# Dataset Card for Dataset Named Entity Recognition of funders of scientific research

## Dataset Description

- **Homepage:https://econstor.eu** 
- **Repository:https://github.com/zbw/Funder-NER** 
- **Paper: https://doi.org/10.1007/978-3-031-16802-4_24** 
- **Leaderboard:** 
- **Point of Contact:** 

### Dataset Summary

Training/test set for automatically identifying funder entities mentioned in scientific papers. This data set is generated from Open Access documents hosted at https://econstor.eu and manually curated/labeled.

### Supported Tasks and Leaderboards

The dataset is for training and testing the automatic recognition of funders as they are acknowledged in scientific papers.

### Languages

English

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

"handle: the PID of the OA working paper"
"crossref_doi: the PID of the corresponding publication (article), as registered via CrossRef"
"crossref_phrase: the funder according to CrossRef metadata"
"pdf_phrase: the acknowledgement phrase from the paper"
"funder: Y(es) in case there is at least one funder, N(o) in case there is no funder supporting the work, but OA publishing funding"

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

The dataset was manually curated to train the NER recognition based on a QA system.

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

[More Information Needed]
task_categories:question-answering task_categories:token-classification size_categories:n<1K language:en license:cc-by-nc-sa-4.0 doi:10.57967/hf/1011 region:us
{"language": ["en"], "license": "cc-by-nc-sa-4.0", "size_categories": ["n<1K"], "task_categories": ["question-answering", "token-classification"], "pretty_name": "Named Entity Recognition of funders of scientific research"}
TAGS
#task_categories-question-answering #task_categories-token-classification #size_categories-n<1K #language-English #license-cc-by-nc-sa-4.0 #doi-10.57967/hf/1011 #region-us 

# Dataset Card for Dataset Named Entity Recognition of funders of scientific research

## Dataset Description

- Homepage:URL 
- Repository:URL 
- Paper: URL 
- Leaderboard: 
- Point of Contact: 

### Dataset Summary

Training/test set for automatically identifying funder entities mentioned in scientific papers. This data set is generated from Open Access documents hosted at URL and manually curated/labeled.

### Supported Tasks and Leaderboards

The dataset is for training and testing the automatic recognition of funders as they are acknowledged in scientific papers.

### Languages

English

## Dataset Structure

### Data Instances



### Data Fields

"handle: the PID of the OA working paper"
"crossref_doi: the PID of the corresponding publication (article), as registered via CrossRef"
"crossref_phrase: the funder according to CrossRef metadata"
"pdf_phrase: the acknowledgement phrase from the paper"
"funder: Y(es) in case there is at least one funder, N(o) in case there is no funder supporting the work, but OA publishing funding"

### Data Splits



## Dataset Creation

### Curation Rationale

The dataset was manually curated to train the NER recognition based on a QA system.

### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information







### Contributions


# Dataset Card for Dataset Named Entity Recognition of funders of scientific research ## Dataset Description

- Homepage:URL 
- Repository:URL 
- Paper: URL 
- Leaderboard: 
- Point of Contact: ### Dataset Summary

Training/test set for automatically identifying funder entities mentioned in scientific papers. This data set is generated from Open Access documents hosted at URL and manually curated/labeled. ### Supported Tasks and Leaderboards

The dataset is for training and testing the automatic recognition of funders as they are acknowledged in scientific papers. ### Languages

English ## Dataset Structure ### Data Instances ### Data Fields

"handle: the PID of the OA working paper"
"crossref_doi: the PID of the corresponding publication (article), as registered via CrossRef"
"crossref_phrase: the funder according to CrossRef metadata"
"pdf_phrase: the acknowledgement phrase from the paper"
"funder: Y(es) in case there is at least one funder, N(o) in case there is no funder supporting the work, but OA publishing funding" ### Data Splits ## Dataset Creation ### Curation Rationale

The dataset was manually curated to train the NER recognition based on a QA system. ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions
TAGS
#task_categories-question-answering #task_categories-token-classification #size_categories-n<1K #language-English #license-cc-by-nc-sa-4.0 #doi-10.57967/hf/1011 #region-us 
 # Dataset Card for Dataset Named Entity Recognition of funders of scientific research ## Dataset Description

- Homepage:URL 
- Repository:URL 
- Paper: URL 
- Leaderboard: 
- Point of Contact: ### Dataset Summary

Training/test set for automatically identifying funder entities mentioned in scientific papers. This data set is generated from Open Access documents hosted at URL and manually curated/labeled. ### Supported Tasks and Leaderboards

The dataset is for training and testing the automatic recognition of funders as they are acknowledged in scientific papers. ### Languages

English ## Dataset Structure ### Data Instances ### Data Fields

"handle: the PID of the OA working paper"
"crossref_doi: the PID of the corresponding publication (article), as registered via CrossRef"
"crossref_phrase: the funder according to CrossRef metadata"
"pdf_phrase: the acknowledgement phrase from the paper"
"funder: Y(es) in case there is at least one funder, N(o) in case there is no funder supporting the work, but OA publishing funding" ### Data Splits ## Dataset Creation ### Curation Rationale

The dataset was manually curated to train the NER recognition based on a QA system. ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions
passage: TAGS
#task_categories-question-answering #task_categories-token-classification #size_categories-n<1K #language-English #license-cc-by-nc-sa-4.0 #doi-10.57967/hf/1011 #region-us 
# Dataset Card for Dataset Named Entity Recognition of funders of scientific research## Dataset Description

- Homepage:URL 
- Repository:URL 
- Paper: URL 
- Leaderboard: 
- Point of Contact:### Dataset Summary

Training/test set for automatically identifying funder entities mentioned in scientific papers. This data set is generated from Open Access documents hosted at URL and manually curated/labeled.### Supported Tasks and Leaderboards

The dataset is for training and testing the automatic recognition of funders as they are acknowledged in scientific papers.### Languages

English## Dataset Structure### Data Instances### Data Fields

"handle: the PID of the OA working paper"
"crossref_doi: the PID of the corresponding publication (article), as registered via CrossRef"
"crossref_phrase: the funder according to CrossRef metadata"
"pdf_phrase: the acknowledgement phrase from the paper"
"funder: Y(es) in case there is at least one funder, N(o) in case there is no funder supporting the work, but OA publishing funding"### Data Splits## Dataset Creation### Curation Rationale

The dataset was manually curated to train the NER recognition based on a QA system.### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information### Dataset Curators### Licensing Information### Contributions