README.md

metadata

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

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

1. Addition of a unique identifier, uid

2. 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

3. Renaming of the label column to labels for easier compatibility with the transformers library