mmarimon commited on
Commit
ab4fbaa
·
1 Parent(s): 1ca1e4f

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +5 -7
README.md CHANGED
@@ -10,8 +10,6 @@ license:
10
  multilinguality:
11
  - monolingual
12
  pretty_name: Parafraseja
13
- size_categories:
14
- - ?
15
  task_categories:
16
  - text-classification
17
  task_ids:
@@ -52,6 +50,8 @@ task_ids:
52
 
53
  Parafraseja is a dataset of 21,984 pairs of sentences with a label that indicates if they are paraphrases or not. The original sentences were collected from [TE-ca](https://huggingface.co/datasets/projecte-aina/teca) and [STS-ca](https://huggingface.co/datasets/projecte-aina/sts-ca). For each sentence, an annotator wrote a sentence that was a paraphrase and another that was not. The guidelines of this annotation are available.
54
 
 
 
55
  ### Supported Tasks and Leaderboards
56
 
57
  This dataset is mainly intended to train models for paraphrase detection.
@@ -63,7 +63,7 @@ The dataset is in Catalan (`ca-ES`).
63
 
64
  ## Dataset Structure
65
 
66
- The dataset consists of pairs of sentences labelleCAd with "Parafrasis" or "No Parafrasis" in a jsonl format.
67
 
68
  ### Data Instances
69
 
@@ -109,7 +109,7 @@ TE-ca and STS-ca come from the [Catalan Textual Corpus](https://zenodo.org/recor
109
  ### Annotations
110
 
111
  The dataset is annotated with the label "Parafrasis" or "No Parafrasis" for each pair of sentences.
112
- CA
113
  #### Annotation process
114
 
115
  The annotation process was done by a single annotator and reviewed by another.
@@ -142,13 +142,11 @@ We are aware that this data might contain biases. We have not applied any steps
142
 
143
  Text Mining Unit (TeMU) at the Barcelona Supercomputing Center ([email protected])
144
 
145
-
146
  This work was funded by the [Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya](https://politiquesdigitals.gencat.cat/ca/inici/index.html#googtrans(ca|en) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).
147
 
148
  ### Licensing Information
149
 
150
- [Creative Commons Attribution Non-commercial No-Derivatives 4.0 International](https://creativecommons.org/licenses/by-nc-nd/4.0/).
151
-
152
 
153
 
154
  ### Contributions
 
10
  multilinguality:
11
  - monolingual
12
  pretty_name: Parafraseja
 
 
13
  task_categories:
14
  - text-classification
15
  task_ids:
 
50
 
51
  Parafraseja is a dataset of 21,984 pairs of sentences with a label that indicates if they are paraphrases or not. The original sentences were collected from [TE-ca](https://huggingface.co/datasets/projecte-aina/teca) and [STS-ca](https://huggingface.co/datasets/projecte-aina/sts-ca). For each sentence, an annotator wrote a sentence that was a paraphrase and another that was not. The guidelines of this annotation are available.
52
 
53
+ This work is licensed under a [Creative Commons Attribution Non-commercial No-Derivatives 4.0 International] License(https://creativecommons.org/licenses/by-nc-nd/4.0/).
54
+
55
  ### Supported Tasks and Leaderboards
56
 
57
  This dataset is mainly intended to train models for paraphrase detection.
 
63
 
64
  ## Dataset Structure
65
 
66
+ The dataset consists of pairs of sentences labelled with "Parafrasis" or "No Parafrasis" in a jsonl format.
67
 
68
  ### Data Instances
69
 
 
109
  ### Annotations
110
 
111
  The dataset is annotated with the label "Parafrasis" or "No Parafrasis" for each pair of sentences.
112
+
113
  #### Annotation process
114
 
115
  The annotation process was done by a single annotator and reviewed by another.
 
142
 
143
  Text Mining Unit (TeMU) at the Barcelona Supercomputing Center ([email protected])
144
 
 
145
  This work was funded by the [Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya](https://politiquesdigitals.gencat.cat/ca/inici/index.html#googtrans(ca|en) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).
146
 
147
  ### Licensing Information
148
 
149
+ This work is licensed under a [Creative Commons Attribution Non-commercial No-Derivatives 4.0 International] License(https://creativecommons.org/licenses/by-nc-nd/4.0/).
 
150
 
151
 
152
  ### Contributions