Datasets:

Modalities:
Text
ArXiv:
Libraries:
Datasets
herbievore commited on
Commit
5843075
1 Parent(s): e13c0f5

0.0.6 Citation and README update

Browse files
Files changed (2) hide show
  1. README.md +6 -1
  2. ctkfacts_nli.py +18 -2
README.md CHANGED
@@ -1,2 +1,7 @@
1
  # CTKFacts dataset for Natural Language Inference
2
- todo
 
 
 
 
 
 
1
  # CTKFacts dataset for Natural Language Inference
2
+
3
+ Czech Natural Language Inference dataset of ~5K *evidence*-*claim* pairs labelled with SUPPORTS, REFUTES or NOT ENOUGH INFO veracity labels. Extracted from a round of fact-checking experiments concluded and described within the CsFEVER and [CTKFacts: Czech Datasets for Fact Verification](https://arxiv.org/abs/2201.11115) paper currently being revised for publication in LREV journal.
4
+
5
+ ## Data Statement
6
+
7
+ ### Curation Rationale
ctkfacts_nli.py CHANGED
@@ -6,7 +6,7 @@ import json
6
 
7
  from datasets.info import DatasetInfo
8
 
9
- _VERSION = "0.0.5"
10
 
11
  _URL= "data/"
12
 
@@ -21,7 +21,23 @@ CtkFactsNLI is a NLI version of the Czech CTKFacts dataset
21
  """
22
 
23
  _CITATION = """\
24
- todo
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
25
  """
26
 
27
  datasets.utils.version.Version
 
6
 
7
  from datasets.info import DatasetInfo
8
 
9
+ _VERSION = "0.0.6"
10
 
11
  _URL= "data/"
12
 
 
21
  """
22
 
23
  _CITATION = """\
24
+ @article{DBLP:journals/corr/abs-2201-11115,
25
+ author = {Jan Drchal and
26
+ Herbert Ullrich and
27
+ Martin R{\'{y}}par and
28
+ Hana Vincourov{\'{a}} and
29
+ V{\'{a}}clav Moravec},
30
+ title = {CsFEVER and CTKFacts: Czech Datasets for Fact Verification},
31
+ journal = {CoRR},
32
+ volume = {abs/2201.11115},
33
+ year = {2022},
34
+ url = {https://arxiv.org/abs/2201.11115},
35
+ eprinttype = {arXiv},
36
+ eprint = {2201.11115},
37
+ timestamp = {Tue, 01 Feb 2022 14:59:01 +0100},
38
+ biburl = {https://dblp.org/rec/journals/corr/abs-2201-11115.bib},
39
+ bibsource = {dblp computer science bibliography, https://dblp.org}
40
+ }
41
  """
42
 
43
  datasets.utils.version.Version