Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
natural-language-inference
Languages:
English
Size:
10K - 100K
License:
Update files from the datasets library (from 1.6.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.6.0
- README.md +1 -1
- imppres.py +0 -1
README.md
CHANGED
@@ -10,7 +10,7 @@ licenses:
|
|
10 |
multilinguality:
|
11 |
- monolingual
|
12 |
size_categories:
|
13 |
-
-
|
14 |
source_datasets:
|
15 |
- original
|
16 |
task_categories:
|
|
|
10 |
multilinguality:
|
11 |
- monolingual
|
12 |
size_categories:
|
13 |
+
- 1K<n<10K
|
14 |
source_datasets:
|
15 |
- original
|
16 |
task_categories:
|
imppres.py
CHANGED
@@ -14,7 +14,6 @@
|
|
14 |
# limitations under the License.
|
15 |
"""Over 25k semiautomatically generated sentence pairs illustrating well-studied pragmatic inference types. IMPPRES is an NLI dataset following the format of SNLI (Bowman et al., 2015), MultiNLI (Williams et al., 2018) and XNLI (Conneau et al., 2018), which was created to evaluate how well trained NLI models recognize several classes of presuppositions and scalar implicatures."""
|
16 |
|
17 |
-
from __future__ import absolute_import, division, print_function
|
18 |
|
19 |
import json
|
20 |
import os
|
|
|
14 |
# limitations under the License.
|
15 |
"""Over 25k semiautomatically generated sentence pairs illustrating well-studied pragmatic inference types. IMPPRES is an NLI dataset following the format of SNLI (Bowman et al., 2015), MultiNLI (Williams et al., 2018) and XNLI (Conneau et al., 2018), which was created to evaluate how well trained NLI models recognize several classes of presuppositions and scalar implicatures."""
|
16 |
|
|
|
17 |
|
18 |
import json
|
19 |
import os
|