Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
named-entity-recognition
Languages:
Persian
Size:
1K - 10K
ArXiv:
Tags:
named entity recognition
License:
File size: 3,407 Bytes
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---
annotations_creators:
- expert-generated
language:
- fa
language_creators:
- machine-generated
license:
- other
multilinguality:
- monolingual
pretty_name: ncbi-persian
size_categories:
- 1K<n<10K
source_datasets:
- extended|ncbi_disease
tags:
- named entity recognition
task_categories:
- token-classification
task_ids:
- named-entity-recognition
train-eval-index:
- col_mapping:
ner_tags: target
tokens: text
config: ncbi_disease
metrics:
- name: Accuracy
type: accuracy
- args:
average: macro
name: F1 macro
type: f1
- args:
average: micro
name: F1 micro
type: f1
- args:
average: weighted
name: F1 weighted
type: f1
- args:
average: macro
name: Precision macro
type: precision
- args:
average: micro
name: Precision micro
type: precision
- args:
average: weighted
name: Precision weighted
type: precision
- args:
average: macro
name: Recall macro
type: recall
- args:
average: micro
name: Recall micro
type: recall
- args:
average: weighted
name: Recall weighted
type: recall
splits:
eval_split: test
train_split: train
task: token-classification
---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
If you used the datasets and models in this repository, please cite it.
```bibtex
@misc{https://doi.org/10.48550/arxiv.2302.09611,
doi = {10.48550/ARXIV.2302.09611},
url = {https://arxiv.org/abs/2302.09611},
author = {Sartipi, Amir and Fatemi, Afsaneh},
keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Exploring the Potential of Machine Translation for Generating Named Entity Datasets: A Case Study between Persian and English},
publisher = {arXiv},
year = {2023},
copyright = {arXiv.org perpetual, non-exclusive license}
}
```
### Contributions
[More Information Needed]
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