The community member is running a pipeline that includes a text splitter and an entity extractor. When running the pipeline, they are encountering an error: "too many values to unpack (expected 2)". The community members suspect the issue may be related to the EntityExtractor or the nltk library, and suggest trying to update the library.
from llama_index.core.ingestion import IngestionPipeline from llama_index.core.node_parser import TokenTextSplitter from elasticsearch import Elasticsearch, NotFoundError from llama_index.extractors.entity import EntityExtractor
def run_pipeline(self, docs): try: text_splitter = TokenTextSplitter( separator=" ", chunk_size=512, chunk_overlap=128 ) entity_extractor = EntityExtractor(prediction_threshold=0.5, label_entities=False, # include the entity label in the metadata (can be erroneous) device="cpu", # set to "cuda" if you have a GPU ) pipeline = IngestionPipeline( transformations=[text_splitter, entity_extractor] ) return pipeline.run( documents=docs, in_place=True, show_progress=True, ) except Exception as e: logging.error(f"Error running pipeline: {e}") return None when i run this pipeline, I get this error - ERROR:root:Error running pipeline: too many values to unpack (expected 2). when the code goes to extracting entities part, i get this error.
