Add presupposition_possessed_definites_existence data files

README.md

@@ -485,10 +485,10 @@ dataset_info:
     dtype: int16
   splits:
   - name: possessed_definites_existence
-    num_bytes: 362334
+    num_bytes: 362302
     num_examples: 1900
-  download_size: 335088
-  dataset_size: 362334
+  download_size: 38712
+  dataset_size: 362302
 - config_name: presupposition_possessed_definites_uniqueness
   features:
   - name: premise
@@ -580,6 +580,10 @@ configs:
   data_files:
   - split: only_presupposition
     path: presupposition_only_presupposition/only_presupposition-*
+- config_name: presupposition_possessed_definites_existence
+  data_files:
+  - split: possessed_definites_existence
+    path: presupposition_possessed_definites_existence/possessed_definites_existence-*
 ---
 
 # Dataset Card for IMPPRES

dataset_infos.json

@@ -439,68 +439,54 @@
         "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_possessed_definites_existence",
         "version": {
             "version_str": "1.1.0",
-            "description": null,
             "major": 1,
             "minor": 1,
             "patch": 0
@@ -508,21 +494,14 @@
         "splits": {
             "possessed_definites_existence": {
                 "name": "possessed_definites_existence",
-                "num_bytes": 362334,
+                "num_bytes": 362302,
                 "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": 362334,
-        "size_in_bytes": 697422
+        "download_size": 38712,
+        "dataset_size": 362302,
+        "size_in_bytes": 401014
     },
     "presupposition_possessed_definites_uniqueness": {
         "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_possessed_definites_existence/possessed_definites_existence-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:567496b59e5a13a2492d5edf9967c00a8e6c8ad51c12b3ab3929123aeaa5875e
+size 38712