PiC commited on
Commit
7f26250
·
1 Parent(s): 474c156

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +32 -7
README.md CHANGED
@@ -11,7 +11,7 @@ licenses:
11
  multilinguality:
12
  - monolingual
13
  paperswithcode_id:
14
- pretty_name: 'PiC: Phrase Similarity'
15
  size_categories:
16
  - 10K<n<100K
17
  source_datasets:
@@ -22,7 +22,7 @@ task_ids:
22
  - semantic-similarity-classification
23
  ---
24
 
25
- # Dataset Card for [PiC: Phrase Similarity]
26
 
27
  ## Table of Contents
28
  - [Table of Contents](#table-of-contents)
@@ -59,7 +59,9 @@ task_ids:
59
 
60
  ### Dataset Summary
61
 
62
- [More Information Needed]
 
 
63
 
64
  ### Supported Tasks and Leaderboards
65
 
@@ -67,21 +69,44 @@ task_ids:
67
 
68
  ### Languages
69
 
70
- [More Information Needed]
71
 
72
  ## Dataset Structure
73
 
74
  ### Data Instances
75
 
76
- [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
77
 
78
  ### Data Fields
79
 
80
- [More Information Needed]
 
 
 
 
 
 
 
81
 
82
  ### Data Splits
83
 
84
- [More Information Needed]
 
 
85
 
86
  ## Dataset Creation
87
 
 
11
  multilinguality:
12
  - monolingual
13
  paperswithcode_id:
14
+ pretty_name: 'PiC: Phrase Similarity (PS)'
15
  size_categories:
16
  - 10K<n<100K
17
  source_datasets:
 
22
  - semantic-similarity-classification
23
  ---
24
 
25
+ # Dataset Card for "PiC: Phrase Similarity"
26
 
27
  ## Table of Contents
28
  - [Table of Contents](#table-of-contents)
 
59
 
60
  ### Dataset Summary
61
 
62
+ PS is a binary classification task with the goal of predicting whether two multi-word noun phrases are semantically similar or not given *the same context* sentence.
63
+ This dataset contains ~56K pairs of two phrases along with their contexts used for disambiguation, since two phrases only sometimes are not enough for semantic comparison.
64
+ Around 28K positive examples were annotated by linguistic experts on Upwork.com while the other 28K negative examples were created by randomly replacing 50% of the phrase tokens in the positive examples.
65
 
66
  ### Supported Tasks and Leaderboards
67
 
 
69
 
70
  ### Languages
71
 
72
+ English.
73
 
74
  ## Dataset Structure
75
 
76
  ### Data Instances
77
 
78
+ **PS**
79
+ * Size of downloaded dataset files: 25.03 MB
80
+ * Size of the generated dataset: 16.22 MB
81
+ * Total amount of disk used: 41.25 MB
82
+
83
+ ```
84
+ {
85
+ "phrase1": "greater presence",
86
+ "phrase2": "msie usage",
87
+ "sentence1": "The songs on the album feature a greater presence of band member Martin Swope's electronic and tape sound effects than with the band's previous recordings.",
88
+ "sentence2": "The songs on the album feature a msie usage of band member Martin Swope's electronic and tape sound effects than with the band's previous recordings.",
89
+ "label": 0,
90
+ "idx": 1,
91
+ }
92
+ ```
93
 
94
  ### Data Fields
95
 
96
+ The data fields are the same among all splits.
97
+
98
+ * phrase1: a string feature.
99
+ * phrase2: a string feature.
100
+ * sentence1: a string feature.
101
+ * sentence2: a string feature.
102
+ * label: an int32 feature.
103
+ * idx: an int32 feature.
104
 
105
  ### Data Splits
106
 
107
+ | name |train |validation|test |
108
+ |--------------------|----:|--------:|----:|
109
+ |PS |39436| 5634|11266|
110
 
111
  ## Dataset Creation
112