notional commited on
Commit
fc062e5
1 Parent(s): 79f78c9

Update README.md, remove unfilled information.

Browse files
Files changed (1) hide show
  1. README.md +0 -67
README.md CHANGED
@@ -26,17 +26,10 @@ task_ids:
26
  ## Table of Contents
27
  - [Dataset Description](#dataset-description)
28
  - [Dataset Summary](#dataset-summary)
29
- - [Supported Tasks](#supported-tasks-and-leaderboards)
30
  - [Languages](#languages)
31
- - [Dataset Structure](#dataset-structure)
32
- - [Data Instances](#data-instances)
33
- - [Data Fields](#data-instances)
34
- - [Data Splits](#data-instances)
35
  - [Dataset Creation](#dataset-creation)
36
  - [Curation Rationale](#curation-rationale)
37
  - [Source Data](#source-data)
38
- - [Annotations](#annotations)
39
- - [Personal and Sensitive Information](#personal-and-sensitive-information)
40
  - [Considerations for Using the Data](#considerations-for-using-the-data)
41
  - [Social Impact of Dataset](#social-impact-of-dataset)
42
  - [Discussion of Biases](#discussion-of-biases)
@@ -59,28 +52,10 @@ task_ids:
59
  The Notional-python dataset contains python code files from 100 well-known repositories gathered from Google Bigquery Github Dataset. The dataset was created to test the ability of programming language models.
60
  Follow [our repo]() to do the model evaluation using notional-python dataset.
61
 
62
- ### Supported Tasks and Leaderboards
63
-
64
- [Needs More Information]
65
-
66
  ### Languages
67
 
68
  Python
69
 
70
- ## Dataset Structure
71
-
72
- ### Data Instances
73
-
74
- [Needs More Information]
75
-
76
- ### Data Fields
77
-
78
- [Needs More Information]
79
-
80
- ### Data Splits
81
-
82
- [Needs More Information]
83
-
84
  ## Dataset Creation
85
 
86
  ### Curation Rationale
@@ -101,45 +76,3 @@ In order to improve the quality of the dataset, only python code files that meet
101
  #### Who are the source language producers?
102
 
103
  The producers are users of github.
104
-
105
- ### Annotations
106
-
107
- #### Annotation process
108
-
109
- [Needs More Information]
110
-
111
- #### Who are the annotators?
112
-
113
- [Needs More Information]
114
-
115
- ### Personal and Sensitive Information
116
-
117
- [Needs More Information]
118
-
119
- ## Considerations for Using the Data
120
-
121
- ### Social Impact of Dataset
122
-
123
- [Needs More Information]
124
-
125
- ### Discussion of Biases
126
-
127
- [Needs More Information]
128
-
129
- ### Other Known Limitations
130
-
131
- [Needs More Information]
132
-
133
- ## Additional Information
134
-
135
- ### Dataset Curators
136
-
137
- [Needs More Information]
138
-
139
- ### Licensing Information
140
-
141
- [Needs More Information]
142
-
143
- ### Citation Information
144
-
145
- [Needs More Information]
26
  ## Table of Contents
27
  - [Dataset Description](#dataset-description)
28
  - [Dataset Summary](#dataset-summary)
 
29
  - [Languages](#languages)
 
 
 
 
30
  - [Dataset Creation](#dataset-creation)
31
  - [Curation Rationale](#curation-rationale)
32
  - [Source Data](#source-data)
 
 
33
  - [Considerations for Using the Data](#considerations-for-using-the-data)
34
  - [Social Impact of Dataset](#social-impact-of-dataset)
35
  - [Discussion of Biases](#discussion-of-biases)
52
  The Notional-python dataset contains python code files from 100 well-known repositories gathered from Google Bigquery Github Dataset. The dataset was created to test the ability of programming language models.
53
  Follow [our repo]() to do the model evaluation using notional-python dataset.
54
 
 
 
 
 
55
  ### Languages
56
 
57
  Python
58
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
59
  ## Dataset Creation
60
 
61
  ### Curation Rationale
76
  #### Who are the source language producers?
77
 
78
  The producers are users of github.