Datasets:
SLPL
/

Languages:
Persian
ArXiv:
License:
sadrasabouri commited on
Commit
8c41eb7
1 Parent(s): d2a5091

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +7 -5
README.md CHANGED
@@ -5,8 +5,8 @@ license:
5
  - mit
6
  multilinguality:
7
  - monolingual
8
- size_categories:
9
- - 200M<n<300M
10
  task_categories:
11
  - language-modeling
12
  - masked-language-modeling
@@ -26,6 +26,7 @@ _[If you want to join our community to keep up with news, models and datasets fr
26
  - [Dataset Summary](#dataset-summary)
27
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
28
  - [Languages](#languages)
 
29
  - [Dataset Structure](#dataset-structure)
30
  - [Data Instances](#data-instances)
31
  - [Data Fields](#data-fields)
@@ -49,11 +50,12 @@ _[If you want to join our community to keep up with news, models and datasets fr
49
  - **Point of Contact:** [Sadra Sabouri](mailto:sabouri.sadra@gmail.com)
50
 
51
  ### Dataset Summary
52
- SOON
 
53
 
54
  ### Supported Tasks and Leaderboards
55
 
56
- This corpus can be used for training all language models which can be trained by Masked Language Modeling (MLM) or any other self-supervised objective.
57
 
58
  - `language-modeling`
59
  - `masked-language-modeling`
@@ -71,7 +73,7 @@ Each row of the dataset will look like something like the below:
71
 
72
  ### Data Splits
73
 
74
- SOON
75
 
76
  ## Dataset Creation
77
 
 
5
  - mit
6
  multilinguality:
7
  - monolingual
8
+ #size_categories:
9
+ #- 200M<n<300M
10
  task_categories:
11
  - language-modeling
12
  - masked-language-modeling
 
26
  - [Dataset Summary](#dataset-summary)
27
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
28
  - [Languages](#languages)
29
+ - [Changelog](#changelog)
30
  - [Dataset Structure](#dataset-structure)
31
  - [Data Instances](#data-instances)
32
  - [Data Fields](#data-fields)
 
50
  - **Point of Contact:** [Sadra Sabouri](mailto:sabouri.sadra@gmail.com)
51
 
52
  ### Dataset Summary
53
+
54
+ This is the raw (uncleaned) version of the [naab](https://huggingface.co/datasets/SLPL/naab) corpus. You can use also customize our [preprocess script](https://github.com/Sharif-SLPL/t5-fa/tree/main/preprocess) and make your own cleaned corpus. This repository is a hub for all Farsi corpora. Feel free to add your corpus following the [contribution guidelines](#contribution-guideline).
55
 
56
  ### Supported Tasks and Leaderboards
57
 
58
+ This corpus can be used for training all language models trained by Masked Language Modeling (MLM) or any other self-supervised objective.
59
 
60
  - `language-modeling`
61
  - `masked-language-modeling`
 
73
 
74
  ### Data Splits
75
 
76
+ This corpus contains only a split (the `train` split).
77
 
78
  ## Dataset Creation
79