Datasets:
metadata
task_categories:
- text-classification
language:
- en
dataset_info:
features:
- name: abstract_id
dtype: string
- name: labels
dtype: string
- name: text
dtype: string
- name: sentence_id
dtype: int64
splits:
- name: train
num_bytes: 33100479
num_examples: 176642
- name: validation
num_bytes: 5552080
num_examples: 29672
- name: test
num_bytes: 5516320
num_examples: 29578
download_size: 20080324
dataset_size: 44168879
This is the same dataset as armanc/pubmed-rct20k
.
The only differences are
Addition of a unique identifier,
uid
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
Renaming of the
label
column tolabels
for easier compatibility with the transformers library