text: the most popular Brazilian singer since the end of the 60\'s and is called by his fans as "The King". I will keep this movie in my collection only because of these attractions (manly Dorothy Stratten). My vote is four.<br /><br />Title (Brazil): "Muito Riso e Muita Alegria" ("Many Laughs and Lots of Happiness")', metadata={'label': 0})]Exampleâ€‹In this example, we use data from a dataset to answer a questionfrom langchain.indexes import VectorstoreIndexCreatorfrom langchain.document_loaders.hugging_face_dataset import HuggingFaceDatasetLoaderdataset_name = "tweet_eval"page_content_column = "text"name = "stance_climate"loader = HuggingFaceDatasetLoader(dataset_name, page_content_column, name)index = VectorstoreIndexCreator().from_loaders([loader])    Found cached dataset tweet_eval      0%|          | 0/3 [00:00<?, ?it/s]    Using embedded DuckDB without persistence: data will be transientquery = "What are the most used hashtag?"result = index.query(query)result    ' The most used hashtags in this context are #UKClimate2015, #Sustainability, #TakeDownTheFlag, #LoveWins, #CSOTA, #ClimateSummitoftheAmericas, #SM, and #SocialMedia.'PreviousHacker NewsNextiFixitExampleCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright Â© 2023 LangChain, Inc.