["task_categories:text-classification", "task_categories:table-question-answering", "task_categories:fill-mask", "task_categories:sentence-similarity", "language:en", "license:mit", "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us", "movies", "embeddings", "sentiment", "vectors"]