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
filming-locations-of-the-world
Filming Locations of the World — 15,272 places, 12,762 productions
Where films, television series, video games, anime and manga were actually made: 15,272 real places across 161 countries, joined to the 12,762 productions recorded at them.
This is the dataset behind FilmMap, a free interactive map of every one of them.
🗺️ Interactive map: https://thefilmmap.com
📄 Dataset page and downloads: https://thefilmmap.com/data/
🐙 GitHub, including the GeoJSON:… See the full description on the dataset page: https://huggingface.co/datasets/Flightmussy/filming-locations-of-the-world.lower-film-fdb590
lower-film-fdb590
Synthetic products test data: 56 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/Prism-Eli/lower-film-fdb590.NetFlix-Imdb-Engagements-Filmsindian_actors_filmfilm_review_argumentationAnnotation
This is a dataset of Kinopoisk film reviews from top-250 and bottom-100 films (2004-2012). This dataset is based on the data found in blinoff/kinopoisk [Blinov et al., 2013].
1084 negative reviews, 1098 positive reviews and 1098 neutral reviews were selected from the initial dataset (based on grade3). Then, the amount of arguments in a given review praising the film (column for) and criticizing the film (column against) was manually written down.
Afterwards, the column arg_label… See the full description on the dataset page: https://huggingface.co/datasets/otipl2125/film_review_argumentation.Datathon-Film_Rec._Dataset