Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
named-entity-recognition
Languages:
Persian
Size:
10K - 100K
ArXiv:
Tags:
named entity recognition
License:
annotations_creators: | |
- crowdsourced | |
language: | |
- fa | |
language_creators: | |
- machine-generated | |
license: | |
- other | |
multilinguality: | |
- monolingual | |
pretty_name: conll2003-persian | |
size_categories: | |
- 10K<n<100K | |
source_datasets: | |
- extended|conll2003 | |
tags: | |
- named entity recognition | |
task_categories: | |
- token-classification | |
task_ids: | |
- named-entity-recognition | |
train-eval-index: | |
- col_mapping: | |
ner_tags: tags | |
tokens: tokens | |
config: conll2003 | |
metrics: | |
- name: seqeval | |
type: seqeval | |
splits: | |
eval_split: test | |
train_split: train | |
task: token-classification | |
task_id: entity_extraction | |
# 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] | |