Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
topic-classification
Languages:
English
Size:
100K - 1M
License:
File size: 1,705 Bytes
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---
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 |