The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets
library). If this is not possible, please
open a discussion
for direct help.
ArxivDIGESTables
The data set of tables released with ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models.
The tables in this dataset are arbitrary json objects, so they don't play nicely with huggingface's load_dataset
method. The recommended way to access the data is to download individual files from huggingface.co/datasets/blnewman/arxivDIGESTables.
For the high quality data, you should download papers.jsonl
, tables.jsonl
, and full_texts.jsonl.gz
.
If you want more tables that are less stringently filtered and do not have associated full texts, you can download papers_medium_quality.jsonl
and tables_medium_quality.jsonl
.
- The
papers*.jsonl
files include information about the papers cited in the tables including their S2 corpus ids, title, abstract and the ids of what tables they can be found in. These are mostly useful for analysis as almost all of the information is also included in thetables*.jsonl
files. - The
tables*.jsonl
files include:tabid
: an id for each tabletable
: the table itself, which is a nested json dictionaryrow_bib_map
: which maps each row of the table to the corpus id, title, and abstract for the paper cited in that row.caption
: the table's captionin_text_ref
: a list of paragraphs where the table is refered to in the main textarxiv_id
: the arxiv id of the paper that table comes from
full_text.jsonl.gz
contains the full texts for the papers inpapers.jsonl
.
If you want to preview the tables, you can use huggingface dataset's loader. In this case, the tables are stored as json strings and need to be parsed:
import json
from datasets import load_dataset
# high quality
tables = load_dataset("blnewman/arxivDIGESTables")
# load the table from json string. Not necessary if you download `tables.jsonl` directly.
print(json.loads(tables["validation"]["table"][0]))
# medium quality
arxivdigestables_medium = load_dataset("blnewman/arxivDIGESTables", "medium_quality")
See the github repo for more details.
Citation
@article{newman2024arxivdigestables,
title={ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models},
author={Benjamin Newman and Yoonjoo Lee and Aakanksha Naik and Pao Siangliulue and Raymond Fok and Juho Kim and Daniel S. Weld and Joseph Chee Chang and Kyle Lo},
year={2024},
journal={arXiv preprint},
url={https://arxiv.org/abs/2410.22360},
}
- Downloads last month
- 72