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Datasets:
Madjakul
/
HALvest-Geometric

Tasks:
Text Generation
Fill-Mask
Modalities:
Text
Formats:
json
Sub-tasks:
language-modeling
masked-language-modeling
Languages:
English
French
Size:
100K - 1M
ArXiv:
Tags:
academia
research
graph
Libraries:
Datasets
Dask
License:
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metadata
pretty_name: HALvest
configs:
  - config_name: bg
    data_files: bg/*.gz
  - config_name: br
    data_files: br/*.gz
  - config_name: ca
    data_files: ca/*.gz
  - config_name: cs
    data_files: cs/*.gz
  - config_name: da
    data_files: da/*.gz
  - config_name: de
    data_files: de/*.gz
  - config_name: el
    data_files: el/*.gz
  - config_name: en
    data_files: en/*.gz
  - config_name: eo
    data_files: eo/*.gz
  - config_name: es
    data_files: es/*.gz
  - config_name: et
    data_files: et/*.gz
  - config_name: eu
    data_files: eu/*.gz
  - config_name: fa
    data_files: fa/*.gz
  - config_name: fi
    data_files: fi/*.gz
  - config_name: fr
    data_files: fr/*.gz
  - config_name: gl
    data_files: gl/*.gz
  - config_name: he
    data_files: he/*.gz
  - config_name: hr
    data_files: hr/*.gz
  - config_name: hu
    data_files: hu/*.gz
  - config_name: hy
    data_files: hy/*.gz
  - config_name: id
    data_files: id/*.gz
  - config_name: it
    data_files: it/*.gz
  - config_name: ko
    data_files: ko/*.gz
  - config_name: 'no'
    data_files: no/*.gz
  - config_name: pl
    data_files: pl/*.gz
  - config_name: pt
    data_files: pt/*.gz
  - config_name: ro
    data_files: ro/*.gz
  - config_name: ru
    data_files: ru/*.gz
  - config_name: sk
    data_files: sk/*.gz
  - config_name: sl
    data_files: sl/*.gz
  - config_name: sv
    data_files: sv/*.gz
  - config_name: sw
    data_files: sw/*.gz
  - config_name: th
    data_files: th/*.gz
  - config_name: tr
    data_files: tr/*.gz
language:
  - bg
  - br
  - ca
  - cs
  - da
  - de
  - el
  - en
  - eo
  - es
  - et
  - eu
  - fa
  - fi
  - fr
  - gl
  - he
  - hr
  - hu
  - hy
  - id
  - it
  - ko
  - 'no'
  - pl
  - pt
  - ro
  - ru
  - sk
  - sl
  - sv
  - sw
  - th
  - tr
size_categories:
  - n<1K
  - 1K<n<10K
  - 10K<n<100K
  - 100K<n<1M
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
  - masked-language-modeling
tags:
  - academia
  - research
annotations_creators:
  - no-annotation
multilinguality:
  - multilingual
source_datasets:
  - HALvest-R

HALvest

Open Scientific Papers Harvested from HAL

Dataset Description

Dataset Summary

overview:

This dataset is comprised of fulltext from open papers found on Hyper Articles en Ligne (HAL). Our dump is mostly english/french but gather papers written in 34 languages across 13 domains.

You can download the dataset using Hugging Face datasets:

from datasets import load_dataset

ds = load_dataset("Madjakul/HALvest", "en")

Details

Building the dataset is a four steps process: data fetching from HAL, data merging, data enriching and data filtering.

  1. We first request HAL's API in order to gather open research papers and parse it -- effectively sorting papers by language. Then, we download the PDFs of the fetched data.
  2. Using GROBID, we convert each PDF to an xml-tei format in order to have structured data. We convert each xml-tei file to a txt format before concatenating it with the paper's.
  3. We compute some statistics about each document.
  4. We filter the data based of off simple ratios to expurge badly encoded documents.

Languages

ISO-639 Language # Documents # mT5 Tokens
en English 442,892 7,606,895,258
fr French 193,437 8,728,722,255
es Spanish 2,930 68,076,878
it Italian 1,172 48,747,986
pt Portuguese 934 32,918,832
de German 646 11,699,417
ru Russian 245 5,763,532
eu Basque 112 2,297,460
pl Polish 43 987,878
el Greek 42 1,680,696
ro Romanian 39 1,298,901
ca Catalan 28 975,078
da Danish 26 961,895
br Breton 24 998,088
ko Korean 17 226,268
tr Turkish 17 149,718
hu Hungarian 14 577,568
eo Esperanto 14 105,286
fa Persian 10 190,929
hy Armenian 10 127,988
cs Czech 9 712,263
bg Bulgarian 8 180,146
id Indonesian 9 53,075
he Hebrew 8 61,283
hr Croatian 8 40,621
et Estonian 7 20,405
sv Swedish 6 270,642
no Norwegian 6 62,767
fi Finnish 3 17,583
sw Swahili 2 73,921
gl Galician 2 29,688
th Thai 1 70,909
sl Slovenian 1 22,844
sk Slovak 1 12,997

Domains

Domain Code # Documents # mT5 Tokens
Humanities and Social Sciences shs 152,818 5,487,738,344
Computer Science info 143,229 2,436,890,715
Life Sciences sdv 111,038 3,008,633,879
Engineering Sciences spi 99,393 2,155,602,249
Physics phys 63,557 1,435,905,328
Mathematics math 54,393 1,359,277,656
Chemical Science chim 38,500 857,617,219
Environmental Science sde 30,827 566,560,266
Sciences of the Universe sdu 22,917 654,909,131
Statistics stat 20,571 1,449,842,318
Cognitive science scco 11,584 222,832,732
Quantitative Finance qfin 3,290 64,970,285
Nonlinear Sciences nlin 1,908 29,296,684

You can browse through every domains and sub-domains here: https://hal.science/browse/domain.

Considerations for Using the Data

The corpus is extracted from the HAL's open archive which distributes scientific publications following open access principles. The corpus is made up of both creative commons licensed and copyrighted documents (distribution authorized on HAL by the publisher). This must be considered prior to using this dataset for any purpose, other than training deep learning models, data mining etc. We do not own any of the text from which these data has been extracted.

Citation 

@software{almanach_halvest_2024,
  author = {Kulumba, Francis and Antoun, Wissam and Vimont, Guillaume and Romary, Laurent},
  title = {HALvest: Open Scientific Papers Harvested from HAL.},
  month = April,
  year = 2024,
  company = Almanach,
  url = {https://github.com/Madjakul/HALvesting}
}

Dataset Copyright

The licence terms for HALvest strictly follows the one from HAL. Please refer to the below license when using this dataset.