Add link to paper

#1
by nielsr HF staff - opened
Files changed (1) hide show
  1. README.md +21 -27
README.md CHANGED
@@ -3,7 +3,10 @@ base_model: FacebookAI/roberta-base
3
  datasets:
4
  - SynthSTEL/styledistance_training_triplets
5
  - StyleDistance/synthstel
 
 
6
  library_name: sentence-transformers
 
7
  pipeline_tag: sentence-similarity
8
  tags:
9
  - datadreamer
@@ -14,42 +17,33 @@ tags:
14
  - sentence-similarity
15
  widget:
16
  - example_title: Example 1
17
- source_sentence: >-
18
- Did you hear about the Wales wing? He'll h8 2 withdraw due 2 injuries from
19
- future competitions.
20
- sentences:
21
- - >-
22
- We're raising funds 2 improve our school's storage facilities and add new
23
- playground equipment!
24
- - >-
25
- Did you hear about the Wales wing? He'll hate to withdraw due to injuries
26
  from future competitions.
 
 
 
 
 
27
  - example_title: Example 2
28
- source_sentence: >-
29
- You planned the DesignMeets Decades of Design event; you executed it
30
- perfectly.
31
  sentences:
32
  - We'll find it hard to prove the thief didn't face a real threat!
33
- - >-
34
- You orchestrated the DesignMeets Decades of Design gathering; you actualized
35
- it flawlessly.
36
  - example_title: Example 3
37
- source_sentence: >-
38
- Did the William Barr maintain a commitment to allow Robert Mueller to finish
39
- the inquiry?
40
  sentences:
41
- - >-
42
- Will the artist be compiling a music album, or will there be a different
43
- focus in the future?
44
- - >-
45
- Did William Barr maintain commitment to allow Robert Mueller to finish
46
- inquiry?
47
- license: mit
48
- language:
49
- - en
50
  ---
 
51
  # Model Card
52
 
 
 
53
  StyleDistance is a **style embedding model** that aims to embed texts with similar writing styles closely and different styles far apart, regardless of content. You may find this model useful for stylistic analysis of text, clustering, authorship identfication and verification tasks, and automatic style transfer evaluation.
54
 
55
  ## Training Data and Variants of StyleDistance
 
3
  datasets:
4
  - SynthSTEL/styledistance_training_triplets
5
  - StyleDistance/synthstel
6
+ language:
7
+ - en
8
  library_name: sentence-transformers
9
+ license: mit
10
  pipeline_tag: sentence-similarity
11
  tags:
12
  - datadreamer
 
17
  - sentence-similarity
18
  widget:
19
  - example_title: Example 1
20
+ source_sentence: Did you hear about the Wales wing? He'll h8 2 withdraw due 2 injuries
 
 
 
 
 
 
 
 
21
  from future competitions.
22
+ sentences:
23
+ - We're raising funds 2 improve our school's storage facilities and add new playground
24
+ equipment!
25
+ - Did you hear about the Wales wing? He'll hate to withdraw due to injuries from
26
+ future competitions.
27
  - example_title: Example 2
28
+ source_sentence: You planned the DesignMeets Decades of Design event; you executed
29
+ it perfectly.
 
30
  sentences:
31
  - We'll find it hard to prove the thief didn't face a real threat!
32
+ - You orchestrated the DesignMeets Decades of Design gathering; you actualized it
33
+ flawlessly.
 
34
  - example_title: Example 3
35
+ source_sentence: Did the William Barr maintain a commitment to allow Robert Mueller
36
+ to finish the inquiry?\
 
37
  sentences:
38
+ - Will the artist be compiling a music album, or will there be a different focus
39
+ in the future?
40
+ - Did William Barr maintain commitment to allow Robert Mueller to finish inquiry?
 
 
 
 
 
 
41
  ---
42
+
43
  # Model Card
44
 
45
+ This repository contains the model introduced in [StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples](https://huggingface.co/papers/2410.12757).
46
+
47
  StyleDistance is a **style embedding model** that aims to embed texts with similar writing styles closely and different styles far apart, regardless of content. You may find this model useful for stylistic analysis of text, clustering, authorship identfication and verification tasks, and automatic style transfer evaluation.
48
 
49
  ## Training Data and Variants of StyleDistance