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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b810f993848f15b9d0832de334da2a75ace592c0 |
# Dataset Card for JNLPBA
## Dataset Description
- **Homepage:** http://www.geniaproject.org/shared-tasks/bionlp-jnlpba-shared-task-2004
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER
NER For Bio-Entities
## Citation Information
```
@inproceedings{collier-kim-2004-introduction,
title = "Introduction t... | bigbio/jnlpba | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-3.0",
"region:us"
] | 2022-11-13T22:09:04+00:00 | {"language": ["en"], "license": "cc-by-3.0", "multilinguality": "monolingual", "pretty_name": "JNLPBA", "bigbio_language": ["English"], "bigbio_license_shortname": "CC_BY_3p0", "homepage": "http://www.geniaproject.org/shared-tasks/bionlp-jnlpba-shared-task-2004", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_ta... | 2022-12-22T15:44:48+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-cc-by-3.0 #region-us
|
# Dataset Card for JNLPBA
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER
NER For Bio-Entities
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296f506a445246476178df0d6e749a04cb29aafd |
# Dataset Card for LINNAEUS
## Dataset Description
- **Homepage:** http://linnaeus.sourceforge.net/
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,NED
Linnaeus is a novel corpus of full-text documents manually annotated for species mentions.
## Citation Information
```
@Article{gerner2010linnaeus,
tit... | bigbio/linnaeus | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-11-13T22:09:07+00:00 | {"language": ["en"], "license": "cc-by-4.0", "multilinguality": "monolingual", "pretty_name": "LINNAEUS", "bigbio_language": ["English"], "bigbio_license_shortname": "CC_BY_4p0", "homepage": "http://linnaeus.sourceforge.net/", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_RECOGNITION", "N... | 2022-12-22T15:44:50+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for LINNAEUS
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER,NED
Linnaeus is a novel corpus of full-text documents manually annotated for species mentions.
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cbcbb30006c80d35bcb380bc9f4b79b36c5123e1 |
# Dataset Card for LLL05
## Dataset Description
- **Homepage:** http://genome.jouy.inra.fr/texte/LLLchallenge
- **Pubmed:** True
- **Public:** True
- **Tasks:** RE
The LLL05 challenge task is to learn rules to extract protein/gene interactions from biology abstracts from the Medline
bibliography database. The goa... | bigbio/lll | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | 2022-11-13T22:09:11+00:00 | {"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "LLL05", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "http://genome.jouy.inra.fr/texte/LLLchallenge", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["RELATION_EXTRACTION"]} | 2022-12-22T15:44:52+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-unknown #region-us
|
# Dataset Card for LLL05
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: RE
The LLL05 challenge task is to learn rules to extract protein/gene interactions from biology abstracts from the Medline
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b66cce4f3ba806347564e325cde767eca1238ef9 |
# Dataset Card for MayoSRS
## Dataset Description
- **Homepage:** https://conservancy.umn.edu/handle/11299/196265
- **Pubmed:** False
- **Public:** True
- **Tasks:** STS
MayoSRS consists of 101 clinical term pairs whose relatedness was determined by nine medical coders and three physicians from the Mayo Clinic.
... | bigbio/mayosrs | [
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"license:cc0-1.0",
"region:us"
] | 2022-11-13T22:09:14+00:00 | {"language": ["en"], "license": "cc0-1.0", "multilinguality": "monolingual", "pretty_name": "MayoSRS", "bigbio_language": ["English"], "bigbio_license_shortname": "CC0_1p0", "homepage": "https://conservancy.umn.edu/handle/11299/196265", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["SEMANTIC_SIMILARIT... | 2022-12-22T15:44:58+00:00 | [] | [
"en"
] | TAGS
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|
# Dataset Card for MayoSRS
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: STS
MayoSRS consists of 101 clinical term pairs whose relatedness was determined by nine medical coders and three physicians from the Mayo Clinic.
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9212ff85ce1e6de4cf7418a8fabd21a9350b96f2 |
# Dataset Card for MedQA
## Dataset Description
- **Homepage:** https://github.com/jind11/MedQA
- **Pubmed:** False
- **Public:** True
- **Tasks:** QA
In this work, we present the first free-form multiple-choice OpenQA dataset for solving medical problems, MedQA,
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# Dataset Card for MedQA
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: QA
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652a8b920d5a174dfcdaeb7b655b133d11e21ab1 |
# Dataset Card for MeDAL
## Dataset Description
- **Homepage:** https://github.com/BruceWen120/medal
- **Pubmed:** True
- **Public:** True
- **Tasks:** NED
The Repository for Medical Dataset for Abbreviation Disambiguation for Natural Language Understanding (MeDAL) is
a large medical text dataset curated for abbr... | bigbio/medal | [
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] | 2022-11-13T22:09:21+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "MeDAL", "bigbio_language": ["English"], "bigbio_license_shortname": "NLM_LICENSE", "homepage": "https://github.com/BruceWen120/medal", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_DISAMBIGUATION"]} | 2022-12-22T15:45:07+00:00 | [] | [
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# Dataset Card for MeDAL
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NED
The Repository for Medical Dataset for Abbreviation Disambiguation for Natural Language Understanding (MeDAL) is
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347303ce0b17954d20f03f0c48a87069c9496590 |
# Dataset Card for MedDialog
## Dataset Description
- **Homepage:** https://github.com/UCSD-AI4H/Medical-Dialogue-System
- **Pubmed:** False
- **Public:** True
- **Tasks:** TXTCLASS
The MedDialog dataset (English) contains conversations (in English) between doctors and patients.It has 0.26 million dialogues. The... | bigbio/meddialog | [
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# Dataset Card for MedDialog
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: TXTCLASS
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4453f85758c27614e375ce875ea8342209cb7158 |
# Dataset Card for MEDDOCAN
## Dataset Description
- **Homepage:** https://temu.bsc.es/meddocan/
- **Pubmed:** False
- **Public:** True
- **Tasks:** NER
MEDDOCAN: Medical Document Anonymization Track
This dataset is designed for the MEDDOCAN task, sponsored by Plan de Impulso de las Tecnologías del Lenguaje.
It... | bigbio/meddocan | [
"multilinguality:monolingual",
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"region:us"
] | 2022-11-13T22:09:29+00:00 | {"language": ["es"], "license": "cc-by-4.0", "multilinguality": "monolingual", "pretty_name": "MEDDOCAN", "bigbio_language": ["Spanish"], "bigbio_license_shortname": "CC_BY_4p0", "homepage": "https://temu.bsc.es/meddocan/", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_RECOGNITION"]} | 2022-12-22T15:45:24+00:00 | [] | [
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# Dataset Card for MEDDOCAN
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: NER
MEDDOCAN: Medical Document Anonymization Track
This dataset is designed for the MEDDOCAN task, sponsored by Plan de Impulso de las Tecnologías del Lenguaje.
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28e21e038985970beaf045341cfc17abe762081c |
# Dataset Card for MedHop
## Dataset Description
- **Homepage:** http://qangaroo.cs.ucl.ac.uk/
- **Pubmed:** True
- **Public:** True
- **Tasks:** QA
With the same format as WikiHop, this dataset is based on research paper
abstracts from PubMed, and the queries are about interactions between
pairs of drugs. The co... | bigbio/medhop | [
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# Dataset Card for MedHop
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: QA
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# Dataset Card for Medical Data
## Dataset Description
- **Homepage:**
- **Pubmed:** False
- **Public:** False
- **Tasks:** TE
This dataset is designed to do multiclass classification on medical drugs
## Citation Information
```
@misc{ask9medicaldata,
author = {Khan, Arbaaz},
title = {Sentimen... | bigbio/medical_data | [
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"license:unknown",
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] | 2022-11-13T22:09:35+00:00 | {"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "Medical Data", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "bigbio_pubmed": false, "bigbio_public": false, "bigbio_tasks": ["TEXTUAL_ENTAILMENT"]} | 2022-12-22T15:45:28+00:00 | [] | [
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|
# Dataset Card for Medical Data
## Dataset Description
- Homepage:
- Pubmed: False
- Public: False
- Tasks: TE
This dataset is designed to do multiclass classification on medical drugs
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5a442c8e2f1a5ef0979930c16944d0cfa89b05f9 |
# Dataset Card for MEDIQA NLI
## Dataset Description
- **Homepage:** https://physionet.org/content/mednli-bionlp19/1.0.1/
- **Pubmed:** False
- **Public:** False
- **Tasks:** TE
Natural Language Inference (NLI) is the task of determining whether a given hypothesis can be
inferred from a given premise. Also known ... | bigbio/mediqa_nli | [
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] | 2022-11-13T22:09:39+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "MEDIQA NLI", "bigbio_language": ["English"], "bigbio_license_shortname": "PHYSIONET_LICENSE_1p5", "homepage": "https://physionet.org/content/mednli-bionlp19/1.0.1/", "bigbio_pubmed": false, "bigbio_public": false, "bigbio_tasks":... | 2022-12-22T15:45:31+00:00 | [] | [
"en"
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|
# Dataset Card for MEDIQA NLI
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: TE
Natural Language Inference (NLI) is the task of determining whether a given hypothesis can be
inferred from a given premise. Also known as Recognizing Textual Entailment (RTE), this task has
enjoyed po... | [
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9288641f4c785c95dc9079fa526dabb12efdb041 |
# Dataset Card for MEDIQA QA
## Dataset Description
- **Homepage:** https://sites.google.com/view/mediqa2019
- **Pubmed:** False
- **Public:** True
- **Tasks:** QA
The MEDIQA challenge is an ACL-BioNLP 2019 shared task aiming to attract further research efforts in Natural Language Inference (NLI), Recognizing Que... | bigbio/mediqa_qa | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | 2022-11-13T22:09:42+00:00 | {"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "MEDIQA QA", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "https://sites.google.com/view/mediqa2019", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["QUESTION_ANSWERING"]} | 2022-12-22T15:45:32+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-unknown #region-us
|
# Dataset Card for MEDIQA QA
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: QA
The MEDIQA challenge is an ACL-BioNLP 2019 shared task aiming to attract further research efforts in Natural Language Inference (NLI), Recognizing Question Entailment (RQE), and their applications in med... | [
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ba98e32191fc7e85a9ce6b88c691acf5cca32ad1 |
# Dataset Card for MEDIQA RQE
## Dataset Description
- **Homepage:** https://sites.google.com/view/mediqa2019
- **Pubmed:** False
- **Public:** True
- **Tasks:** TXT2CLASS
The MEDIQA challenge is an ACL-BioNLP 2019 shared task aiming to attract further research efforts in Natural Language Inference (NLI), Recogni... | bigbio/mediqa_rqe | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | 2022-11-13T22:09:46+00:00 | {"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "MEDIQA RQE", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "https://sites.google.com/view/mediqa2019", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["TEXT_PAIRS_CLASSIFICAT... | 2022-12-22T15:45:33+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-unknown #region-us
|
# Dataset Card for MEDIQA RQE
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: TXT2CLASS
The MEDIQA challenge is an ACL-BioNLP 2019 shared task aiming to attract further research efforts in Natural Language Inference (NLI), Recognizing Question Entailment (RQE), and their application... | [
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c8de447c7fb7241ef37538644107a6a5e1d95e43 |
# Dataset Card for MedMentions
## Dataset Description
- **Homepage:** https://github.com/chanzuckerberg/MedMentions
- **Pubmed:** True
- **Public:** True
- **Tasks:** NED,NER
MedMentions is a new manually annotated resource for the recognition of biomedical concepts.
What distinguishes MedMentions from other anno... | bigbio/medmentions | [
"multilinguality:monolingual",
"language:en",
"license:cc0-1.0",
"arxiv:1902.09476",
"region:us"
] | 2022-11-13T22:09:49+00:00 | {"language": ["en"], "license": "cc0-1.0", "multilinguality": "monolingual", "pretty_name": "MedMentions", "bigbio_language": ["English"], "bigbio_license_shortname": "CC0_1p0", "homepage": "https://github.com/chanzuckerberg/MedMentions", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_DISA... | 2022-12-22T15:45:34+00:00 | [
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] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-cc0-1.0 #arxiv-1902.09476 #region-us
|
# Dataset Card for MedMentions
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NED,NER
MedMentions is a new manually annotated resource for the recognition of biomedical concepts.
What distinguishes MedMentions from other annotated biomedical corpora is its size (over 4,000
abstracts... | [
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fe726c698a3fed11a9871dab00de553682808bd9 |
# Dataset Card for MeQSum
## Dataset Description
- **Homepage:** https://github.com/abachaa/MeQSum
- **Pubmed:** False
- **Public:** True
- **Tasks:** SUM
Dataset for medical question summarization introduced in the ACL 2019 paper "On the Summarization of Consumer Health
Questions". Question understanding is one ... | bigbio/meqsum | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | 2022-11-13T22:09:53+00:00 | {"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "MeQSum", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "https://github.com/abachaa/MeQSum", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["SUMMARIZATION"]} | 2022-12-22T15:45:35+00:00 | [] | [
"en"
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#multilinguality-monolingual #language-English #license-unknown #region-us
|
# Dataset Card for MeQSum
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: SUM
Dataset for medical question summarization introduced in the ACL 2019 paper "On the Summarization of Consumer Health
Questions". Question understanding is one of the main challenges in question answering. ... | [
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887f91a8ff419e4e95b7d7ec027d25a53b72a8db |
# Dataset Card for MiniMayoSRS
## Dataset Description
- **Homepage:** https://conservancy.umn.edu/handle/11299/196265
- **Pubmed:** False
- **Public:** True
- **Tasks:** STS
MiniMayoSRS is a subset of the MayoSRS and consists of 30 term pairs on which a higher inter-annotator agreement was
achieved. The average c... | bigbio/minimayosrs | [
"multilinguality:monolingual",
"language:en",
"license:cc0-1.0",
"region:us"
] | 2022-11-13T22:09:56+00:00 | {"language": ["en"], "license": "cc0-1.0", "multilinguality": "monolingual", "pretty_name": "MiniMayoSRS", "bigbio_language": ["English"], "bigbio_license_shortname": "CC0_1p0", "homepage": "https://conservancy.umn.edu/handle/11299/196265", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["SEMANTIC_SIMIL... | 2022-12-22T15:45:36+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-cc0-1.0 #region-us
|
# Dataset Card for MiniMayoSRS
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: STS
MiniMayoSRS is a subset of the MayoSRS and consists of 30 term pairs on which a higher inter-annotator agreement was
achieved. The average correlation between physicians is 0.68. The average correlati... | [
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c4d7318c6392e85e034f40fd2f5aa37832509446 |
# Dataset Card for miRNA
## Dataset Description
- **Homepage:** https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads/download-mirna-test-corpus.html
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,NED
The corpus consists of 301 Medline citations. The documents were screened fo... | bigbio/mirna | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-nc-3.0",
"region:us"
] | 2022-11-13T22:10:00+00:00 | {"language": ["en"], "license": "cc-by-nc-3.0", "multilinguality": "monolingual", "pretty_name": "miRNA", "bigbio_language": ["English"], "bigbio_license_shortname": "CC_BY_NC_3p0", "homepage": "https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads/download-mirna-test-corpus.html", "bigbio_... | 2022-12-22T15:45:38+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-cc-by-nc-3.0 #region-us
|
# Dataset Card for miRNA
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER,NED
The corpus consists of 301 Medline citations. The documents were screened for
mentions of miRNA in the abstract text. Gene, disease and miRNA entities were manually
annotated. The corpus comprises of two... | [
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e83ef1dba6092f84581c3d6a57b72bcec86811ac |
# Dataset Card for MLEE
## Dataset Description
- **Homepage:** http://www.nactem.ac.uk/MLEE/
- **Pubmed:** True
- **Public:** True
- **Tasks:** EE,NER,RE,COREF
MLEE is an event extraction corpus consisting of manually annotated abstracts of papers
on angiogenesis. It contains annotations for entities, relations, ... | bigbio/mlee | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-nc-sa-3.0",
"region:us"
] | 2022-11-13T22:10:03+00:00 | {"language": ["en"], "license": "cc-by-nc-sa-3.0", "multilinguality": "monolingual", "pretty_name": "MLEE", "bigbio_language": ["English"], "bigbio_license_shortname": "CC_BY_NC_SA_3p0", "homepage": "http://www.nactem.ac.uk/MLEE/", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["EVENT_EXTRACTION", "NAME... | 2022-12-22T15:45:39+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-cc-by-nc-sa-3.0 #region-us
|
# Dataset Card for MLEE
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: EE,NER,RE,COREF
MLEE is an event extraction corpus consisting of manually annotated abstracts of papers
on angiogenesis. It contains annotations for entities, relations, events and coreferences
The annotations sp... | [
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408873bbb53acf9c97a578dc7e8faabed48f4ca2 |
# Dataset Card for MQP
## Dataset Description
- **Homepage:** https://github.com/curai/medical-question-pair-dataset
- **Pubmed:** False
- **Public:** True
- **Tasks:** STS
Medical Question Pairs dataset by McCreery et al (2020) contains pairs of medical questions and paraphrased versions of
the question prepare... | bigbio/mqp | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | 2022-11-13T22:10:07+00:00 | {"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "MQP", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "https://github.com/curai/medical-question-pair-dataset", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["SEMANTIC_SIMILA... | 2022-12-22T15:45:40+00:00 | [] | [
"en"
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|
# Dataset Card for MQP
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: STS
Medical Question Pairs dataset by McCreery et al (2020) contains pairs of medical questions and paraphrased versions of
the question prepared by medical professional. Paraphrased versions were labelled as si... | [
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b88df31cef04a90eae9e512d1de2b58104659252 |
# Dataset Card for MSH WSD
## Dataset Description
- **Homepage:** https://lhncbc.nlm.nih.gov/ii/areas/WSD/collaboration.html
- **Pubmed:** True
- **Public:** False
- **Tasks:** NED
Evaluation of Word Sense Disambiguation methods (WSD) in the biomedical domain is difficult because the available
resources are eithe... | bigbio/msh_wsd | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-11-13T22:10:11+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "MSH WSD", "bigbio_language": ["English"], "bigbio_license_shortname": "UMLS_LICENSE", "homepage": "https://lhncbc.nlm.nih.gov/ii/areas/WSD/collaboration.html", "bigbio_pubmed": true, "bigbio_public": false, "bigbio_tasks": ["NAME... | 2022-12-22T15:45:41+00:00 | [] | [
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] | TAGS
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|
# Dataset Card for MSH WSD
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: False
- Tasks: NED
Evaluation of Word Sense Disambiguation methods (WSD) in the biomedical domain is difficult because the available
resources are either too small or too focused on specific types of entities (e.g. diseases... | [
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a2320cc61201b439153f2c3c7ae42ee09db79c19 |
# Dataset Card for MuchMore
## Dataset Description
- **Homepage:** https://muchmore.dfki.de/resources1.htm
- **Pubmed:** True
- **Public:** True
- **Tasks:** TRANSL,NER,NED,RE
The corpus used in the MuchMore project is a parallel corpus of English-German scientific
medical abstracts obtained from the Springer Lin... | bigbio/muchmore | [
"multilinguality:multilingual",
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"license:unknown",
"region:us"
] | 2022-11-13T22:10:14+00:00 | {"language": ["en", "de"], "license": "unknown", "multilinguality": "multilingual", "pretty_name": "MuchMore", "bigbio_language": ["English", "German"], "bigbio_license_shortname": "UNKNOWN", "homepage": "https://muchmore.dfki.de/resources1.htm", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["TRANSLATI... | 2022-12-22T15:45:43+00:00 | [] | [
"en",
"de"
] | TAGS
#multilinguality-multilingual #language-English #language-German #license-unknown #region-us
|
# Dataset Card for MuchMore
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: TRANSL,NER,NED,RE
The corpus used in the MuchMore project is a parallel corpus of English-German scientific
medical abstracts obtained from the Springer Link web site. The corpus consists
approximately of 1 m... | [
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8af2dfea3dcd03e255ca90baa621ef188cd6ecb8 |
# Dataset Card for Multi-XScience
## Dataset Description
- **Homepage:** https://github.com/yaolu/Multi-XScience
- **Pubmed:** False
- **Public:** True
- **Tasks:** PARA,SUM
Multi-document summarization is a challenging task for which there exists little large-scale datasets.
We propose Multi-XScience, a large-s... | bigbio/multi_xscience | [
"multilinguality:monolingual",
"language:en",
"license:mit",
"arxiv:2010.14235",
"region:us"
] | 2022-11-13T22:10:18+00:00 | {"language": ["en"], "license": "mit", "multilinguality": "monolingual", "pretty_name": "Multi-XScience", "bigbio_language": ["English"], "bigbio_license_shortname": "MIT", "homepage": "https://github.com/yaolu/Multi-XScience", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["PARAPHRASING", "SUMMARIZATI... | 2022-12-22T15:45:44+00:00 | [
"2010.14235"
] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-mit #arxiv-2010.14235 #region-us
|
# Dataset Card for Multi-XScience
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: PARA,SUM
Multi-document summarization is a challenging task for which there exists little large-scale datasets.
We propose Multi-XScience, a large-scale multi-document summarization dataset created fr... | [
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4232a5821581785e9ee71763a31d7018c2c8c8e4 |
# Dataset Card for n2c2 2006 De-identification
## Dataset Description
- **Homepage:** https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/
- **Pubmed:** False
- **Public:** False
- **Tasks:** NER
The data for the de-identification challenge came from Partners Healthcare and
included solely medical discharge sum... | bigbio/n2c2_2006_deid | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-11-13T22:10:21+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "n2c2 2006 De-identification", "bigbio_language": ["English"], "bigbio_license_shortname": "DUA", "homepage": "https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/", "bigbio_pubmed": false, "bigbio_public": false, "bigbio_tasks"... | 2022-12-22T15:45:45+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for n2c2 2006 De-identification
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: NER
The data for the de-identification challenge came from Partners Healthcare and
included solely medical discharge summaries. We prepared the data for the
challengeby annotating and by ... | [
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da1be8724e064d46d36eb8ea51dc910eedb2a864 |
# Dataset Card for n2c2 2006 Smoking Status
## Dataset Description
- **Homepage:** https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/
- **Pubmed:** False
- **Public:** False
- **Tasks:** TXTCLASS
The data for the n2c2 2006 smoking challenge consisted of discharge summaries
from Partners HealthCare, which were... | bigbio/n2c2_2006_smokers | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-11-13T22:10:24+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "n2c2 2006 Smoking Status", "bigbio_language": ["English"], "bigbio_license_shortname": "DUA", "homepage": "https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/", "bigbio_pubmed": false, "bigbio_public": false, "bigbio_tasks": [... | 2022-12-22T15:45:46+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for n2c2 2006 Smoking Status
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: TXTCLASS
The data for the n2c2 2006 smoking challenge consisted of discharge summaries
from Partners HealthCare, which were then de-identified, tokenized, broken into
sentences, converted in... | [
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# Dataset Card for n2c2 2008 Obesity
## Dataset Description
- **Homepage:** https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/
- **Pubmed:** True
- **Public:** False
- **Tasks:** TXTCLASS
The data for the n2c2 2008 obesity challenge consisted of discharge summaries from
the Partners HealthCare Research Patien... | bigbio/n2c2_2008 | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-11-13T22:10:28+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "n2c2 2008 Obesity", "bigbio_language": ["English"], "bigbio_license_shortname": "DUA", "homepage": "https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/", "bigbio_pubmed": true, "bigbio_public": false, "bigbio_tasks": ["TEXT_CL... | 2022-12-22T15:45:48+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for n2c2 2008 Obesity
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: False
- Tasks: TXTCLASS
The data for the n2c2 2008 obesity challenge consisted of discharge summaries from
the Partners HealthCare Research Patient Data Repository. These data were chosen
from the discharge summa... | [
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b07981860e51299c11415f88b69275e19193aa2b |
# Dataset Card for n2c2 2009 Medications
## Dataset Description
- **Homepage:** https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/
- **Pubmed:** True
- **Public:** False
- **Tasks:** NER
The Third i2b2 Workshop on Natural Language Processing Challenges for Clinical Records
focused on the identification of med... | bigbio/n2c2_2009 | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-11-13T22:10:31+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "n2c2 2009 Medications", "bigbio_language": ["English"], "bigbio_license_shortname": "DUA", "homepage": "https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/", "bigbio_pubmed": true, "bigbio_public": false, "bigbio_tasks": ["NAM... | 2022-12-22T15:45:50+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for n2c2 2009 Medications
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: False
- Tasks: NER
The Third i2b2 Workshop on Natural Language Processing Challenges for Clinical Records
focused on the identification of medications, their dosages, modes (routes) of administration,
frequenc... | [
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# Dataset Card for n2c2 2010 Concepts, Assertions, and Relations
## Dataset Description
- **Homepage:** https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/
- **Pubmed:** False
- **Public:** False
- **Tasks:** NER,RE
The i2b2/VA corpus contained de-identified discharge summaries from Beth Israel
Deaconess Medic... | bigbio/n2c2_2010 | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-11-13T22:10:35+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "n2c2 2010 Concepts, Assertions, and Relations", "bigbio_language": ["English"], "bigbio_license_shortname": "DUA", "homepage": "https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/", "bigbio_pubmed": false, "bigbio_public": fal... | 2022-12-22T15:45:51+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for n2c2 2010 Concepts, Assertions, and Relations
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: NER,RE
The i2b2/VA corpus contained de-identified discharge summaries from Beth Israel
Deaconess Medical Center, Partners Healthcare, and University of Pittsburgh Medica... | [
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bc3e3f25ee7c6705cbc80417dbe9754c505e0104 |
# Dataset Card for n2c2 2011 Coreference
## Dataset Description
- **Homepage:** https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/
- **Pubmed:** False
- **Public:** False
- **Tasks:** COREF
The i2b2/VA corpus contained de-identified discharge summaries from Beth Israel
Deaconess Medical Center, Partners Healt... | bigbio/n2c2_2011 | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-11-13T22:10:38+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "n2c2 2011 Coreference", "bigbio_language": ["English"], "bigbio_license_shortname": "DUA", "homepage": "https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/", "bigbio_pubmed": false, "bigbio_public": false, "bigbio_tasks": ["CO... | 2022-12-22T15:45:53+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for n2c2 2011 Coreference
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: COREF
The i2b2/VA corpus contained de-identified discharge summaries from Beth Israel
Deaconess Medical Center, Partners Healthcare, and University of Pittsburgh Medical
Center (UPMC). In addit... | [
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49e034682b309a64fa5e5102c5c293771cf71e70 |
# Dataset Card for n2c2 2014 De-identification
## Dataset Description
- **Homepage:** https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/
- **Pubmed:** False
- **Public:** False
- **Tasks:** NER
The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured two tracks.
The first of these was the... | bigbio/n2c2_2014_deid | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-11-13T22:10:42+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "n2c2 2014 De-identification", "bigbio_language": ["English"], "bigbio_license_shortname": "DUA", "homepage": "https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/", "bigbio_pubmed": false, "bigbio_public": false, "bigbio_tasks"... | 2022-12-22T15:45:57+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for n2c2 2014 De-identification
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: NER
The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured two tracks.
The first of these was the de-identification track focused on identifying protected health
in... | [
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# Dataset Card for n2c2 2018 Selection Criteria
## Dataset Description
- **Homepage:** https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/
- **Pubmed:** False
- **Public:** False
- **Tasks:** TXTCLASS
Track 1 of the 2018 National NLP Clinical Challenges shared tasks focused
on identifying which patients in a c... | bigbio/n2c2_2018_track1 | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-11-13T22:10:45+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "n2c2 2018 Selection Criteria", "bigbio_language": ["English"], "bigbio_license_shortname": "DUA", "homepage": "https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/", "bigbio_pubmed": false, "bigbio_public": false, "bigbio_tasks... | 2022-12-22T15:45:59+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for n2c2 2018 Selection Criteria
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: TXTCLASS
Track 1 of the 2018 National NLP Clinical Challenges shared tasks focused
on identifying which patients in a corpus of longitudinal medical records
meet and do not meet identifi... | [
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d03afd823088e16689cf7e5060f769fc12458681 |
# Dataset Card for n2c2 2018 ADE
## Dataset Description
- **Homepage:** https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/
- **Pubmed:** False
- **Public:** False
- **Tasks:** NER,RE
The National NLP Clinical Challenges (n2c2), organized in 2018, continued the
legacy of i2b2 (Informatics for Biology and the B... | bigbio/n2c2_2018_track2 | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-11-13T22:10:49+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "n2c2 2018 ADE", "bigbio_language": ["English"], "bigbio_license_shortname": "DUA", "homepage": "https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/", "bigbio_pubmed": false, "bigbio_public": false, "bigbio_tasks": ["NAMED_ENTI... | 2022-12-22T15:46:01+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for n2c2 2018 ADE
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: NER,RE
The National NLP Clinical Challenges (n2c2), organized in 2018, continued the
legacy of i2b2 (Informatics for Biology and the Bedside), adding 2 new tracks and 2
new sets of data to the shared t... | [
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# Dataset Card for NCBI Disease
## Dataset Description
- **Homepage:** https://www.ncbi.nlm.nih.gov/CBBresearch/Dogan/DISEASE/
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,NED
The NCBI disease corpus is fully annotated at the mention and concept level to serve as a research
resource for the biomedical n... | bigbio/ncbi_disease | [
"multilinguality:monolingual",
"language:en",
"license:cc0-1.0",
"region:us"
] | 2022-11-13T22:10:53+00:00 | {"language": ["en"], "license": "cc0-1.0", "multilinguality": "monolingual", "pretty_name": "NCBI Disease", "bigbio_language": ["English"], "bigbio_license_shortname": "CC0_1p0", "homepage": "https://www.ncbi.nlm.nih.gov/CBBresearch/Dogan/DISEASE/", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_... | 2023-01-14T03:24:56+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-cc0-1.0 #region-us
|
# Dataset Card for NCBI Disease
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER,NED
The NCBI disease corpus is fully annotated at the mention and concept level to serve as a research
resource for the biomedical natural language processing community.
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c03750c25daa63162664ac6e92b6b0ca59bebf6e |
# Dataset Card for NLM-Gene
## Dataset Description
- **Homepage:** https://zenodo.org/record/5089049
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,NED
NLM-Gene consists of 550 PubMed articles, from 156 journals, and contains more than 15 thousand unique gene names, corresponding to more than five thousan... | bigbio/nlm_gene | [
"multilinguality:monolingual",
"language:en",
"license:cc0-1.0",
"region:us"
] | 2022-11-13T22:10:56+00:00 | {"language": ["en"], "license": "cc0-1.0", "multilinguality": "monolingual", "pretty_name": "NLM-Gene", "bigbio_language": ["English"], "bigbio_license_shortname": "CC0_1p0", "homepage": "https://zenodo.org/record/5089049", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_RECOGNITION", "NAME... | 2023-03-31T01:10:39+00:00 | [] | [
"en"
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|
# Dataset Card for NLM-Gene
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER,NED
NLM-Gene consists of 550 PubMed articles, from 156 journals, and contains more than 15 thousand unique gene names, corresponding to more than five thousand gene identifiers (NCBI Gene taxonomy). This ... | [
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2c6743350412e051208097dbf9cd203dfd881e24 |
# Dataset Card for NLM WSD
## Dataset Description
- **Homepage:** https://lhncbc.nlm.nih.gov/restricted/ii/areas/WSD/index.html
- **Pubmed:** True
- **Public:** False
- **Tasks:** NED
In order to support research investigating the automatic resolution of word sense ambiguity using natural language
processing tech... | bigbio/nlm_wsd | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2022-11-13T22:10:59+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "NLM WSD", "bigbio_language": ["English"], "bigbio_license_shortname": "UMLS_LICENSE", "homepage": "https://lhncbc.nlm.nih.gov/restricted/ii/areas/WSD/index.html", "bigbio_pubmed": true, "bigbio_public": false, "bigbio_tasks": ["N... | 2022-12-22T15:46:06+00:00 | [] | [
"en"
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#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for NLM WSD
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: False
- Tasks: NED
In order to support research investigating the automatic resolution of word sense ambiguity using natural language
processing techniques, we have constructed this test collection of medical text in which ... | [
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3ea16ec31a629659cef520c116b17a08db7f3764 |
# Dataset Card for NLM-Chem
## Dataset Description
- **Homepage:** https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-2
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,NED,TXTCLASS
NLM-Chem corpus consists of 150 full-text articles from the PubMed Central Open Access dataset,
comprisin... | bigbio/nlmchem | [
"multilinguality:monolingual",
"language:en",
"license:cc0-1.0",
"region:us"
] | 2022-11-13T22:11:03+00:00 | {"language": ["en"], "license": "cc0-1.0", "multilinguality": "monolingual", "pretty_name": "NLM-Chem", "bigbio_language": ["English"], "bigbio_license_shortname": "CC0_1p0", "homepage": "https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-2", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_ta... | 2022-12-22T15:46:07+00:00 | [] | [
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# Dataset Card for NLM-Chem
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER,NED,TXTCLASS
NLM-Chem corpus consists of 150 full-text articles from the PubMed Central Open Access dataset,
comprising 67 different chemical journals, aiming to cover a general distribution of usage of c... | [
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cb4244c51ecfd387150463d1ad2e1c7dbaad83f4 |
# Dataset Card for NTCIR-13 MedWeb
## Dataset Description
- **Homepage:** http://research.nii.ac.jp/ntcir/permission/ntcir-13/perm-en-MedWeb.html
- **Pubmed:** False
- **Public:** False
- **Tasks:** TRANSL,TXTCLASS
NTCIR-13 MedWeb (Medical Natural Language Processing for Web Document) task requires
to perform a m... | bigbio/ntcir_13_medweb | [
"multilinguality:multilingual",
"language:en",
"language:zh",
"language:ja",
"license:cc-by-4.0",
"region:us"
] | 2022-11-13T22:11:06+00:00 | {"language": ["en", "zh", "ja"], "license": "cc-by-4.0", "multilinguality": "multilingual", "pretty_name": "NTCIR-13 MedWeb", "bigbio_language": ["English", "Chinese", "Japanese"], "bigbio_license_shortname": "CC_BY_4p0", "homepage": "http://research.nii.ac.jp/ntcir/permission/ntcir-13/perm-en-MedWeb.html", "bigbio_pub... | 2022-12-22T15:46:09+00:00 | [] | [
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|
# Dataset Card for NTCIR-13 MedWeb
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: TRANSL,TXTCLASS
NTCIR-13 MedWeb (Medical Natural Language Processing for Web Document) task requires
to perform a multi-label classification that labels for eight diseases/symptoms must
be assigned t... | [
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91785db603fcfebc28a3bb9b52df62968528ad8e |
# Dataset Card for OSIRIS
## Dataset Description
- **Homepage:** https://sites.google.com/site/laurafurlongweb/databases-and-tools/corpora/
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,NED
The OSIRIS corpus is a set of MEDLINE abstracts manually annotated
with human variation mentions. The corpus is dis... | bigbio/osiris | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-3.0",
"region:us"
] | 2022-11-13T22:11:10+00:00 | {"language": ["en"], "license": "cc-by-3.0", "multilinguality": "monolingual", "pretty_name": "OSIRIS", "bigbio_language": ["English"], "bigbio_license_shortname": "CC_BY_3p0", "homepage": "https://sites.google.com/site/laurafurlongweb/databases-and-tools/corpora/", "bigbio_pubmed": true, "bigbio_public": true, "bigbio... | 2022-12-22T15:46:10+00:00 | [] | [
"en"
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|
# Dataset Card for OSIRIS
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER,NED
The OSIRIS corpus is a set of MEDLINE abstracts manually annotated
with human variation mentions. The corpus is distributed under the terms
of the Creative Commons Attribution License
Creative Commons A... | [
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02d51cfe956add9301e00b2fe894d21ad961aaec |
# Dataset Card for ParaMed
## Dataset Description
- **Homepage:** https://github.com/boxiangliu/ParaMed
- **Pubmed:** False
- **Public:** True
- **Tasks:** TRANSL
NEJM is a Chinese-English parallel corpus crawled from the New England Journal of Medicine website.
English articles are distributed through https://w... | bigbio/paramed | [
"multilinguality:multilingual",
"language:en",
"language:zh",
"license:cc-by-4.0",
"region:us"
] | 2022-11-13T22:11:13+00:00 | {"language": ["en", "zh"], "license": "cc-by-4.0", "multilinguality": "multilingual", "pretty_name": "ParaMed", "bigbio_language": ["English", "Chinese"], "bigbio_license_shortname": "CC_BY_4p0", "homepage": "https://github.com/boxiangliu/ParaMed", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["TRANSL... | 2022-12-22T15:46:11+00:00 | [] | [
"en",
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|
# Dataset Card for ParaMed
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: TRANSL
NEJM is a Chinese-English parallel corpus crawled from the New England Journal of Medicine website.
English articles are distributed through URL and Chinese articles are distributed through
URL The c... | [
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a4363872c0cb74f0674761536e3d7e87db529d55 |
# Dataset Card for PCR
## Dataset Description
- **Homepage:** http://210.107.182.73/plantchemcorpus.htm
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,EE
A corpus for plant / herb and chemical entities and for the relationships between them. The corpus contains 2218 plant and chemical entities and 600 pl... | bigbio/pcr | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | 2022-11-13T22:11:17+00:00 | {"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "PCR", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "http://210.107.182.73/plantchemcorpus.htm", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_RECOGNITION", "E... | 2022-12-22T15:46:13+00:00 | [] | [
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# Dataset Card for PCR
## Dataset Description
- Homepage: http://210.107.182.73/URL
- Pubmed: True
- Public: True
- Tasks: NER,EE
A corpus for plant / herb and chemical entities and for the relationships between them. The corpus contains 2218 plant and chemical entities and 600 plant-chemical relationships which... | [
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c06541eebe286b1f4dd4b967be7ab5598857757c |
# Dataset Card for PDR
## Dataset Description
- **Homepage:** http://gcancer.org/pdr/
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,EE,COREF
The corpus of plant-disease relation consists of plants and diseases and their relation to PubMed abstract.
The corpus consists of about 2400 plant and disease ent... | bigbio/pdr | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | 2022-11-13T22:11:20+00:00 | {"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "PDR", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "http://gcancer.org/pdr/", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_RECOGNITION", "EVENT_EXTRACTION", ... | 2022-12-22T15:46:14+00:00 | [] | [
"en"
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# Dataset Card for PDR
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER,EE,COREF
The corpus of plant-disease relation consists of plants and diseases and their relation to PubMed abstract.
The corpus consists of about 2400 plant and disease entities and 300 annotated relations fr... | [
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bcfd7ed4cefb5cc157e2495d558ca7f01920963c |
# Dataset Card for PharmaCoNER
## Dataset Description
- **Homepage:** https://temu.bsc.es/pharmaconer/index.php/datasets/
- **Pubmed:** False
- **Public:** True
- **Tasks:** NER,TXTCLASS
### Subtrack 1
PharmaCoNER: Pharmacological Substances, Compounds and Proteins Named Entity Recognition track
This dataset is... | bigbio/pharmaconer | [
"multilinguality:monolingual",
"language:es",
"license:cc-by-4.0",
"region:us"
] | 2022-11-13T22:11:24+00:00 | {"language": ["es"], "license": "cc-by-4.0", "multilinguality": "monolingual", "pretty_name": "PharmaCoNER", "bigbio_language": ["Spanish"], "bigbio_license_shortname": "CC_BY_4p0", "homepage": "https://temu.bsc.es/pharmaconer/index.php/datasets/", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["NAMED_... | 2022-12-22T15:46:15+00:00 | [] | [
"es"
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#multilinguality-monolingual #language-Spanish #license-cc-by-4.0 #region-us
|
# Dataset Card for PharmaCoNER
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: NER,TXTCLASS
### Subtrack 1
PharmaCoNER: Pharmacological Substances, Compounds and Proteins Named Entity Recognition track
This dataset is designed for the PharmaCoNER task, sponsored by Plan de Impulso... | [
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5490315822791dbbda39931348a2d16a7c360c60 |
# Dataset Card for PICO Annotation
## Dataset Description
- **Homepage:** https://github.com/Markus-Zlabinger/pico-annotation
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER
This dataset contains annotations for Participants, Interventions, and Outcomes (referred to as PICO task).
For 423 sentences, annota... | bigbio/pico_extraction | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | 2022-11-13T22:11:27+00:00 | {"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "PICO Annotation", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "https://github.com/Markus-Zlabinger/pico-annotation", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_E... | 2022-12-22T15:46:16+00:00 | [] | [
"en"
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#multilinguality-monolingual #language-English #license-unknown #region-us
|
# Dataset Card for PICO Annotation
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER
This dataset contains annotations for Participants, Interventions, and Outcomes (referred to as PICO task).
For 423 sentences, annotations collected by 3 medical experts are available.
To get the f... | [
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24e866707cd9ba5dbfeb0355be8cb9a91bc85190 |
# Dataset Card for PMC-Patients
## Dataset Description
- **Homepage:** https://github.com/zhao-zy15/PMC-Patients
- **Pubmed:** True
- **Public:** True
- **Tasks:** STS
This dataset is used for calculating the similarity between two patient descriptions.
## Citation Information
```
@misc{zhao2022pmcpatients,
... | bigbio/pmc_patients | [
"multilinguality:monolingual",
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"license:cc-by-nc-sa-4.0",
"arxiv:2202.13876",
"region:us"
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"en"
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#multilinguality-monolingual #language-English #license-cc-by-nc-sa-4.0 #arxiv-2202.13876 #region-us
|
# Dataset Card for PMC-Patients
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: STS
This dataset is used for calculating the similarity between two patient descriptions.
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fff51281b7936536de98ff763003ab8b7f700f7a |
# Dataset Card for ProGene
## Dataset Description
- **Homepage:** https://zenodo.org/record/3698568#.YlVHqdNBxeg
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER
The Protein/Gene corpus was developed at the JULIE Lab Jena under supervision of Prof. Udo Hahn.
The executing scientist was Dr. Joachim Wermter.
... | bigbio/progene | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-11-13T22:11:35+00:00 | {"language": ["en"], "license": "cc-by-4.0", "multilinguality": "monolingual", "pretty_name": "ProGene", "bigbio_language": ["English"], "bigbio_license_shortname": "CC_BY_4p0", "homepage": "https://zenodo.org/record/3698568#.YlVHqdNBxeg", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_REC... | 2022-12-22T15:46:19+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for ProGene
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER
The Protein/Gene corpus was developed at the JULIE Lab Jena under supervision of Prof. Udo Hahn.
The executing scientist was Dr. Joachim Wermter.
The main annotator was Dr. Rico Pusch who is an expert in b... | [
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# Dataset Card for PsyTAR
## Dataset Description
- **Homepage:** https://www.askapatient.com/research/pharmacovigilance/corpus-ades-psychiatric-medications.asp
- **Pubmed:** False
- **Public:** False
- **Tasks:** NER,TXTCLASS
The "Psychiatric Treatment Adverse Reactions" (PsyTAR) dataset contains 891 drugs
review... | bigbio/psytar | [
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"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-11-13T22:11:38+00:00 | {"language": ["en"], "license": "cc-by-4.0", "multilinguality": "monolingual", "pretty_name": "PsyTAR", "bigbio_language": ["English"], "bigbio_license_shortname": "CC_BY_4p0", "homepage": "https://www.askapatient.com/research/pharmacovigilance/corpus-ades-psychiatric-medications.asp", "bigbio_pubmed": false, "bigbio_p... | 2022-12-22T15:46:20+00:00 | [] | [
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|
# Dataset Card for PsyTAR
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: NER,TXTCLASS
The "Psychiatric Treatment Adverse Reactions" (PsyTAR) dataset contains 891 drugs
reviews posted by patients on "URL", about the effectiveness and adverse
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5da57e875c04da612ea91aac26429be382068203 |
# Dataset Card for PUBHEALTH
## Dataset Description
- **Homepage:** https://github.com/neemakot/Health-Fact-Checking/tree/master/data
- **Pubmed:** False
- **Public:** True
- **Tasks:** TXTCLASS
A dataset of 11,832 claims for fact- checking, which are related a range of health topics
including biomedical subjects... | bigbio/pubhealth | [
"multilinguality:monolingual",
"language:en",
"license:mit",
"region:us"
] | 2022-11-13T22:11:42+00:00 | {"language": ["en"], "license": "mit", "multilinguality": "monolingual", "pretty_name": "PUBHEALTH", "bigbio_language": ["English"], "bigbio_license_shortname": "MIT", "homepage": "https://github.com/neemakot/Health-Fact-Checking/tree/master/data", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["TEXT_C... | 2022-12-22T15:46:21+00:00 | [] | [
"en"
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|
# Dataset Card for PUBHEALTH
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: TXTCLASS
A dataset of 11,832 claims for fact- checking, which are related a range of health topics
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# Dataset Card for PubMedQA
## Dataset Description
- **Homepage:** https://github.com/pubmedqa/pubmedqa
- **Pubmed:** True
- **Public:** True
- **Tasks:** QA
PubMedQA is a novel biomedical question answering (QA) dataset collected from PubMed abstracts.
The task of PubMedQA is to answer research biomedical questi... | bigbio/pubmed_qa | [
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"en"
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|
# Dataset Card for PubMedQA
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: QA
PubMedQA is a novel biomedical question answering (QA) dataset collected from PubMed abstracts.
The task of PubMedQA is to answer research biomedical questions with yes/no/maybe using the corresponding abs... | [
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b05b96997452726ffecd0405ee33f92237f49845 |
# Dataset Card for PubTator Central
## Dataset Description
- **Homepage:** https://www.ncbi.nlm.nih.gov/research/pubtator/
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,NED
PubTator Central (PTC, https://www.ncbi.nlm.nih.gov/research/pubtator/) is a web service for
exploring and retrieving bioconcept ann... | bigbio/pubtator_central | [
"multilinguality:monolingual",
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"license:other",
"region:us"
] | 2022-11-13T22:11:49+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "PubTator Central", "bigbio_language": ["English"], "bigbio_license_shortname": "NCBI_LICENSE", "homepage": "https://www.ncbi.nlm.nih.gov/research/pubtator/", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_E... | 2022-12-22T15:46:26+00:00 | [] | [
"en"
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#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for PubTator Central
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER,NED
PubTator Central (PTC, URL is a web service for
exploring and retrieving bioconcept annotations in full text biomedical articles. PTC provides
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cd40ac30e08078e50aba76901b53d0080395919b |
# Dataset Card for QUAERO
## Dataset Description
- **Homepage:** https://quaerofrenchmed.limsi.fr/
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,NED
The QUAERO French Medical Corpus has been initially developed as a resource for named entity recognition and normalization [1]. It was then improved with th... | bigbio/quaero | [
"multilinguality:monolingual",
"language:fr",
"license:other",
"region:us"
] | 2022-11-13T22:11:53+00:00 | {"language": ["fr"], "license": "other", "multilinguality": "monolingual", "pretty_name": "QUAERO", "bigbio_language": ["French"], "bigbio_license_shortname": "GFDL_1p3", "homepage": "https://quaerofrenchmed.limsi.fr/", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_RECOGNITION", "NAMED_EN... | 2022-12-22T15:46:29+00:00 | [] | [
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#multilinguality-monolingual #language-French #license-other #region-us
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# Dataset Card for QUAERO
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER,NED
The QUAERO French Medical Corpus has been initially developed as a resource for named entity recognition and normalization [1]. It was then improved with the purpose of creating a gold standard set of n... | [
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# Dataset Card for SCAI Chemical
## Dataset Description
- **Homepage:** https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads/corpora-for-chemical-entity-recognition.html
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER
SCAI Chemical is a corpus of MEDLINE abstracts that has bee... | bigbio/scai_chemical | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | 2022-11-13T22:11:56+00:00 | {"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "SCAI Chemical", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads/corpora-for-chemical-entity-recognition.html... | 2022-12-22T15:46:32+00:00 | [] | [
"en"
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# Dataset Card for SCAI Chemical
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER
SCAI Chemical is a corpus of MEDLINE abstracts that has been annotated
to give an overview of the different chemical name classes
found in MEDLINE text.
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# Dataset Card for SCAI Disease
## Dataset Description
- **Homepage:** https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads/corpus-for-disease-names-and-adverse-effects.html
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER
SCAI Disease is a dataset annotated in 2010 with mentio... | bigbio/scai_disease | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | 2022-11-13T22:12:00+00:00 | {"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "SCAI Disease", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads/corpus-for-disease-names-and-adverse-effects.... | 2022-12-22T15:46:35+00:00 | [] | [
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# Dataset Card for SCAI Disease
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER
SCAI Disease is a dataset annotated in 2010 with mentions of diseases and
adverse effects. It is a corpus containing 400 randomly selected MEDLINE
abstracts generated using ‘Disease OR Adverse effect’... | [
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"## Dataset Description\n\n- Homepage: URL\n- Pubmed: True\n- Public: True\n- Tasks: NER\n\n\nSCAI Disease is a dataset annotated in 2010 with mentions of diseases and\nadverse effects. It i... | [
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292fbffb65a93962d99730d80fbd777a9a244d09 |
# Dataset Card for SciCite
## Dataset Description
- **Homepage:** https://allenai.org/data/scicite
- **Pubmed:** False
- **Public:** True
- **Tasks:** TXTCLASS
SciCite is a dataset of 11K manually annotated citation intents based on
citation context in the computer science and biomedical domains.
## Citation I... | bigbio/scicite | [
"multilinguality:monolingual",
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"license:unknown",
"region:us"
] | 2022-11-13T22:12:03+00:00 | {"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "SciCite", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "https://allenai.org/data/scicite", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["TEXT_CLASSIFICATION"]} | 2022-12-22T15:46:37+00:00 | [] | [
"en"
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#multilinguality-monolingual #language-English #license-unknown #region-us
|
# Dataset Card for SciCite
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: TXTCLASS
SciCite is a dataset of 11K manually annotated citation intents based on
citation context in the computer science and biomedical domains.
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7cdf4fc4cad236980814e3468f2d7fb8236fe261 |
# Dataset Card for SciELO
## Dataset Description
- **Homepage:** https://sites.google.com/view/felipe-soares/datasets#h.p_92uSCyAjWSRB
- **Pubmed:** False
- **Public:** True
- **Tasks:** TRANSL
A parallel corpus of full-text scientific articles collected from Scielo database in the following languages: English, P... | bigbio/scielo | [
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"language:es",
"language:pt",
"license:cc-by-4.0",
"region:us"
] | 2022-11-13T22:12:07+00:00 | {"language": ["en", "es", "pt"], "license": "cc-by-4.0", "multilinguality": "multilingual", "pretty_name": "SciELO", "bigbio_language": ["English", "Spanish", "Portuguese"], "bigbio_license_shortname": "CC_BY_4p0", "homepage": "https://sites.google.com/view/felipe-soares/datasets#h.p_92uSCyAjWSRB", "bigbio_pubmed": fal... | 2022-12-22T15:46:40+00:00 | [] | [
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#multilinguality-multilingual #language-English #language-Spanish #language-Portuguese #license-cc-by-4.0 #region-us
|
# Dataset Card for SciELO
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: TRANSL
A parallel corpus of full-text scientific articles collected from Scielo database in the following languages: English, Portuguese and Spanish. The corpus is sentence aligned for all language pairs, as w... | [
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f75ae356668b896f3816d41d90622775c85c9d1a |
# Dataset Card for SciFact
## Dataset Description
- **Homepage:** https://scifact.apps.allenai.org/
- **Pubmed:** False
- **Public:** True
- **Tasks:** TXT2CLASS
### Scifact Corpus Source
SciFact is a dataset of 1.4K expert-written scientific claims paired with evidence-containing abstracts, and annotate... | bigbio/scifact | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-nc-2.0",
"region:us"
] | 2022-11-13T22:12:10+00:00 | {"language": ["en"], "license": "cc-by-nc-2.0", "multilinguality": "monolingual", "pretty_name": "SciFact", "bigbio_language": ["English"], "bigbio_license_shortname": "CC_BY_NC_2p0", "homepage": "https://scifact.apps.allenai.org/", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["TEXT_PAIRS_CLASSIFICAT... | 2022-12-22T15:46:44+00:00 | [] | [
"en"
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#multilinguality-monolingual #language-English #license-cc-by-nc-2.0 #region-us
|
# Dataset Card for SciFact
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: TXT2CLASS
### Scifact Corpus Source
SciFact is a dataset of 1.4K expert-written scientific claims paired with evidence-containing abstracts, and annotated with labels and rationales.
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866ceacf2a904cb03a78f1bf2a6c6fe1c28ada63 |
# Dataset Card for SciQ
## Dataset Description
- **Homepage:** https://allenai.org/data/sciq
- **Pubmed:** False
- **Public:** True
- **Tasks:** QA
The SciQ dataset contains 13,679 crowdsourced science exam questions about Physics, Chemistry and Biology, among others. The questions are in multiple-choice format w... | bigbio/sciq | [
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"region:us"
] | 2022-11-13T22:12:14+00:00 | {"language": ["en"], "license": "cc-by-nc-3.0", "multilinguality": "monolingual", "pretty_name": "SciQ", "bigbio_language": ["English"], "bigbio_license_shortname": "CC_BY_NC_3p0", "homepage": "https://allenai.org/data/sciq", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["QUESTION_ANSWERING"]} | 2022-12-22T15:46:48+00:00 | [] | [
"en"
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# Dataset Card for SciQ
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: QA
The SciQ dataset contains 13,679 crowdsourced science exam questions about Physics, Chemistry and Biology, among others. The questions are in multiple-choice format with 4 answer options each. For most questi... | [
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7a61469b351b38a5e4307b3700f98f99869eeb71 |
# Dataset Card for SETH Corpus
## Dataset Description
- **Homepage:** https://github.com/rockt/SETH
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,RE
SNP named entity recognition corpus consisting of 630 PubMed citations.
## Citation Information
```
@Article{SETH2016,
Title = {SETH detects an... | bigbio/seth_corpus | [
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"region:us"
] | 2022-11-13T22:12:17+00:00 | {"language": ["en"], "license": "apache-2.0", "multilinguality": "monolingual", "pretty_name": "SETH Corpus", "bigbio_language": ["English"], "bigbio_license_shortname": "APACHE_2p0", "homepage": "https://github.com/rockt/SETH", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_RECOGNITION", ... | 2022-12-22T15:46:51+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-apache-2.0 #region-us
|
# Dataset Card for SETH Corpus
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER,RE
SNP named entity recognition corpus consisting of 630 PubMed citations.
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91d8887f64d873801aa78653690d9d2592374356 |
# Dataset Card for SPL ADR
## Dataset Description
- **Homepage:** https://bionlp.nlm.nih.gov/tac2017adversereactions/
- **Pubmed:** False
- **Public:** True
- **Tasks:** NER,NED,RE
The United States Food and Drug Administration (FDA) partnered with the National Library
of Medicine to create a pilot dataset contai... | bigbio/spl_adr_200db | [
"multilinguality:monolingual",
"language:en",
"license:cc0-1.0",
"region:us"
] | 2022-11-13T22:12:21+00:00 | {"language": ["en"], "license": "cc0-1.0", "multilinguality": "monolingual", "pretty_name": "SPL ADR", "bigbio_language": ["English"], "bigbio_license_shortname": "CC0_1p0", "homepage": "https://bionlp.nlm.nih.gov/tac2017adversereactions/", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_R... | 2022-12-22T15:46:56+00:00 | [] | [
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|
# Dataset Card for SPL ADR
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: NER,NED,RE
The United States Food and Drug Administration (FDA) partnered with the National Library
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6f92006c68f5f4d38a00efebf5abc5edd51c51cd |
# Dataset Card for Swedish Medical NER
## Dataset Description
- **Homepage:** https://github.com/olofmogren/biomedical-ner-data-swedish/
- **Pubmed:** False
- **Public:** True
- **Tasks:** NER
swedish_medical_ner is Named Entity Recognition dataset on medical text in Swedish.
It consists three subsets which are ... | bigbio/swedish_medical_ner | [
"multilinguality:monolingual",
"language:sv",
"license:cc-by-sa-4.0",
"region:us"
] | 2022-11-13T22:12:24+00:00 | {"language": ["sv"], "license": "cc-by-sa-4.0", "multilinguality": "monolingual", "pretty_name": "Swedish Medical NER", "bigbio_language": ["Swedish"], "bigbio_license_shortname": "CC_BY_SA_4p0", "homepage": "https://github.com/olofmogren/biomedical-ner-data-swedish/", "bigbio_pubmed": false, "bigbio_public": true, "bi... | 2022-12-22T15:46:59+00:00 | [] | [
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|
# Dataset Card for Swedish Medical NER
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: NER
swedish_medical_ner is Named Entity Recognition dataset on medical text in Swedish.
It consists three subsets which are in turn derived from three different sources
respectively: the Swedish... | [
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# Dataset Card for tmVar v1
## Dataset Description
- **Homepage:** https://www.ncbi.nlm.nih.gov/research/bionlp/Tools/tmvar/
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER
This dataset contains 500 PubMed articles manually annotated with mutation mentions of various kinds. It can be used for NER tasks onl... | bigbio/tmvar_v1 | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | 2022-11-13T22:12:28+00:00 | {"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "tmVar v1", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "https://www.ncbi.nlm.nih.gov/research/bionlp/Tools/tmvar/", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_EN... | 2022-12-22T15:47:01+00:00 | [] | [
"en"
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#multilinguality-monolingual #language-English #license-unknown #region-us
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# Dataset Card for tmVar v1
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER
This dataset contains 500 PubMed articles manually annotated with mutation mentions of various kinds. It can be used for NER tasks only.
The dataset is split into train(334) and test(166) splits
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# Dataset Card for tmVar v2
## Dataset Description
- **Homepage:** https://www.ncbi.nlm.nih.gov/research/bionlp/Tools/tmvar/
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,NED
This dataset contains 158 PubMed articles manually annotated with mutation mentions of various kinds and dbsnp normalizations for ... | bigbio/tmvar_v2 | [
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# Dataset Card for tmVar v2
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER,NED
This dataset contains 158 PubMed articles manually annotated with mutation mentions of various kinds and dbsnp normalizations for each of them.
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# Dataset Card for tmVar v3
## Dataset Description
- **Homepage:** https://www.ncbi.nlm.nih.gov/research/bionlp/Tools/tmvar/
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,NED
This dataset contains 500 PubMed articles manually annotated with mutation mentions of various kinds and dbsnp normalizations for ... | bigbio/tmvar_v3 | [
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"arxiv:2204.03637",
"region:us"
] | 2022-11-13T22:12:35+00:00 | {"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "tmVar v3", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "https://www.ncbi.nlm.nih.gov/research/bionlp/Tools/tmvar/", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_EN... | 2023-02-17T14:55:58+00:00 | [
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# Dataset Card for tmVar v3
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER,NED
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"passage: TAGS\n#multilinguality-monolingual #language-English #license-unknown #arxiv-2204.03637 #region-us \n# Dataset Card for tmVar v3## Dataset Description\n\n- Homepage: URL\n- Pubmed: True\n- Public: True\n- Tasks: NER,NED\n\n\nThis dataset contains 500 PubMed articles manually annotated with mutation mentio... |
a87224f51261b436e67f7b0888508431a71177cc |
# Dataset Card for TwADR-L
## Dataset Description
- **Homepage:** https://zenodo.org/record/55013
- **Pubmed:** False
- **Public:** True
- **Tasks:** NER,NED
The TwADR-L dataset contains medical concepts written on social media (Twitter) mapped to how they are formally written in medical ontologies (SIDER 4).
... | bigbio/twadrl | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-11-13T22:12:38+00:00 | {"language": ["en"], "license": "cc-by-4.0", "multilinguality": "monolingual", "pretty_name": "TwADR-L", "bigbio_language": ["English"], "bigbio_license_shortname": "CC_BY_4p0", "homepage": "https://zenodo.org/record/55013", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_RECOGNITION", "NA... | 2022-12-22T15:47:15+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for TwADR-L
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: NER,NED
The TwADR-L dataset contains medical concepts written on social media (Twitter) mapped to how they are formally written in medical ontologies (SIDER 4).
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5a7a75c8969a3afcc8bd6c9422532ac02ec3fd09 |
# Dataset Card for UMNSRS
## Dataset Description
- **Homepage:** https://conservancy.umn.edu/handle/11299/196265/
- **Pubmed:** False
- **Public:** True
- **Tasks:** STS
UMNSRS, developed by Pakhomov, et al., consists of 725 clinical term pairs whose semantic similarity and relatedness.
The similarity and related... | bigbio/umnsrs | [
"multilinguality:monolingual",
"language:en",
"license:cc0-1.0",
"region:us"
] | 2022-11-13T22:12:42+00:00 | {"language": ["en"], "license": "cc0-1.0", "multilinguality": "monolingual", "pretty_name": "UMNSRS", "bigbio_language": ["English"], "bigbio_license_shortname": "CC0_1p0", "homepage": "https://conservancy.umn.edu/handle/11299/196265/", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["SEMANTIC_SIMILARIT... | 2022-12-22T15:47:36+00:00 | [] | [
"en"
] | TAGS
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|
# Dataset Card for UMNSRS
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: STS
UMNSRS, developed by Pakhomov, et al., consists of 725 clinical term pairs whose semantic similarity and relatedness.
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174cfc42c5a5316b67904ba1ad7fce5fe00205cc |
# Dataset Card for Verspoor 2013
## Dataset Description
- **Homepage:** NA
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,RE
This dataset contains annotations for a small corpus of full text journal publications on the subject of inherited colorectal cancer. It is suitable for Named Entity Recognition and... | bigbio/verspoor_2013 | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | 2022-11-13T22:12:45+00:00 | {"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "Verspoor 2013", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "NA", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_RECOGNITION", "RELATION_EXTRACTION"]} | 2022-12-22T15:47:37+00:00 | [] | [
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#multilinguality-monolingual #language-English #license-unknown #region-us
|
# Dataset Card for Verspoor 2013
## Dataset Description
- Homepage: NA
- Pubmed: True
- Public: True
- Tasks: NER,RE
This dataset contains annotations for a small corpus of full text journal publications on the subject of inherited colorectal cancer. It is suitable for Named Entity Recognition and Relation Extrac... | [
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16e1f83ef950f8265fc0a9e6628d43096ab6a22f |
# Dataset Card for Danish WIT
## Dataset Description
- **Repository:** <https://gist.github.com/saattrupdan/bb6c9c52d9f4b35258db2b2456d31224>
- **Point of Contact:** [Dan Saattrup Nielsen](mailto:dan.nielsen@alexandra.dk)
- **Size of downloaded dataset files:** 7.5 GB
- **Size of the generated dataset:** 7.8 GB
- **... | alexandrainst/da-wit | [
"task_categories:image-to-text",
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"source_datasets:wikimedia/wit_base",
"language:da",
"license:cc-by-sa-4.0",
"region:us"
] | 2022-11-13T22:14:51+00:00 | {"language": ["da"], "license": ["cc-by-sa-4.0"], "size_categories": ["100K<n<1M"], "source_datasets": ["wikimedia/wit_base"], "task_categories": ["image-to-text", "zero-shot-image-classification", "feature-extraction"], "task_ids": ["image-captioning"], "pretty_name": "Danish WIT"} | 2022-11-18T15:48:44+00:00 | [] | [
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| Dataset Card for Danish WIT
===========================
Dataset Description
-------------------
* Repository: <URL
* Point of Contact: Dan Saattrup Nielsen
* Size of downloaded dataset files: 7.5 GB
* Size of the generated dataset: 7.8 GB
* Total amount of disk used: 15.3 GB
### Dataset Summary
Google presented... | [
"### Dataset Summary\n\n\nGoogle presented the Wikipedia Image Text (WIT) dataset in July\n2021, a dataset which contains\nscraped images from Wikipedia along with their descriptions. WikiMedia released\nWIT-Base in September\n2021,\nbeing a modified version of WIT where they have removed the images with empty\n\"r... | [
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2190d35937c1ecb7b1f293d45165b2eb4f8dbe1b | # Dataset Card for "code-tokenized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | NeelNanda/code-tokenized | [
"region:us"
] | 2022-11-14T00:04:10+00:00 | {"dataset_info": {"features": [{"name": "tokens", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 2436318372, "num_examples": 297257}], "download_size": 501062424, "dataset_size": 2436318372}} | 2022-11-14T00:05:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "code-tokenized"
More Information needed | [
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b214d7f3b750f4d8051d3c3d2e1f09f01dd251e7 | # Dataset Card for "c4-tokenized-2b"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | NeelNanda/c4-tokenized-2b | [
"region:us"
] | 2022-11-14T00:15:38+00:00 | {"dataset_info": {"features": [{"name": "tokens", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 11145289620, "num_examples": 1359845}], "download_size": 2530851147, "dataset_size": 11145289620}} | 2022-11-14T00:26:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "c4-tokenized-2b"
More Information needed | [
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9699b134759636ee820acba74887bf165e49f8ef | Flickr30k Images Data | Ziyang/F30k | [
"region:us"
] | 2022-11-14T01:16:39+00:00 | {} | 2022-11-14T01:47:01+00:00 | [] | [] | TAGS
#region-us
| Flickr30k Images Data | [] | [
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6
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7f8f2478e374f161fede00a6ea1d7997201fb82c |
# Dataset Card for KsponSpeech
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-struc... | Murple/ksponspeech | [
"task_categories:automatic-speech-recognition",
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"size_categories:10K<n<100K",
"source_datasets:original",
"language:ko",
"region:us"
] | 2022-11-14T01:58:12+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["ko"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition"], "task_ids": [], "pretty_name": "KsponSpeec... | 2022-11-14T02:41:37+00:00 | [] | [
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| Dataset Card for KsponSpeech
============================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ ... | [
"### Dataset Summary\n\n\nThis corpus contains 969 h of general open-domain dialog utterances, spoken by about 2000 native Korean speakers in a clean environment. All data were constructed by recording the dialogue of two people freely conversing on a variety of topics and manually transcribing the utterances. The ... | [
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ccd203bc0b7fae5ccb76e768597b50299ae0917a | # Dataset Card for "tokenized-recipe-nlg-gpt2"
This a tokenized version of the recipe-nlg database from https://recipenlg.cs.put.poznan.pl/.
The preprocessing on the original csv was done using the methodology of the original paper (best as I could interpret) along with a similar 0.05 percent train test split. The to... | pratultandon/tokenized-recipe-nlg-gpt2 | [
"region:us"
] | 2022-11-14T02:07:58+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "test", "num_bytes": 135944246, "num_examples": 106202}, {"name": "train", "num_bytes": 2582090838, "num_examples": 2022671}], "download_size": 805955428, "dataset_size": 27180... | 2022-11-16T17:14:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tokenized-recipe-nlg-gpt2"
This a tokenized version of the recipe-nlg database from URL
The preprocessing on the original csv was done using the methodology of the original paper (best as I could interpret) along with a similar 0.05 percent train test split. The tokenizer used has some special tok... | [
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3d3615f3b90aa9f63635597e8123820dab866749 |
# Dataset Card for MMCRSC
## Table of Contents
- [Table of Contents](#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)... | Murple/mmcrsc | [
"task_categories:automatic-speech-recognition",
"annotations_creators:expert-generated",
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"size_categories:10K<n<100K",
"source_datasets:original",
"language:zh",
"license:cc-by-nc-nd-4.0",
"region:us"
] | 2022-11-14T02:25:20+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["zh"], "license": ["cc-by-nc-nd-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition"], "task_ids": [], "pretty_n... | 2022-11-14T02:37:54+00:00 | [] | [
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|
# Dataset Card for MMCRSC
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal ... | [
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4f651d4d829b90f12d836eed30b08b7619b13b2f | CXR-PRO contains the following files:
```
.
├── cxr.h5
├── mimic_train_impressions.csv
└── mimic_test_impressions.csv
```
The contents of each file are outlined below:
`cxr.h5`: The subset of MIMIC-CXR chest radiographs used for MIMIC-PRO, saved in Hierarchical Data Format (HDF).
`mimic_train_impressions.csv`: A com... | rajpurkarlab/CXR-PRO | [
"region:us"
] | 2022-11-14T02:41:31+00:00 | {} | 2022-11-14T03:11:17+00:00 | [] | [] | TAGS
#region-us
| CXR-PRO contains the following files:
The contents of each file are outlined below:
'cxr.h5': The subset of MIMIC-CXR chest radiographs used for MIMIC-PRO, saved in Hierarchical Data Format (HDF).
'mimic_train_impressions.csv': A compilation of the impressions section of each radiology report in the MIMIC-PRO datas... | [] | [
"TAGS\n#region-us \n"
] | [
6
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f48d8a3b7207ad00de83c334476d5132bc3fc20d |
Dataset Summary
---
Collection of Romance Novels featuring `title`, `description`, and `genres`. Created with intention of building a "Romance Novel Generator."
Data Fields
---
- `id` : unique integer to id book in the dataset
- `pub_month` : string indicating the month the book was published in the form: `YEAR_MONTH... | diltdicker/romance_books_32K | [
"license:openrail",
"region:us"
] | 2022-11-14T02:58:32+00:00 | {"license": "openrail"} | 2022-11-15T07:37:05+00:00 | [] | [] | TAGS
#license-openrail #region-us
|
Dataset Summary
---
Collection of Romance Novels featuring 'title', 'description', and 'genres'. Created with intention of building a "Romance Novel Generator."
Data Fields
---
- 'id' : unique integer to id book in the dataset
- 'pub_month' : string indicating the month the book was published in the form: 'YEAR_MONTH... | [] | [
"TAGS\n#license-openrail #region-us \n"
] | [
12
] | [
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fe9769ed6f11f9bc4c77f831ffa4e0a83bdd58f3 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-125m_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Confi... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-0d489a-2053267106 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-14T08:59:40+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_v5"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-125m_eval", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_v5", "dataset_config": "... | 2022-11-14T09:02:47+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-125m_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistere... | [
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d0863108277569f137900db4ab033df5702779eb | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Confi... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-0d489a-2053267104 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistere... | [
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"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-350m_eval\n* Dataset: mathemakitten/winobias_antiste... | [
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9fb3124dfb11c21551b209dc062d65c24aa83444 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-30b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-2bec9f-2053467109 | [
"autotrain",
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"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-30b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistereo... | [
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bd4e5970e5b323d4d9a72eccfd6c23876597d671 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-6.7b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Confi... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-0d489a-2053267103 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-6.7b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistere... | [
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7df8023075a155c0ca570cfc73d2d941ea7b206e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-66b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-2bec9f-2053467108 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-66b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistereo... | [
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36a81b77e33fd8c11a8cc6886e05eca940ef319f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-66b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-0d489a-2053267100 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-66b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistereo... | [
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a46fa00bec2d4c1064b9a49339ced0c6186e2d34 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Confi... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-2bec9f-2053467113 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
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* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistere... | [
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83df56962dbbddd26c685468382bedeaf1c1817b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Confi... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-2bec9f-2053467112 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistere... | [
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97bec3a98ac858235afb67629c0c7f443ea8bf93 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-13b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-0d489a-2053267102 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
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* Config: mathemakitten--winobias_antistereo... | [
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c02345056ef042291d7f6fefd21c31c02086995d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-6.7b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Confi... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-2bec9f-2053467111 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
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* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistere... | [
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a7276dac777a4c4f4d390e05923f7f821c8d04d2 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Confi... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-0d489a-2053267105 | [
"autotrain",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistere... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-2.7b_eval\n* Dataset: mathemakitten/winobias_anti... |
9f94c13a99e14d2638bc7ca61d87cf67bca87d79 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-1.3b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Confi... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-0d489a-2053267107 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-14T08:59:41+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_v5"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-1.3b_eval", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_v5", "dataset_config": "... | 2022-11-14T09:12:11+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-1.3b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistere... | [
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14860646c6f720e72cf55464d189a7555e7e9cec | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-30b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-0d489a-2053267101 | [
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"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-30b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistereo... | [
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8317593dfeb46e445a5ed266069037156978bfa3 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-66b
* Dataset: futin/guess
* Config: vi
* Split: test
To run new evaluation jobs... | autoevaluate/autoeval-eval-futin__guess-vi-4444ed-2051267099 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-14T08:59:43+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/guess"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-66b", "metrics": [], "dataset_name": "futin/guess", "dataset_config": "vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes... | 2022-11-16T00:32:43+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-66b
* Dataset: futin/guess
* Config: vi
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic mod... | [
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70a0c0951526431bcb8b47e133e4af5025792d7a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-13b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-2bec9f-2053467110 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-13b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistereo... | [
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ec4045eaba819c82558871eb939e1c826d3f8d7b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli
* Dataset: anli
* Config: plain_text
* Split: dev_r1... | autoevaluate/autoeval-eval-anli-plain_text-f2dca1-2066067125 | [
"autotrain",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli
* Dataset: anli
* Config: plain_text
* Split: dev_r1
To run new evaluation jobs, visit ... | [
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"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli\n* Dataset: anli\n* Config: pl... | [
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c6e40c10c1ca965f3d0c0dd76d1be9acddf6ad3b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Translation
* Model: facebook/wmt19-en-de
* Dataset: wmt19
* Config: de-en
* Split: validation
To run new evaluation jobs, visit Hug... | autoevaluate/autoeval-eval-wmt19-de-en-9eb893-2069467127 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-14T09:06:47+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["wmt19"], "eval_info": {"task": "translation", "model": "facebook/wmt19-en-de", "metrics": [], "dataset_name": "wmt19", "dataset_config": "de-en", "dataset_split": "validation", "col_mapping": {"source": "translation.en", "target": "translation.d... | 2022-11-14T09:09:53+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Translation
* Model: facebook/wmt19-en-de
* Dataset: wmt19
* Config: de-en
* Split: validation
To run new evaluation jobs, visit Hugging Face's automatic model evaluato... | [
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0c27b993cc627c9d2f2d6162fdee1785daae38f4 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-125m_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Confi... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-2bec9f-2053467114 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-125m_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistere... | [
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8a64f02528a560bc0739c2f6955d6b5ccadd4111 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new... | autoevaluate/autoeval-staging-eval-project-9aae5b6e-ef52-4647-8803-adc504c910ae-1210 | [
"autotrain",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new evaluation jobs, visit Hugging Face... | [
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73ccdba1ed1739991be73cb86e7477b4037e85eb | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-1.3b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Confi... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-2bec9f-2053467115 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-1.3b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistere... | [
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2581ffc58670a1b678a4a4b4a59ec2247b0d2411 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-30b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-b6a817-2053667117 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-30b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistereo... | [
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b7d5e885c343176c275fbd824e3f31c110a98949 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-13b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-b6a817-2053667118 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-14T09:21:50+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_v5"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-13b_eval", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_v5", "dataset_config": "m... | 2022-11-14T10:48:28+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-13b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistereo... | [
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16def52d7b0ee278a717445bc14195d966ff5eeb | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: it5/mt5-base-news-summarization
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation ... | autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-92e227-2073967129 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-14T09:24:50+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "it5/mt5-base-news-summarization", "metrics": [], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"text": "article", "target": ... | 2022-11-14T09:38:24+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: it5/mt5-base-news-summarization
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic... | [
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880c276e4e56abf43cfbd2249719dc1f6b369ce7 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Confi... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-b6a817-2053667120 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-14T09:28:40+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_v5"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-350m_eval", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_v5", "dataset_config": "... | 2022-11-14T09:33:51+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-350m_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistere... | [
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317fa524ae5f042b78697f782f2ae18b9a1f4274 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-6.7b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Confi... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-b6a817-2053667119 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-14T09:28:43+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_v5"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-6.7b_eval", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_v5", "dataset_config": "... | 2022-11-14T10:17:59+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-6.7b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistere... | [
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"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-6.7b_eval\n* Dataset: mathemakitten/winobias_antiste... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: inverse-scaling/opt-6.7b_eval\n* Dataset: mathemakitten/winobias_anti... |
9b8d639734a86e5f7a1b4f29230db77f29ca8328 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Confi... | autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-b6a817-2053667121 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-14T09:32:21+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["mathemakitten/winobias_antistereotype_test_v5"], "eval_info": {"task": "text_zero_shot_classification", "model": "inverse-scaling/opt-2.7b_eval", "metrics": [], "dataset_name": "mathemakitten/winobias_antistereotype_test_v5", "dataset_config": "... | 2022-11-14T09:54:08+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: inverse-scaling/opt-2.7b_eval
* Dataset: mathemakitten/winobias_antistereotype_test_v5
* Config: mathemakitten--winobias_antistere... | [
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4cf21508c3fdc2d141b04dcd729fd72e1b307e6e | # Dataset Card for "MiniScans"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Nadav/MiniScans | [
"region:us"
] | 2022-11-14T09:34:46+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "evaluation", "1": "train"}}}}], "splits": [{"name": "test", "num_bytes": 1655444336.229, "num_examples": 15159}, {"name": "train", "num_bytes": 34770710847.12, "num_examples": 300780}], "downl... | 2022-11-15T14:15:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "MiniScans"
More Information needed | [
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