Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
10K<n<100K
License:
Host data file
#4
by
albertvillanova
HF staff
- opened
- README.md +43 -15
- data/linnaeus.zip +3 -0
- dataset_infos.json +0 -1
- linnaeus.py +3 -2
README.md
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language:
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- en
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license:
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multilinguality:
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- monolingual
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size_categories:
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## Dataset Description
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- **Homepage:** [linnaeus](http://linnaeus.sourceforge.net/)
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- **Repository:**
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- **Paper:** [BMC Bioinformatics](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-11-85)
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- **Leaderboard:**
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- **Point of Contact:**
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### Dataset Summary
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LINNAEUS
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### Supported Tasks and Leaderboards
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### Licensing Information
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[
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### Citation Information
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```bibtex
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@article{Gerner2010,
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year = {2010}
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}
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```
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language:
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- en
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license:
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- cc-by-4.0
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multilinguality:
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- monolingual
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size_categories:
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## Dataset Description
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- **Homepage:** [linnaeus](http://linnaeus.sourceforge.net/)
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- **Repository:** https://github.com/cambridgeltl/MTL-Bioinformatics-2016/tree/master/data/linnaeus-IOB
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- **Paper:** [BMC Bioinformatics](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-11-85)
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- **Leaderboard:**
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- **Point of Contact:**
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### Dataset Summary
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The LINNAEUS corpus consists of 100 full-text documents from the PMCOA
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document set which were randomly selected. All mentions of species terms were manually
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annotated and normalized to the NCBI taxonomy IDs of the intended species.
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The original LINNAEUS corpus is available in a TAB-separated standoff format. The resource does not define training,
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development or test subsets.
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We converted the corpus into BioNLP shared task standoff format using a custom script, split it into 50-, 17-, and 33-
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document training, development and test sets, and then converted these into the CoNLL format using standoff2conll.
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As a full-text corpus, LINNAEUS contains comparatively frequent
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non-ASCII characters, which were mapped to ASCII using the
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standoff2conll -a option.
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The conversion was highly accurate, but due to sentence-splitting errors within entity mentions,
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the number of annotations in the converted data was larger by four (100.09%) than that
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in the source data. 99.77% of names in the original annotation matched names in the converted
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data.
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### Supported Tasks and Leaderboards
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### Licensing Information
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This version of the dataset is licensed under [Creative Commons Attribution 4.0 International](https://github.com/cambridgeltl/MTL-Bioinformatics-2016/blob/master/LICENSE.md).
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### Citation Information
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```bibtex
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@article{crichton2017neural,
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title={A neural network multi-task learning approach to biomedical named entity recognition},
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author={Crichton, Gamal and Pyysalo, Sampo and Chiu, Billy and Korhonen, Anna},
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journal={BMC Bioinformatics},
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volume={18},
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number={1},
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pages={368},
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year={2017},
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publisher={BioMed Central}
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doi = {10.1186/s12859-017-1776-8},
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issn = {1471-2105},
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url = {https://doi.org/10.1186/s12859-017-1776-8},
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}
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@article{Gerner2010,
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author = {Gerner, Martin and Nenadic, Goran and Bergman, Casey M},
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doi = {10.1186/1471-2105-11-85},
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issn = {1471-2105},
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journal = {BMC Bioinformatics},
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number = {1},
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pages = {85},
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title = {{LINNAEUS: A species name identification system for biomedical literature}},
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url = {https://doi.org/10.1186/1471-2105-11-85},
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volume = {11},
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year = {2010}
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}
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```
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data/linnaeus.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:d3a232d89f02508c30c92e1ad011d953d2739ddaeb33de8ac370165ddbb3826f
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size 972920
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dataset_infos.json
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{"linnaeus": {"description": "A novel corpus of full-text documents manually annotated for species mentions.\n", "citation": "@article{gerner2010linnaeus,\n title={LINNAEUS: a species name identification system for biomedical literature},\n author={Gerner, Martin and Nenadic, Goran and Bergman, Casey M},\n journal={BMC bioinformatics},\n volume={11},\n number={1},\n pages={85},\n year={2010},\n publisher={Springer}\n}\n", "homepage": "http://linnaeus.sourceforge.net/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner_tags": {"feature": {"num_classes": 3, "names": ["O", "B", "I"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "linnaeus", "config_name": "linnaeus", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4772417, "num_examples": 11936, "dataset_name": "linnaeus"}, "validation": {"name": "validation", "num_bytes": 1592823, "num_examples": 4079, "dataset_name": "linnaeus"}, "test": {"name": "test", "num_bytes": 2802877, "num_examples": 7143, "dataset_name": "linnaeus"}}, "download_checksums": {"https://drive.google.com/u/0/uc?id=1OletxmPYNkz2ltOr9pyT0b0iBtUWxslh&export=download": {"num_bytes": 18204624, "checksum": "30522c752fd90e6da05f117a52da13174b246e4980e46840e6e1737dc67e1d27"}}, "download_size": 18204624, "post_processing_size": null, "dataset_size": 9168117, "size_in_bytes": 27372741}}
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linnaeus.py
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"""
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_HOMEPAGE = "http://linnaeus.sourceforge.net/"
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_BIOBERT_NER_DATASET_DIRECTORY = "linnaeus"
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_TRAINING_FILE = "train.tsv"
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_DEV_FILE = "devel.tsv"
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# tokens are tab separated
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splits = line.split("\t")
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tokens.append(splits[0])
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ner_tags.append(splits[1].
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# last example
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yield guid, {
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"id": str(guid),
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"""
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_HOMEPAGE = "http://linnaeus.sourceforge.net/"
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# Source data: https://github.com/cambridgeltl/MTL-Bioinformatics-2016/tree/master/data/linnaeus-IOB
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_URL = "data/linnaeus.zip"
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_BIOBERT_NER_DATASET_DIRECTORY = "linnaeus"
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_TRAINING_FILE = "train.tsv"
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_DEV_FILE = "devel.tsv"
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# tokens are tab separated
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splits = line.split("\t")
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tokens.append(splits[0])
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ner_tags.append(splits[1].split("-")[0])
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# last example
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yield guid, {
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"id": str(guid),
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