
This is the same dataset as [`dbpedia_14`](https://huggingface.co/datasets/dbpedia_14). The only differences are

1. Addition of a unique identifier, `uid`
   
1. Addition of the indices, that is 3 columns with the embeddings of 3 different sentence-transformers
   - `all-mpnet-base-v2`
   - `multi-qa-mpnet-base-dot-v1`
   - `all-MiniLM-L12-v2`

1. Renaming of the `label` column to `labels` for easier compatibility with the transformers library
task_categories:text-classification task_ids:topic-classification annotations_creators:machine-generated language_creators:crowdsourced multilinguality:monolingual size_categories:100K<n<1M source_datasets:original language:en license:cc-by-sa-3.0 region:us
{"annotations_creators": ["machine-generated"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-sa-3.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["topic-classification"], "paperswithcode_id": "dbpedia", "pretty_name": "DBpedia", "dataset_info": {"features": [{"name": "labels", "dtype": {"class_label": {"names": {"0": "Company", "1": "EducationalInstitution", "2": "Artist", "3": "Athlete", "4": "OfficeHolder", "5": "MeanOfTransportation", "6": "Building", "7": "NaturalPlace", "8": "Village", "9": "Animal", "10": "Plant", "11": "Album", "12": "Film", "13": "WrittenWork"}}}}, {"name": "title", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "uid", "dtype": "int64"}, {"name": "embedding_all-mpnet-base-v2", "sequence": "float32"}, {"name": "embedding_multi-qa-mpnet-base-dot-v1", "sequence": "float32"}, {"name": "embedding_all-MiniLM-L12-v2", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 4490428970, "num_examples": 560000}, {"name": "test", "num_bytes": 561310285, "num_examples": 70000}], "download_size": 0, "dataset_size": 5051739255}}
TAGS
#task_categories-text-classification #task_ids-topic-classification #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-sa-3.0 #region-us 


This is the same dataset as 'dbpedia_14'. The only differences are

1. Addition of a unique identifier, 'uid'
   
1. Addition of the indices, that is 3 columns with the embeddings of 3 different sentence-transformers
   - 'all-mpnet-base-v2'
   - 'multi-qa-mpnet-base-dot-v1'
   - 'all-MiniLM-L12-v2'

1. Renaming of the 'label' column to 'labels' for easier compatibility with the transformers library
TAGS
#task_categories-text-classification #task_ids-topic-classification #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-sa-3.0 #region-us 

passage: TAGS
#task_categories-text-classification #task_ids-topic-classification #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-sa-3.0 #region-us 
