References:
arxiv
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:scientific_papers/arxiv')
- Description:
Scientific papers datasets contains two sets of long and structured documents.
The datasets are obtained from ArXiv and PubMed OpenAccess repositories.
Both "arxiv" and "pubmed" have two features:
- article: the body of the document, pagragraphs seperated by "/n".
- abstract: the abstract of the document, pagragraphs seperated by "/n".
- section_names: titles of sections, seperated by "/n".
- License: No known license
- Version: 1.1.1
- Splits:
| Split | Examples |
|---|---|
'test' |
6440 |
'train' |
203037 |
'validation' |
6436 |
- Features:
{
"article": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"abstract": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"section_names": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
pubmed
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:scientific_papers/pubmed')
- Description:
Scientific papers datasets contains two sets of long and structured documents.
The datasets are obtained from ArXiv and PubMed OpenAccess repositories.
Both "arxiv" and "pubmed" have two features:
- article: the body of the document, pagragraphs seperated by "/n".
- abstract: the abstract of the document, pagragraphs seperated by "/n".
- section_names: titles of sections, seperated by "/n".
- License: No known license
- Version: 1.1.1
- Splits:
| Split | Examples |
|---|---|
'test' |
6658 |
'train' |
119924 |
'validation' |
6633 |
- Features:
{
"article": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"abstract": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"section_names": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}