pubmed-20k-rct / README.md
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---
task_categories:
- text-classification
language:
- en
dataset_info:
features:
- name: abstract_id
dtype: string
- name: labels
dtype:
class_label:
names:
'0': background
'1': conclusions
'2': methods
'3': objective
'4': results
- name: text
dtype: string
- name: sentence_id
dtype: int64
- 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: 1392522399
num_examples: 176642
- name: validation
num_bytes: 233905609
num_examples: 29672
- name: test
num_bytes: 233146005
num_examples: 29578
download_size: 0
dataset_size: 1859574013
---
This is the same dataset as [`armanc/pubmed-rct20k`](https://huggingface.co/datasets/armanc/pubmed-rct20k).
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