README.md

---
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`](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