---
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](https://iasbs.ac.ir/~ansari/lscp/) that only contains the text and part-of-speech tags and is used for sequence labeling.

### Citation
```bibtex
@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}
}
```