Datasets:
imppres

Task Categories: text-classification
Languages: English
Multilinguality: monolingual
Size Categories: 1K<n<10K
Language Creators: machine-generated
Annotations Creators: machine-generated
Source Datasets: original
system
HF staff
commited on
Commit
f721c75
1 Parent(s): 42bf501

Update files from the datasets library (from 1.6.0)

Browse files

Release notes: https://github.com/huggingface/datasets/releases/tag/1.6.0

Files changed (2) hide show
  1. README.md +1 -1
  2. imppres.py +0 -1
README.md CHANGED
@@ -10,7 +10,7 @@ licenses:
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  multilinguality:
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  - monolingual
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  size_categories:
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- - 10K<n<100K
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  source_datasets:
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  - original
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  task_categories:
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  multilinguality:
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  - monolingual
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  size_categories:
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+ - 1K<n<10K
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  source_datasets:
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  - original
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  task_categories:
imppres.py CHANGED
@@ -14,7 +14,6 @@
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  # limitations under the License.
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  """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."""
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- from __future__ import absolute_import, division, print_function
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  import json
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  import os
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  # limitations under the License.
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  """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."""
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  import json
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  import os