datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
imdb
Dataset Card for "imdb"
Dataset Summary
Large Movie Review Dataset.
This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well.
Supported Tasks and Leaderboards
More Information Needed
Languages
More Information Needed
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/imdb.dimdb
ImdbClassification
An MTEB dataset
Massive Text Embedding Benchmark
Large Movie Review Dataset
Task category
t2c
Domains
Reviews, Written
Reference
http://www.aclweb.org/anthology/P11-1015
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["ImdbClassification"])
evaluator = mteb.MTEB(task)
model = mteb.get_model(YOUR_MODEL)
evaluator.run(model)
To learn more… See the full description on the dataset page: https://huggingface.co/datasets/mteb/imdb.imdb-wikirl-lm-imdb-promptsimdb-posters-and-description-512imdb-movie-genres
Dataset Card for "imdb-movie-genres"
MDb (an acronym for Internet Movie Database) is an online database of information related to films, television programs, home videos, video games, and streaming content online – including cast, production crew and personal biographies, plot summaries, trivia, ratings, and fan and critical reviews. An additional fan feature, message boards, was abandoned in February 2017. Originally a fan-operated website, the database is now owned and operated by… See the full description on the dataset page: https://huggingface.co/datasets/adrienheymans/imdb-movie-genres.imdb-ciIMDB-PUBLIC-SCRAPED
Hello World with Hugging Face
Current Date: 2025-03-19 04:36:42.698271
So this one didn't quite finish scraping. I'll fix the software and rerun the scraping later.
It had some flaws with the multithreading where it would upload the same archives and overwrite the originals, which caused annoying problems and quirks.
I'll be working out the problems and getting the scraper working correctly at some point soon.
imdb_ptLarge Movie Review Dataset.
This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well.\imdb_faces_age_gender_name_256imdbimdb-genres
Dataset Card for IMDb Movie Dataset: All Movies by Genre
Dataset Summary
This dataset is an adapted version of "IMDb Movie Dataset: All Movies by Genre" found at: https://www.kaggle.com/datasets/rajugc/imdb-movies-dataset-based-on-genre?select=history.csv.
Within the dataset, the movie title and year columns were combined, the genre was extracted from the seperate csv files, the pre-existing genre column was renamed to expanded-genres, any movies missing a description… See the full description on the dataset page: https://huggingface.co/datasets/jquigl/imdb-genres.imdb_wiki_facesimdbIMDB-Reviews
Dataset Card for IMDb Multi-Movie Review Dataset
Dataset Summary
The IMDb Multi-Movie Review Dataset contains approximately 114,000 user reviews collected from over 150 movies on IMDb.Each movie is stored as a separate JSON file, identified by its movie_id (IMDb ID).Each JSON file includes a list of structured reviews, where every review consists of:
title: A short summary or headline of the review.
review: The full detailed user review.
rating: A numeric rating (1–10)… See the full description on the dataset page: https://huggingface.co/datasets/Daksh0505/IMDB-Reviews.imdb-tsv
imdb-tsv
Trimmed IMDb TSV snapshots, packaged for direct load into the graph schema
defined in schema.cypher (Kùzu-style CREATE NODE TABLE / CREATE REL TABLE).
Source
Downloaded on 2026-07-07 from the official IMDb dataset mirror:
https://datasets.imdbws.com/
The three source files used were:
name.basics.tsv.gz → name.basics.trimmed.csv.zst
title.basics.tsv.gz → title.basics.trimmed.csv.zst
title.principals.tsv.gz → title.principals.trimmed.csv.zst… See the full description on the dataset page: https://huggingface.co/datasets/ladybugdb/imdb-tsv.imdbThis is the sentiment analysis dataset based on IMDB reviews initially released by Stanford University.
This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets.
We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well.
Raw text and already processed bag of words formats are provided. See the README file contained in the release for more… See the full description on the dataset page: https://huggingface.co/datasets/scikit-learn/imdb.IMDb-Dataset
title.akas.csv
titleId (string) - a tconst, an alphanumeric unique identifier of the title
ordering (integer) – a number to uniquely identify rows for a given titleId
title (string) – the localized title
region (string) - the region for this version of the title
language (string) - the language of the title
types (array) - Enumerated set of attributes for this alternative title. One or more of the following: "alternative", "dvd", "festival", "tv", "video", "working", "original"… See the full description on the dataset page: https://huggingface.co/datasets/labofsahil/IMDb-Dataset.TMDB-IMDB-Movies-Datasetimdb-movie-reviews
IMDB Movie Reviews
This is a dataset for binary sentiment classification containing substantially huge data. This dataset contains a set of 50,000 highly polar movie reviews for training models for text classification tasks.
The dataset is downloaded from
https://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz
This data is processed and splitted into training and test datasets (0.2% test split). Training dataset contains 40000 reviews and test dataset contains 10000… See the full description on the dataset page: https://huggingface.co/datasets/ajaykarthick/imdb-movie-reviews.imdbcounterfactually-augmented-imdb@article{kaushik2020learning,
title={Learning the Difference that Makes a Difference with Counterfactually Augmented Data},
author={Kaushik, Divyansh and Hovy, Eduard and Lipton, Zachary C},
journal={International Conference on Learning Representations (ICLR)},
year={2020}
}
MM-IMDbIMDb_movie_reviews
Dataset Card for IMDb Movie Reviews
Dataset Summary
This is a custom train/test/validation split of the IMDb Large Movie Review Dataset available from http://ai.stanford.edu/~amaas/data/sentiment/.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
IMDb_movie_reviews
An example of 'train':
{
"text": "Beautifully photographed and ably acted, generally, but the… See the full description on the dataset page: https://huggingface.co/datasets/jahjinx/IMDb_movie_reviews.imdb_pt
Dataset Card for "imdb_pt"
More Information needed
imdb_urdu_reviews
Dataset Card for ImDB Urdu Reviews
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
sentence: The movie review which was translated into Urdu.
sentiment: The sentiment exhibited in the review, either positive or negative.
Data Splits
[More… See the full description on the dataset page: https://huggingface.co/datasets/mirfan899/imdb_urdu_reviews.IMDBIMDb-Media
Dataset Card for "BrightData/IMDb-Media"
Dataset Summary
Explore feature films, TV series, episodes, mini-series, documentaries, and more with this IMDb dataset, comprising over 249K structured records and 32 data fields updated and refreshed regularly.
Each entry includes all major data points such as timestamp, title, URLs, release date, IMDb rating, reviews, awards, origin, category/genre, budget, cast, director, images, videos and more.
For a complete list of data… See the full description on the dataset page: https://huggingface.co/datasets/BrightData/IMDb-Media.imdb
Dataset Card for "imdb"
More Information needed