Add presupposition_question_presupposition data files

README.md

@@ -551,10 +551,10 @@ dataset_info:
     dtype: int16
   splits:
   - name: question_presupposition
-    num_bytes: 397227
+    num_bytes: 397195
     num_examples: 1900
-  download_size: 335088
-  dataset_size: 397227
+  download_size: 41247
+  dataset_size: 397195
 configs:
 - config_name: presupposition_all_n_presupposition
   data_files:
@@ -588,6 +588,10 @@ configs:
   data_files:
   - split: possessed_definites_uniqueness
     path: presupposition_possessed_definites_uniqueness/possessed_definites_uniqueness-*
+- config_name: presupposition_question_presupposition
+  data_files:
+  - split: question_presupposition
+    path: presupposition_question_presupposition/question_presupposition-*
 ---
 
 # Dataset Card for IMPPRES

dataset_infos.json

@@ -583,68 +583,54 @@
         "features": {
             "premise": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "hypothesis": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "trigger": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "trigger1": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "trigger2": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "presupposition": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "gold_label": {
-                "num_classes": 3,
                 "names": [
                     "entailment",
                     "neutral",
                     "contradiction"
                 ],
-                "names_file": null,
-                "id": null,
                 "_type": "ClassLabel"
             },
             "UID": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "pairID": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "paradigmID": {
                 "dtype": "int16",
-                "id": null,
                 "_type": "Value"
             }
         },
-        "post_processed": null,
-        "supervised_keys": null,
-        "builder_name": "imppres",
+        "builder_name": "parquet",
+        "dataset_name": "imppres",
         "config_name": "presupposition_question_presupposition",
         "version": {
             "version_str": "1.1.0",
-            "description": null,
             "major": 1,
             "minor": 1,
             "patch": 0
@@ -652,21 +638,14 @@
         "splits": {
             "question_presupposition": {
                 "name": "question_presupposition",
-                "num_bytes": 397227,
+                "num_bytes": 397195,
                 "num_examples": 1900,
-                "dataset_name": "imppres"
-            }
-        },
-        "download_checksums": {
-            "https://github.com/facebookresearch/Imppres/blob/master/dataset/IMPPRES.zip?raw=true": {
-                "num_bytes": 335088,
-                "checksum": "f1f4ab03aec2248dcfbcb00b80e6099c592751cca2b542b208c6cf46f2926937"
+                "dataset_name": null
             }
         },
-        "download_size": 335088,
-        "post_processing_size": null,
-        "dataset_size": 397227,
-        "size_in_bytes": 732315
+        "download_size": 41247,
+        "dataset_size": 397195,
+        "size_in_bytes": 438442
     },
     "implicature_connectives": {
         "description": "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.",

presupposition_question_presupposition/question_presupposition-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c25b1f61067defba8f886fbefc87d615f0e6b3d7b3ccaa7cf7fa68fc6700e663
+size 41247