Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
1K<n<10K
License:
annotations_creators: | |
- expert-generated | |
language_creators: | |
- expert-generated | |
language: | |
- en | |
license: | |
- unknown | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 1K<n<10K | |
source_datasets: | |
- original | |
task_categories: | |
- token-classification | |
task_ids: | |
- named-entity-recognition | |
pretty_name: species800 | |
dataset_info: | |
features: | |
- name: id | |
dtype: string | |
- name: tokens | |
sequence: string | |
- name: ner_tags | |
sequence: | |
class_label: | |
names: | |
'0': O | |
'1': B | |
'2': I | |
config_name: species_800 | |
splits: | |
- name: train | |
num_bytes: 2579096 | |
num_examples: 5734 | |
- name: validation | |
num_bytes: 385756 | |
num_examples: 831 | |
- name: test | |
num_bytes: 737760 | |
num_examples: 1631 | |
download_size: 18204624 | |
dataset_size: 3702612 | |
# Dataset Card for [Dataset Name] | |
## Table of Contents | |
- [Dataset Description](#dataset-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#data-instances) | |
- [Data Fields](#data-fields) | |
- [Data Splits](#data-splits) | |
- [Dataset Creation](#dataset-creation) | |
- [Curation Rationale](#curation-rationale) | |
- [Source Data](#source-data) | |
- [Annotations](#annotations) | |
- [Personal and Sensitive Information](#personal-and-sensitive-information) | |
- [Considerations for Using the Data](#considerations-for-using-the-data) | |
- [Social Impact of Dataset](#social-impact-of-dataset) | |
- [Discussion of Biases](#discussion-of-biases) | |
- [Other Known Limitations](#other-known-limitations) | |
- [Additional Information](#additional-information) | |
- [Dataset Curators](#dataset-curators) | |
- [Licensing Information](#licensing-information) | |
- [Citation Information](#citation-information) | |
- [Contributions](#contributions) | |
## Dataset Description | |
- **Homepage:** [SPECIES](https://species.jensenlab.org/) | |
- **Repository:** | |
- **Paper:** https://doi.org/10.1371/journal.pone.0065390 | |
- **Leaderboard:** | |
- **Point of Contact:** [Lars Juhl Jensen](mailto:[email protected]) | |
### Dataset Summary | |
S800 Corpus: a novel abstract-based manually annotated corpus. S800 comprises 800 PubMed abstracts in which organism mentions were identified and mapped to the corresponding NCBI Taxonomy identifiers. | |
To increase the corpus taxonomic mention diversity the S800 abstracts were collected by selecting 100 abstracts from the following 8 categories: bacteriology, botany, entomology, medicine, mycology, protistology, virology and zoology. S800 has been annotated with a focus at the species level; however, higher taxa mentions (such as genera, families and orders) have also been considered. | |
The Species-800 dataset was pre-processed and split based on the dataset of Pyysalo (https://github.com/spyysalo/s800). | |
### Supported Tasks and Leaderboards | |
[More Information Needed] | |
### Languages | |
English (`en`). | |
## Dataset Structure | |
### Data Instances | |
``` | |
{'id': '0', | |
'tokens': ['Methanoregula', | |
'formicica', | |
'sp', | |
'.', | |
'nov', | |
'.', | |
',', | |
'a', | |
'methane', | |
'-', | |
'producing', | |
'archaeon', | |
'isolated', | |
'from', | |
'methanogenic', | |
'sludge', | |
'.'], | |
'ner_tags': [1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]} | |
``` | |
### Data Fields | |
- `id`: Sentence identifier. | |
- `tokens`: Array of tokens composing a sentence. | |
- `ner_tags`: Array of tags, where `0` indicates no species mentioned, `1` signals the first token of a species and `2` the subsequent tokens of the species. | |
### Data Splits | |
[More Information Needed] | |
## Dataset Creation | |
### Curation Rationale | |
[More Information Needed] | |
### Source Data | |
#### Initial Data Collection and Normalization | |
[More Information Needed] | |
#### Who are the source language producers? | |
[More Information Needed] | |
### Annotations | |
#### Annotation process | |
[More Information Needed] | |
#### Who are the annotators? | |
[More Information Needed] | |
### Personal and Sensitive Information | |
[More Information Needed] | |
## Considerations for Using the Data | |
### Social Impact of Dataset | |
[More Information Needed] | |
### Discussion of Biases | |
[More Information Needed] | |
### Other Known Limitations | |
[More Information Needed] | |
## Additional Information | |
### Dataset Curators | |
[More Information Needed] | |
### Licensing Information | |
The species-level S800 corpus is subject to Medline restrictions. | |
### Citation Information | |
Original data: | |
``` | |
@article{pafilis2013species, | |
title={The SPECIES and ORGANISMS resources for fast and accurate identification of taxonomic names in text}, | |
author={Pafilis, Evangelos and Frankild, Sune P and Fanini, Lucia and Faulwetter, Sarah and Pavloudi, Christina and Vasileiadou, Aikaterini and Arvanitidis, Christos and Jensen, Lars Juhl}, | |
journal={PloS one}, | |
volume={8}, | |
number={6}, | |
pages={e65390}, | |
year={2013}, | |
publisher={Public Library of Science} | |
} | |
``` | |
Source data of this dataset: | |
``` | |
@article{10.1093/bioinformatics/btz682, | |
author = {Lee, Jinhyuk and Yoon, Wonjin and Kim, Sungdong and Kim, Donghyeon and Kim, Sunkyu and So, Chan Ho and Kang, Jaewoo}, | |
title = "{BioBERT: a pre-trained biomedical language representation model for biomedical text mining}", | |
journal = {Bioinformatics}, | |
volume = {36}, | |
number = {4}, | |
pages = {1234-1240}, | |
year = {2019}, | |
month = {09}, | |
issn = {1367-4803}, | |
doi = {10.1093/bioinformatics/btz682}, | |
url = {https://doi.org/10.1093/bioinformatics/btz682}, | |
eprint = {https://academic.oup.com/bioinformatics/article-pdf/36/4/1234/48983216/bioinformatics\_36\_4\_1234.pdf}, | |
} | |
``` | |
and | |
``` | |
https://github.com/spyysalo/s800 | |
``` | |
### Contributions | |
Thanks to [@edugp](https://github.com/edugp) for adding this dataset. |