metadata
language:
- fa
task_categories:
- token-classification
pretty_name: LSCP Dataset (500k samples version)
dataset_info:
features:
- name: tokens
sequence: string
- name: pos_tags
sequence:
class_label:
names:
'0': P
'1': Ne
'2': PRO
'3': CONJ
'4': 'N'
'5': PUNC
'6': Pe
'7': ADV
'8': V
'9': AJ
'10': AJe
'11': DET
'12': POSTP
'13': NUM
'14': DETe
'15': NUMe
'16': PROe
'17': ADVe
'18': RES
'19': CL
'20': INT
'21': CONJe
'22': RESe
splits:
- name: train
num_bytes: 156464559
num_examples: 449998
- name: test
num_bytes: 17384986
num_examples: 50000
download_size: 46556766
dataset_size: 173849545
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
This is a 500 thousand sample version of the original LSCP dataset that only contains the text and part-of-speech tags and is used for sequence labeling.
Citation
@InProceedings{abdikhojasteh:2020:LREC,
author = {Abdi Khojasteh, Hadi and Ansari, Ebrahim and Bohlouli, Mahdi},
title = {LSCP: Enhanced Large Scale Colloquial Persian Language Understanding},
booktitle = {Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC 2020)},
year = {2020}
address = {Marseille, France},
publisher = {European Language Resources Association}
pages = {6323--6327},
url = {https://www.aclweb.org/anthology/2020.lrec-1.776}
}